-
Essential Duties and Responsibilities:
- Responsible for the architectural integrity of the program and maintaining the enterprise vision of the solution from a technical and business perspective.
Find balanced solutions that satisfy both business and technical requirements.
- Responsible for the business/technical solution and guiding what should be done within the program to ensure alignment with the enterprise strategy.
- Provide technical design, prototype development, and support to program management in the initiation, design, development, implementation, maintenance and management of service- based enterprise architecture.
- Lead enterprise architecture analysis, evaluation, design, integration, documentation, and development.
Mediate between competing priorities or technical disagreements.
-Participate in technical working sessions and gather input from SMEs.
- Work with internal and external teams to incorporate domain-specific capabilities and competencies into solution designs.
- Work closely with business leaders, customers, or other stakeholders to understand priorities and constraints.
Facilitate collaboration across organizations and act as a bridge between technical teams and non-technical stakeholders.
-Work directly with customers to understand their needs and design tailored solutions.
Build trust and credibility through consistent delivery and transparency.
- Help guide teams through technology transitions.
Support training and adoption efforts to ensure successful implementation.
- Communicate and collaborate both internal and external to the organization, which includes stakeholders, clients, SMEs, vendors and various teams.
- Provide guidance, coaching, and training to technical employees across the company.
- Delegate and review work of junior technical professionals.
Job-Specific Essential Duties and Responsibilities:
Fast-Turn Information Request Support:
- Serve as a primary point of coordination for fast-turn customer information requests (data calls, sources sought, capability statements, quick-turn questions) within Federal Civilian.
- Triage incoming requests, identify the right internal contributors, and drive them to an on-time, quality response.
- Maintain a working library of reusable content, past responses, and approved messaging on citizen services modernization, contact center/CX transformation, benefits and grants administration, financial services, and digital services to accelerate future turnarounds.
Cross-Organizational Synthesis:
- Reach across growth (business development/capture), technology (CTO/engineering), and operations organizations to gather inputs and translate them into a single, coherent customer-facing narrative.
- Act as an honest broker between technical and non-technical contributors, resolving gaps and inconsistencies before content reaches the customer.
- Build and maintain relationships with subject matter experts across the enterprise to know who to call and ...
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Type: Permanent Location: Birmingham, US-AL
Salary / Rate: Not Specified
Posted: 2026-10-09 11:25:04
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Essential Duties and Responsibilities:
- Collaborate with business managers to align HR practices with business objectives, providing tailored HR solutions that drive performance and business growth.
- Support talent management initiatives, including succession planning, management development, and career progression programs to ensure a pipeline of top talent.
- Lead strategic employee engagement initiatives to enhance organizational culture and performance.
- Apply change management theories and models to complex organizational changes.
- Provide coaching and guidance to managers and leaders on effective people management.
- Collaborate with HR leadership to implement organizational development strategies that optimize structure, efficiency, and talent deployment.
- Support the implementation of key HR programs and policies, ensuring alignment with business objectives and compliance with legal requirements.
- Execute on HR and process improvement solutions.
- Partner with key HR stakeholders (talent acquisition, employee relations, total rewards, etc.) to address operational, multi-faceted people challenges.
- Advise the business on key people trends within their business, using provided data analysis, to glean insights and provide solutions.
- Implement compliance efforts related to people, ensuring a consistent approach to governance, ethics and adherence to our business standards and corporate values.
Maximus employees who have completed the required minimum time in role according to the Internal Transfer and Promotion Eligibility Policy are eligible to apply for a posted position, and any exceptions are handled on a case-by-case basis by that specific project.
The time in position rule can be waived for CCO employees under the following circumstances: employees who were in an acting role and have returned to their home base position, employees who are currently in an acting/limited-service role applying to the same role that is RFT, employees who were unable to return to a homebase position at the end of their acting role, or limited-service employees that are unable to secure a lateral or promotional position for continued employment at the end of their limited assignment.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Current Maximus CCO experience is highly preferred.
EEO Statement
Maximus is an equal opportunity employer.
We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.
Pay Transparency
Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including...
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Type: Permanent Location: Riverview, US-FL
Salary / Rate: Not Specified
Posted: 2026-10-09 11:25:00
-
Essential Duties and Responsibilities:
- Design and develop advanced AI software applications, ensuring scalability, performance, and integration with enterprise systems.
- Responsible for developing and modifying systems software (i.e., software for use in operating/controlling hardware and providing a platform for running internal end-user/business applications).
- Develop and communicate descriptive, diagnostic, predictive and prescriptive insights/algorithms.
- Apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis and modeling, using both general purpose software and statistical languages.
- Lead technical implementation efforts in both theoretical and product design environments, translating complex algorithms and specifications into code while mentoring junior engineers and guiding team-level development practices.
Job-Specific Essential Duties and Responsibilities:
- Design, build, ship, and operate production software systems incorporating AI and machine learning capabilities.
- Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.
- Write high-quality software and contribute directly to application code, APIs, services, automated tests, infrastructure, and engineering tooling.
- Build AI-enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.
- Apply strong engineering practices including automated testing, CI/CD, observability, security, resiliency, and performance optimization.
- Evaluate emerging AI technologies through hands-on experimentation and determine where they can provide practical value in production.
- Build reusable components, libraries, patterns, and reference implementations that help other teams deliver better software.
- Mentor other engineers through code reviews, pairing, design discussions, and shared problem solving.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- 7+ years of professional software engineering experience, including substantial experience building and supporting production systems.
- 3+ years of experience with artificial intelligence, machine learning, or related technologies.
- 5+ years of experience designing or building solutions in cloud environments.
- Demonstrated experience owning software through deployment, production operations, troubleshooting, maintenance, and evolution.
- Strong software engineering fundamentals, including system and API design, testing, source control, and secure development.
- Experience designing and implementing systems on AWS, Azure, GCP, or similar cloud platforms.
- Experience with modern software delivery practices including automa...
....Read more...
Type: Permanent Location: Eau Claire, US-WI
Salary / Rate: Not Specified
Posted: 2026-10-09 11:24:55
-
Essential Duties and Responsibilities:
- Design and develop advanced AI software applications, ensuring scalability, performance, and integration with enterprise systems.
- Responsible for developing and modifying systems software (i.e., software for use in operating/controlling hardware and providing a platform for running internal end-user/business applications).
- Develop and communicate descriptive, diagnostic, predictive and prescriptive insights/algorithms.
- Apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis and modeling, using both general purpose software and statistical languages.
- Lead technical implementation efforts in both theoretical and product design environments, translating complex algorithms and specifications into code while mentoring junior engineers and guiding team-level development practices.
Job-Specific Essential Duties and Responsibilities:
- Design, build, ship, and operate production software systems incorporating AI and machine learning capabilities.
- Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.
- Write high-quality software and contribute directly to application code, APIs, services, automated tests, infrastructure, and engineering tooling.
- Build AI-enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.
- Apply strong engineering practices including automated testing, CI/CD, observability, security, resiliency, and performance optimization.
- Evaluate emerging AI technologies through hands-on experimentation and determine where they can provide practical value in production.
- Build reusable components, libraries, patterns, and reference implementations that help other teams deliver better software.
- Mentor other engineers through code reviews, pairing, design discussions, and shared problem solving.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- 7+ years of professional software engineering experience, including substantial experience building and supporting production systems.
- 3+ years of experience with artificial intelligence, machine learning, or related technologies.
- 5+ years of experience designing or building solutions in cloud environments.
- Demonstrated experience owning software through deployment, production operations, troubleshooting, maintenance, and evolution.
- Strong software engineering fundamentals, including system and API design, testing, source control, and secure development.
- Experience designing and implementing systems on AWS, Azure, GCP, or similar cloud platforms.
- Experience with modern software delivery practices including automa...
....Read more...
Type: Permanent Location: Milwaukee, US-WI
Salary / Rate: Not Specified
Posted: 2026-10-09 11:24:51
-
Essential Duties and Responsibilities:
- Design and develop advanced AI software applications, ensuring scalability, performance, and integration with enterprise systems.
- Responsible for developing and modifying systems software (i.e., software for use in operating/controlling hardware and providing a platform for running internal end-user/business applications).
- Develop and communicate descriptive, diagnostic, predictive and prescriptive insights/algorithms.
- Apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis and modeling, using both general purpose software and statistical languages.
- Lead technical implementation efforts in both theoretical and product design environments, translating complex algorithms and specifications into code while mentoring junior engineers and guiding team-level development practices.
Job-Specific Essential Duties and Responsibilities:
- Design, build, ship, and operate production software systems incorporating AI and machine learning capabilities.
- Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.
- Write high-quality software and contribute directly to application code, APIs, services, automated tests, infrastructure, and engineering tooling.
- Build AI-enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.
- Apply strong engineering practices including automated testing, CI/CD, observability, security, resiliency, and performance optimization.
- Evaluate emerging AI technologies through hands-on experimentation and determine where they can provide practical value in production.
- Build reusable components, libraries, patterns, and reference implementations that help other teams deliver better software.
- Mentor other engineers through code reviews, pairing, design discussions, and shared problem solving.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- 7+ years of professional software engineering experience, including substantial experience building and supporting production systems.
- 3+ years of experience with artificial intelligence, machine learning, or related technologies.
- 5+ years of experience designing or building solutions in cloud environments.
- Demonstrated experience owning software through deployment, production operations, troubleshooting, maintenance, and evolution.
- Strong software engineering fundamentals, including system and API design, testing, source control, and secure development.
- Experience designing and implementing systems on AWS, Azure, GCP, or similar cloud platforms.
- Experience with modern software delivery practices including automa...
....Read more...
Type: Permanent Location: Cheyenne, US-WY
Salary / Rate: Not Specified
Posted: 2026-10-09 11:24:48
-
Essential Duties and Responsibilities:
- Design and develop advanced AI software applications, ensuring scalability, performance, and integration with enterprise systems.
- Responsible for developing and modifying systems software (i.e., software for use in operating/controlling hardware and providing a platform for running internal end-user/business applications).
- Develop and communicate descriptive, diagnostic, predictive and prescriptive insights/algorithms.
- Apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis and modeling, using both general purpose software and statistical languages.
- Lead technical implementation efforts in both theoretical and product design environments, translating complex algorithms and specifications into code while mentoring junior engineers and guiding team-level development practices.
Job-Specific Essential Duties and Responsibilities:
- Design, build, ship, and operate production software systems incorporating AI and machine learning capabilities.
- Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.
- Write high-quality software and contribute directly to application code, APIs, services, automated tests, infrastructure, and engineering tooling.
- Build AI-enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.
- Apply strong engineering practices including automated testing, CI/CD, observability, security, resiliency, and performance optimization.
- Evaluate emerging AI technologies through hands-on experimentation and determine where they can provide practical value in production.
- Build reusable components, libraries, patterns, and reference implementations that help other teams deliver better software.
- Mentor other engineers through code reviews, pairing, design discussions, and shared problem solving.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- 7+ years of professional software engineering experience, including substantial experience building and supporting production systems.
- 3+ years of experience with artificial intelligence, machine learning, or related technologies.
- 5+ years of experience designing or building solutions in cloud environments.
- Demonstrated experience owning software through deployment, production operations, troubleshooting, maintenance, and evolution.
- Strong software engineering fundamentals, including system and API design, testing, source control, and secure development.
- Experience designing and implementing systems on AWS, Azure, GCP, or similar cloud platforms.
- Experience with modern software delivery practices including automa...
....Read more...
Type: Permanent Location: Rock Springs, US-WY
Salary / Rate: Not Specified
Posted: 2026-10-09 11:24:47
-
Essential Duties and Responsibilities:
- Design and develop advanced AI software applications, ensuring scalability, performance, and integration with enterprise systems.
- Responsible for developing and modifying systems software (i.e., software for use in operating/controlling hardware and providing a platform for running internal end-user/business applications).
- Develop and communicate descriptive, diagnostic, predictive and prescriptive insights/algorithms.
- Apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis and modeling, using both general purpose software and statistical languages.
- Lead technical implementation efforts in both theoretical and product design environments, translating complex algorithms and specifications into code while mentoring junior engineers and guiding team-level development practices.
Job-Specific Essential Duties and Responsibilities:
- Design, build, ship, and operate production software systems incorporating AI and machine learning capabilities.
- Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.
- Write high-quality software and contribute directly to application code, APIs, services, automated tests, infrastructure, and engineering tooling.
- Build AI-enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.
- Apply strong engineering practices including automated testing, CI/CD, observability, security, resiliency, and performance optimization.
- Evaluate emerging AI technologies through hands-on experimentation and determine where they can provide practical value in production.
- Build reusable components, libraries, patterns, and reference implementations that help other teams deliver better software.
- Mentor other engineers through code reviews, pairing, design discussions, and shared problem solving.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- 7+ years of professional software engineering experience, including substantial experience building and supporting production systems.
- 3+ years of experience with artificial intelligence, machine learning, or related technologies.
- 5+ years of experience designing or building solutions in cloud environments.
- Demonstrated experience owning software through deployment, production operations, troubleshooting, maintenance, and evolution.
- Strong software engineering fundamentals, including system and API design, testing, source control, and secure development.
- Experience designing and implementing systems on AWS, Azure, GCP, or similar cloud platforms.
- Experience with modern software delivery practices including automa...
....Read more...
Type: Permanent Location: Morgantown, US-WV
Salary / Rate: Not Specified
Posted: 2026-10-09 11:24:46
-
Essential Duties and Responsibilities:
- Design and develop advanced AI software applications, ensuring scalability, performance, and integration with enterprise systems.
- Responsible for developing and modifying systems software (i.e., software for use in operating/controlling hardware and providing a platform for running internal end-user/business applications).
- Develop and communicate descriptive, diagnostic, predictive and prescriptive insights/algorithms.
- Apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis and modeling, using both general purpose software and statistical languages.
- Lead technical implementation efforts in both theoretical and product design environments, translating complex algorithms and specifications into code while mentoring junior engineers and guiding team-level development practices.
Job-Specific Essential Duties and Responsibilities:
- Design, build, ship, and operate production software systems incorporating AI and machine learning capabilities.
- Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.
- Write high-quality software and contribute directly to application code, APIs, services, automated tests, infrastructure, and engineering tooling.
- Build AI-enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.
- Apply strong engineering practices including automated testing, CI/CD, observability, security, resiliency, and performance optimization.
- Evaluate emerging AI technologies through hands-on experimentation and determine where they can provide practical value in production.
- Build reusable components, libraries, patterns, and reference implementations that help other teams deliver better software.
- Mentor other engineers through code reviews, pairing, design discussions, and shared problem solving.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- 7+ years of professional software engineering experience, including substantial experience building and supporting production systems.
- 3+ years of experience with artificial intelligence, machine learning, or related technologies.
- 5+ years of experience designing or building solutions in cloud environments.
- Demonstrated experience owning software through deployment, production operations, troubleshooting, maintenance, and evolution.
- Strong software engineering fundamentals, including system and API design, testing, source control, and secure development.
- Experience designing and implementing systems on AWS, Azure, GCP, or similar cloud platforms.
- Experience with modern software delivery practices including automa...
....Read more...
Type: Permanent Location: Roanoke, US-VA
Salary / Rate: Not Specified
Posted: 2026-10-09 11:24:42
-
Essential Duties and Responsibilities:
- Design and develop advanced AI software applications, ensuring scalability, performance, and integration with enterprise systems.
- Responsible for developing and modifying systems software (i.e., software for use in operating/controlling hardware and providing a platform for running internal end-user/business applications).
- Develop and communicate descriptive, diagnostic, predictive and prescriptive insights/algorithms.
- Apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis and modeling, using both general purpose software and statistical languages.
- Lead technical implementation efforts in both theoretical and product design environments, translating complex algorithms and specifications into code while mentoring junior engineers and guiding team-level development practices.
Job-Specific Essential Duties and Responsibilities:
- Design, build, ship, and operate production software systems incorporating AI and machine learning capabilities.
- Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.
- Write high-quality software and contribute directly to application code, APIs, services, automated tests, infrastructure, and engineering tooling.
- Build AI-enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.
- Apply strong engineering practices including automated testing, CI/CD, observability, security, resiliency, and performance optimization.
- Evaluate emerging AI technologies through hands-on experimentation and determine where they can provide practical value in production.
- Build reusable components, libraries, patterns, and reference implementations that help other teams deliver better software.
- Mentor other engineers through code reviews, pairing, design discussions, and shared problem solving.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- 7+ years of professional software engineering experience, including substantial experience building and supporting production systems.
- 3+ years of experience with artificial intelligence, machine learning, or related technologies.
- 5+ years of experience designing or building solutions in cloud environments.
- Demonstrated experience owning software through deployment, production operations, troubleshooting, maintenance, and evolution.
- Strong software engineering fundamentals, including system and API design, testing, source control, and secure development.
- Experience designing and implementing systems on AWS, Azure, GCP, or similar cloud platforms.
- Experience with modern software delivery practices including automa...
....Read more...
Type: Permanent Location: Richmond, US-VA
Salary / Rate: Not Specified
Posted: 2026-10-09 11:24:38
-
Essential Duties and Responsibilities:
- Design and develop advanced AI software applications, ensuring scalability, performance, and integration with enterprise systems.
- Responsible for developing and modifying systems software (i.e., software for use in operating/controlling hardware and providing a platform for running internal end-user/business applications).
- Develop and communicate descriptive, diagnostic, predictive and prescriptive insights/algorithms.
- Apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis and modeling, using both general purpose software and statistical languages.
- Lead technical implementation efforts in both theoretical and product design environments, translating complex algorithms and specifications into code while mentoring junior engineers and guiding team-level development practices.
Job-Specific Essential Duties and Responsibilities:
- Design, build, ship, and operate production software systems incorporating AI and machine learning capabilities.
- Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.
- Write high-quality software and contribute directly to application code, APIs, services, automated tests, infrastructure, and engineering tooling.
- Build AI-enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.
- Apply strong engineering practices including automated testing, CI/CD, observability, security, resiliency, and performance optimization.
- Evaluate emerging AI technologies through hands-on experimentation and determine where they can provide practical value in production.
- Build reusable components, libraries, patterns, and reference implementations that help other teams deliver better software.
- Mentor other engineers through code reviews, pairing, design discussions, and shared problem solving.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- 7+ years of professional software engineering experience, including substantial experience building and supporting production systems.
- 3+ years of experience with artificial intelligence, machine learning, or related technologies.
- 5+ years of experience designing or building solutions in cloud environments.
- Demonstrated experience owning software through deployment, production operations, troubleshooting, maintenance, and evolution.
- Strong software engineering fundamentals, including system and API design, testing, source control, and secure development.
- Experience designing and implementing systems on AWS, Azure, GCP, or similar cloud platforms.
- Experience with modern software delivery practices including automa...
....Read more...
Type: Permanent Location: Spokane, US-WA
Salary / Rate: Not Specified
Posted: 2026-10-09 11:24:35
-
Essential Duties and Responsibilities:
- Design and develop advanced AI software applications, ensuring scalability, performance, and integration with enterprise systems.
- Responsible for developing and modifying systems software (i.e., software for use in operating/controlling hardware and providing a platform for running internal end-user/business applications).
- Develop and communicate descriptive, diagnostic, predictive and prescriptive insights/algorithms.
- Apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis and modeling, using both general purpose software and statistical languages.
- Lead technical implementation efforts in both theoretical and product design environments, translating complex algorithms and specifications into code while mentoring junior engineers and guiding team-level development practices.
Job-Specific Essential Duties and Responsibilities:
- Design, build, ship, and operate production software systems incorporating AI and machine learning capabilities.
- Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.
- Write high-quality software and contribute directly to application code, APIs, services, automated tests, infrastructure, and engineering tooling.
- Build AI-enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.
- Apply strong engineering practices including automated testing, CI/CD, observability, security, resiliency, and performance optimization.
- Evaluate emerging AI technologies through hands-on experimentation and determine where they can provide practical value in production.
- Build reusable components, libraries, patterns, and reference implementations that help other teams deliver better software.
- Mentor other engineers through code reviews, pairing, design discussions, and shared problem solving.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- 7+ years of professional software engineering experience, including substantial experience building and supporting production systems.
- 3+ years of experience with artificial intelligence, machine learning, or related technologies.
- 5+ years of experience designing or building solutions in cloud environments.
- Demonstrated experience owning software through deployment, production operations, troubleshooting, maintenance, and evolution.
- Strong software engineering fundamentals, including system and API design, testing, source control, and secure development.
- Experience designing and implementing systems on AWS, Azure, GCP, or similar cloud platforms.
- Experience with modern software delivery practices including automa...
....Read more...
Type: Permanent Location: Charleston, US-WV
Salary / Rate: Not Specified
Posted: 2026-10-09 11:24:32
-
Essential Duties and Responsibilities:
- Design and develop advanced AI software applications, ensuring scalability, performance, and integration with enterprise systems.
- Responsible for developing and modifying systems software (i.e., software for use in operating/controlling hardware and providing a platform for running internal end-user/business applications).
- Develop and communicate descriptive, diagnostic, predictive and prescriptive insights/algorithms.
- Apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis and modeling, using both general purpose software and statistical languages.
- Lead technical implementation efforts in both theoretical and product design environments, translating complex algorithms and specifications into code while mentoring junior engineers and guiding team-level development practices.
Job-Specific Essential Duties and Responsibilities:
- Design, build, ship, and operate production software systems incorporating AI and machine learning capabilities.
- Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.
- Write high-quality software and contribute directly to application code, APIs, services, automated tests, infrastructure, and engineering tooling.
- Build AI-enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.
- Apply strong engineering practices including automated testing, CI/CD, observability, security, resiliency, and performance optimization.
- Evaluate emerging AI technologies through hands-on experimentation and determine where they can provide practical value in production.
- Build reusable components, libraries, patterns, and reference implementations that help other teams deliver better software.
- Mentor other engineers through code reviews, pairing, design discussions, and shared problem solving.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- 7+ years of professional software engineering experience, including substantial experience building and supporting production systems.
- 3+ years of experience with artificial intelligence, machine learning, or related technologies.
- 5+ years of experience designing or building solutions in cloud environments.
- Demonstrated experience owning software through deployment, production operations, troubleshooting, maintenance, and evolution.
- Strong software engineering fundamentals, including system and API design, testing, source control, and secure development.
- Experience designing and implementing systems on AWS, Azure, GCP, or similar cloud platforms.
- Experience with modern software delivery practices including automa...
....Read more...
Type: Permanent Location: Seattle, US-WA
Salary / Rate: Not Specified
Posted: 2026-10-09 11:24:27
-
Essential Duties and Responsibilities:
- Design and develop advanced AI software applications, ensuring scalability, performance, and integration with enterprise systems.
- Responsible for developing and modifying systems software (i.e., software for use in operating/controlling hardware and providing a platform for running internal end-user/business applications).
- Develop and communicate descriptive, diagnostic, predictive and prescriptive insights/algorithms.
- Apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis and modeling, using both general purpose software and statistical languages.
- Lead technical implementation efforts in both theoretical and product design environments, translating complex algorithms and specifications into code while mentoring junior engineers and guiding team-level development practices.
Job-Specific Essential Duties and Responsibilities:
- Design, build, ship, and operate production software systems incorporating AI and machine learning capabilities.
- Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.
- Write high-quality software and contribute directly to application code, APIs, services, automated tests, infrastructure, and engineering tooling.
- Build AI-enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.
- Apply strong engineering practices including automated testing, CI/CD, observability, security, resiliency, and performance optimization.
- Evaluate emerging AI technologies through hands-on experimentation and determine where they can provide practical value in production.
- Build reusable components, libraries, patterns, and reference implementations that help other teams deliver better software.
- Mentor other engineers through code reviews, pairing, design discussions, and shared problem solving.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- 7+ years of professional software engineering experience, including substantial experience building and supporting production systems.
- 3+ years of experience with artificial intelligence, machine learning, or related technologies.
- 5+ years of experience designing or building solutions in cloud environments.
- Demonstrated experience owning software through deployment, production operations, troubleshooting, maintenance, and evolution.
- Strong software engineering fundamentals, including system and API design, testing, source control, and secure development.
- Experience designing and implementing systems on AWS, Azure, GCP, or similar cloud platforms.
- Experience with modern software delivery practices including automa...
....Read more...
Type: Permanent Location: Bennington, US-VT
Salary / Rate: Not Specified
Posted: 2026-10-09 11:24:23
-
Essential Duties and Responsibilities:
- Design and develop advanced AI software applications, ensuring scalability, performance, and integration with enterprise systems.
- Responsible for developing and modifying systems software (i.e., software for use in operating/controlling hardware and providing a platform for running internal end-user/business applications).
- Develop and communicate descriptive, diagnostic, predictive and prescriptive insights/algorithms.
- Apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis and modeling, using both general purpose software and statistical languages.
- Lead technical implementation efforts in both theoretical and product design environments, translating complex algorithms and specifications into code while mentoring junior engineers and guiding team-level development practices.
Job-Specific Essential Duties and Responsibilities:
- Design, build, ship, and operate production software systems incorporating AI and machine learning capabilities.
- Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.
- Write high-quality software and contribute directly to application code, APIs, services, automated tests, infrastructure, and engineering tooling.
- Build AI-enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.
- Apply strong engineering practices including automated testing, CI/CD, observability, security, resiliency, and performance optimization.
- Evaluate emerging AI technologies through hands-on experimentation and determine where they can provide practical value in production.
- Build reusable components, libraries, patterns, and reference implementations that help other teams deliver better software.
- Mentor other engineers through code reviews, pairing, design discussions, and shared problem solving.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- 7+ years of professional software engineering experience, including substantial experience building and supporting production systems.
- 3+ years of experience with artificial intelligence, machine learning, or related technologies.
- 5+ years of experience designing or building solutions in cloud environments.
- Demonstrated experience owning software through deployment, production operations, troubleshooting, maintenance, and evolution.
- Strong software engineering fundamentals, including system and API design, testing, source control, and secure development.
- Experience designing and implementing systems on AWS, Azure, GCP, or similar cloud platforms.
- Experience with modern software delivery practices including automa...
....Read more...
Type: Permanent Location: Tysons, US-VA
Salary / Rate: Not Specified
Posted: 2026-10-09 11:24:20
-
Essential Duties and Responsibilities:
- Design and develop advanced AI software applications, ensuring scalability, performance, and integration with enterprise systems.
- Responsible for developing and modifying systems software (i.e., software for use in operating/controlling hardware and providing a platform for running internal end-user/business applications).
- Develop and communicate descriptive, diagnostic, predictive and prescriptive insights/algorithms.
- Apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis and modeling, using both general purpose software and statistical languages.
- Lead technical implementation efforts in both theoretical and product design environments, translating complex algorithms and specifications into code while mentoring junior engineers and guiding team-level development practices.
Job-Specific Essential Duties and Responsibilities:
- Design, build, ship, and operate production software systems incorporating AI and machine learning capabilities.
- Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.
- Write high-quality software and contribute directly to application code, APIs, services, automated tests, infrastructure, and engineering tooling.
- Build AI-enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.
- Apply strong engineering practices including automated testing, CI/CD, observability, security, resiliency, and performance optimization.
- Evaluate emerging AI technologies through hands-on experimentation and determine where they can provide practical value in production.
- Build reusable components, libraries, patterns, and reference implementations that help other teams deliver better software.
- Mentor other engineers through code reviews, pairing, design discussions, and shared problem solving.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- 7+ years of professional software engineering experience, including substantial experience building and supporting production systems.
- 3+ years of experience with artificial intelligence, machine learning, or related technologies.
- 5+ years of experience designing or building solutions in cloud environments.
- Demonstrated experience owning software through deployment, production operations, troubleshooting, maintenance, and evolution.
- Strong software engineering fundamentals, including system and API design, testing, source control, and secure development.
- Experience designing and implementing systems on AWS, Azure, GCP, or similar cloud platforms.
- Experience with modern software delivery practices including automa...
....Read more...
Type: Permanent Location: St. George, US-UT
Salary / Rate: Not Specified
Posted: 2026-10-09 11:24:15
-
Essential Duties and Responsibilities:
- Design and develop advanced AI software applications, ensuring scalability, performance, and integration with enterprise systems.
- Responsible for developing and modifying systems software (i.e., software for use in operating/controlling hardware and providing a platform for running internal end-user/business applications).
- Develop and communicate descriptive, diagnostic, predictive and prescriptive insights/algorithms.
- Apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis and modeling, using both general purpose software and statistical languages.
- Lead technical implementation efforts in both theoretical and product design environments, translating complex algorithms and specifications into code while mentoring junior engineers and guiding team-level development practices.
Job-Specific Essential Duties and Responsibilities:
- Design, build, ship, and operate production software systems incorporating AI and machine learning capabilities.
- Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.
- Write high-quality software and contribute directly to application code, APIs, services, automated tests, infrastructure, and engineering tooling.
- Build AI-enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.
- Apply strong engineering practices including automated testing, CI/CD, observability, security, resiliency, and performance optimization.
- Evaluate emerging AI technologies through hands-on experimentation and determine where they can provide practical value in production.
- Build reusable components, libraries, patterns, and reference implementations that help other teams deliver better software.
- Mentor other engineers through code reviews, pairing, design discussions, and shared problem solving.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- 7+ years of professional software engineering experience, including substantial experience building and supporting production systems.
- 3+ years of experience with artificial intelligence, machine learning, or related technologies.
- 5+ years of experience designing or building solutions in cloud environments.
- Demonstrated experience owning software through deployment, production operations, troubleshooting, maintenance, and evolution.
- Strong software engineering fundamentals, including system and API design, testing, source control, and secure development.
- Experience designing and implementing systems on AWS, Azure, GCP, or similar cloud platforms.
- Experience with modern software delivery practices including automa...
....Read more...
Type: Permanent Location: Salt Lake City, US-UT
Salary / Rate: Not Specified
Posted: 2026-10-09 11:24:11
-
Essential Duties and Responsibilities:
- Design and develop advanced AI software applications, ensuring scalability, performance, and integration with enterprise systems.
- Responsible for developing and modifying systems software (i.e., software for use in operating/controlling hardware and providing a platform for running internal end-user/business applications).
- Develop and communicate descriptive, diagnostic, predictive and prescriptive insights/algorithms.
- Apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis and modeling, using both general purpose software and statistical languages.
- Lead technical implementation efforts in both theoretical and product design environments, translating complex algorithms and specifications into code while mentoring junior engineers and guiding team-level development practices.
Job-Specific Essential Duties and Responsibilities:
- Design, build, ship, and operate production software systems incorporating AI and machine learning capabilities.
- Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.
- Write high-quality software and contribute directly to application code, APIs, services, automated tests, infrastructure, and engineering tooling.
- Build AI-enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.
- Apply strong engineering practices including automated testing, CI/CD, observability, security, resiliency, and performance optimization.
- Evaluate emerging AI technologies through hands-on experimentation and determine where they can provide practical value in production.
- Build reusable components, libraries, patterns, and reference implementations that help other teams deliver better software.
- Mentor other engineers through code reviews, pairing, design discussions, and shared problem solving.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- 7+ years of professional software engineering experience, including substantial experience building and supporting production systems.
- 3+ years of experience with artificial intelligence, machine learning, or related technologies.
- 5+ years of experience designing or building solutions in cloud environments.
- Demonstrated experience owning software through deployment, production operations, troubleshooting, maintenance, and evolution.
- Strong software engineering fundamentals, including system and API design, testing, source control, and secure development.
- Experience designing and implementing systems on AWS, Azure, GCP, or similar cloud platforms.
- Experience with modern software delivery practices including automa...
....Read more...
Type: Permanent Location: Nashville, US-TN
Salary / Rate: Not Specified
Posted: 2026-10-09 11:24:07
-
Essential Duties and Responsibilities:
- Design and develop advanced AI software applications, ensuring scalability, performance, and integration with enterprise systems.
- Responsible for developing and modifying systems software (i.e., software for use in operating/controlling hardware and providing a platform for running internal end-user/business applications).
- Develop and communicate descriptive, diagnostic, predictive and prescriptive insights/algorithms.
- Apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis and modeling, using both general purpose software and statistical languages.
- Lead technical implementation efforts in both theoretical and product design environments, translating complex algorithms and specifications into code while mentoring junior engineers and guiding team-level development practices.
Job-Specific Essential Duties and Responsibilities:
- Design, build, ship, and operate production software systems incorporating AI and machine learning capabilities.
- Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.
- Write high-quality software and contribute directly to application code, APIs, services, automated tests, infrastructure, and engineering tooling.
- Build AI-enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.
- Apply strong engineering practices including automated testing, CI/CD, observability, security, resiliency, and performance optimization.
- Evaluate emerging AI technologies through hands-on experimentation and determine where they can provide practical value in production.
- Build reusable components, libraries, patterns, and reference implementations that help other teams deliver better software.
- Mentor other engineers through code reviews, pairing, design discussions, and shared problem solving.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- 7+ years of professional software engineering experience, including substantial experience building and supporting production systems.
- 3+ years of experience with artificial intelligence, machine learning, or related technologies.
- 5+ years of experience designing or building solutions in cloud environments.
- Demonstrated experience owning software through deployment, production operations, troubleshooting, maintenance, and evolution.
- Strong software engineering fundamentals, including system and API design, testing, source control, and secure development.
- Experience designing and implementing systems on AWS, Azure, GCP, or similar cloud platforms.
- Experience with modern software delivery practices including automa...
....Read more...
Type: Permanent Location: Burlington, US-VT
Salary / Rate: Not Specified
Posted: 2026-10-09 11:24:07
-
Essential Duties and Responsibilities:
- Design and develop advanced AI software applications, ensuring scalability, performance, and integration with enterprise systems.
- Responsible for developing and modifying systems software (i.e., software for use in operating/controlling hardware and providing a platform for running internal end-user/business applications).
- Develop and communicate descriptive, diagnostic, predictive and prescriptive insights/algorithms.
- Apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis and modeling, using both general purpose software and statistical languages.
- Lead technical implementation efforts in both theoretical and product design environments, translating complex algorithms and specifications into code while mentoring junior engineers and guiding team-level development practices.
Job-Specific Essential Duties and Responsibilities:
- Design, build, ship, and operate production software systems incorporating AI and machine learning capabilities.
- Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.
- Write high-quality software and contribute directly to application code, APIs, services, automated tests, infrastructure, and engineering tooling.
- Build AI-enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.
- Apply strong engineering practices including automated testing, CI/CD, observability, security, resiliency, and performance optimization.
- Evaluate emerging AI technologies through hands-on experimentation and determine where they can provide practical value in production.
- Build reusable components, libraries, patterns, and reference implementations that help other teams deliver better software.
- Mentor other engineers through code reviews, pairing, design discussions, and shared problem solving.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- 7+ years of professional software engineering experience, including substantial experience building and supporting production systems.
- 3+ years of experience with artificial intelligence, machine learning, or related technologies.
- 5+ years of experience designing or building solutions in cloud environments.
- Demonstrated experience owning software through deployment, production operations, troubleshooting, maintenance, and evolution.
- Strong software engineering fundamentals, including system and API design, testing, source control, and secure development.
- Experience designing and implementing systems on AWS, Azure, GCP, or similar cloud platforms.
- Experience with modern software delivery practices including automa...
....Read more...
Type: Permanent Location: Memphis, US-TN
Salary / Rate: Not Specified
Posted: 2026-10-09 11:24:06
-
Essential Duties and Responsibilities:
- Design and develop advanced AI software applications, ensuring scalability, performance, and integration with enterprise systems.
- Responsible for developing and modifying systems software (i.e., software for use in operating/controlling hardware and providing a platform for running internal end-user/business applications).
- Develop and communicate descriptive, diagnostic, predictive and prescriptive insights/algorithms.
- Apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis and modeling, using both general purpose software and statistical languages.
- Lead technical implementation efforts in both theoretical and product design environments, translating complex algorithms and specifications into code while mentoring junior engineers and guiding team-level development practices.
Job-Specific Essential Duties and Responsibilities:
- Design, build, ship, and operate production software systems incorporating AI and machine learning capabilities.
- Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.
- Write high-quality software and contribute directly to application code, APIs, services, automated tests, infrastructure, and engineering tooling.
- Build AI-enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.
- Apply strong engineering practices including automated testing, CI/CD, observability, security, resiliency, and performance optimization.
- Evaluate emerging AI technologies through hands-on experimentation and determine where they can provide practical value in production.
- Build reusable components, libraries, patterns, and reference implementations that help other teams deliver better software.
- Mentor other engineers through code reviews, pairing, design discussions, and shared problem solving.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- 7+ years of professional software engineering experience, including substantial experience building and supporting production systems.
- 3+ years of experience with artificial intelligence, machine learning, or related technologies.
- 5+ years of experience designing or building solutions in cloud environments.
- Demonstrated experience owning software through deployment, production operations, troubleshooting, maintenance, and evolution.
- Strong software engineering fundamentals, including system and API design, testing, source control, and secure development.
- Experience designing and implementing systems on AWS, Azure, GCP, or similar cloud platforms.
- Experience with modern software delivery practices including automa...
....Read more...
Type: Permanent Location: Lubbock, US-TX
Salary / Rate: Not Specified
Posted: 2026-10-09 11:24:05
-
Essential Duties and Responsibilities:
- Design and develop advanced AI software applications, ensuring scalability, performance, and integration with enterprise systems.
- Responsible for developing and modifying systems software (i.e., software for use in operating/controlling hardware and providing a platform for running internal end-user/business applications).
- Develop and communicate descriptive, diagnostic, predictive and prescriptive insights/algorithms.
- Apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis and modeling, using both general purpose software and statistical languages.
- Lead technical implementation efforts in both theoretical and product design environments, translating complex algorithms and specifications into code while mentoring junior engineers and guiding team-level development practices.
Job-Specific Essential Duties and Responsibilities:
- Design, build, ship, and operate production software systems incorporating AI and machine learning capabilities.
- Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.
- Write high-quality software and contribute directly to application code, APIs, services, automated tests, infrastructure, and engineering tooling.
- Build AI-enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.
- Apply strong engineering practices including automated testing, CI/CD, observability, security, resiliency, and performance optimization.
- Evaluate emerging AI technologies through hands-on experimentation and determine where they can provide practical value in production.
- Build reusable components, libraries, patterns, and reference implementations that help other teams deliver better software.
- Mentor other engineers through code reviews, pairing, design discussions, and shared problem solving.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- 7+ years of professional software engineering experience, including substantial experience building and supporting production systems.
- 3+ years of experience with artificial intelligence, machine learning, or related technologies.
- 5+ years of experience designing or building solutions in cloud environments.
- Demonstrated experience owning software through deployment, production operations, troubleshooting, maintenance, and evolution.
- Strong software engineering fundamentals, including system and API design, testing, source control, and secure development.
- Experience designing and implementing systems on AWS, Azure, GCP, or similar cloud platforms.
- Experience with modern software delivery practices including automa...
....Read more...
Type: Permanent Location: San Antonio, US-TX
Salary / Rate: Not Specified
Posted: 2026-10-09 11:24:05
-
Essential Duties and Responsibilities:
- Design and develop advanced AI software applications, ensuring scalability, performance, and integration with enterprise systems.
- Responsible for developing and modifying systems software (i.e., software for use in operating/controlling hardware and providing a platform for running internal end-user/business applications).
- Develop and communicate descriptive, diagnostic, predictive and prescriptive insights/algorithms.
- Apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis and modeling, using both general purpose software and statistical languages.
- Lead technical implementation efforts in both theoretical and product design environments, translating complex algorithms and specifications into code while mentoring junior engineers and guiding team-level development practices.
Job-Specific Essential Duties and Responsibilities:
- Design, build, ship, and operate production software systems incorporating AI and machine learning capabilities.
- Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.
- Write high-quality software and contribute directly to application code, APIs, services, automated tests, infrastructure, and engineering tooling.
- Build AI-enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.
- Apply strong engineering practices including automated testing, CI/CD, observability, security, resiliency, and performance optimization.
- Evaluate emerging AI technologies through hands-on experimentation and determine where they can provide practical value in production.
- Build reusable components, libraries, patterns, and reference implementations that help other teams deliver better software.
- Mentor other engineers through code reviews, pairing, design discussions, and shared problem solving.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- 7+ years of professional software engineering experience, including substantial experience building and supporting production systems.
- 3+ years of experience with artificial intelligence, machine learning, or related technologies.
- 5+ years of experience designing or building solutions in cloud environments.
- Demonstrated experience owning software through deployment, production operations, troubleshooting, maintenance, and evolution.
- Strong software engineering fundamentals, including system and API design, testing, source control, and secure development.
- Experience designing and implementing systems on AWS, Azure, GCP, or similar cloud platforms.
- Experience with modern software delivery practices including automa...
....Read more...
Type: Permanent Location: Dallas, US-TX
Salary / Rate: Not Specified
Posted: 2026-10-09 11:24:00
-
Essential Duties and Responsibilities:
- Design and develop advanced AI software applications, ensuring scalability, performance, and integration with enterprise systems.
- Responsible for developing and modifying systems software (i.e., software for use in operating/controlling hardware and providing a platform for running internal end-user/business applications).
- Develop and communicate descriptive, diagnostic, predictive and prescriptive insights/algorithms.
- Apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis and modeling, using both general purpose software and statistical languages.
- Lead technical implementation efforts in both theoretical and product design environments, translating complex algorithms and specifications into code while mentoring junior engineers and guiding team-level development practices.
Job-Specific Essential Duties and Responsibilities:
- Design, build, ship, and operate production software systems incorporating AI and machine learning capabilities.
- Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.
- Write high-quality software and contribute directly to application code, APIs, services, automated tests, infrastructure, and engineering tooling.
- Build AI-enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.
- Apply strong engineering practices including automated testing, CI/CD, observability, security, resiliency, and performance optimization.
- Evaluate emerging AI technologies through hands-on experimentation and determine where they can provide practical value in production.
- Build reusable components, libraries, patterns, and reference implementations that help other teams deliver better software.
- Mentor other engineers through code reviews, pairing, design discussions, and shared problem solving.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- 7+ years of professional software engineering experience, including substantial experience building and supporting production systems.
- 3+ years of experience with artificial intelligence, machine learning, or related technologies.
- 5+ years of experience designing or building solutions in cloud environments.
- Demonstrated experience owning software through deployment, production operations, troubleshooting, maintenance, and evolution.
- Strong software engineering fundamentals, including system and API design, testing, source control, and secure development.
- Experience designing and implementing systems on AWS, Azure, GCP, or similar cloud platforms.
- Experience with modern software delivery practices including automa...
....Read more...
Type: Permanent Location: Houston, US-TX
Salary / Rate: Not Specified
Posted: 2026-10-09 11:23:56
-
Essential Duties and Responsibilities:
- Design and develop advanced AI software applications, ensuring scalability, performance, and integration with enterprise systems.
- Responsible for developing and modifying systems software (i.e., software for use in operating/controlling hardware and providing a platform for running internal end-user/business applications).
- Develop and communicate descriptive, diagnostic, predictive and prescriptive insights/algorithms.
- Apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis and modeling, using both general purpose software and statistical languages.
- Lead technical implementation efforts in both theoretical and product design environments, translating complex algorithms and specifications into code while mentoring junior engineers and guiding team-level development practices.
Job-Specific Essential Duties and Responsibilities:
- Design, build, ship, and operate production software systems incorporating AI and machine learning capabilities.
- Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.
- Write high-quality software and contribute directly to application code, APIs, services, automated tests, infrastructure, and engineering tooling.
- Build AI-enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.
- Apply strong engineering practices including automated testing, CI/CD, observability, security, resiliency, and performance optimization.
- Evaluate emerging AI technologies through hands-on experimentation and determine where they can provide practical value in production.
- Build reusable components, libraries, patterns, and reference implementations that help other teams deliver better software.
- Mentor other engineers through code reviews, pairing, design discussions, and shared problem solving.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- 7+ years of professional software engineering experience, including substantial experience building and supporting production systems.
- 3+ years of experience with artificial intelligence, machine learning, or related technologies.
- 5+ years of experience designing or building solutions in cloud environments.
- Demonstrated experience owning software through deployment, production operations, troubleshooting, maintenance, and evolution.
- Strong software engineering fundamentals, including system and API design, testing, source control, and secure development.
- Experience designing and implementing systems on AWS, Azure, GCP, or similar cloud platforms.
- Experience with modern software delivery practices including automa...
....Read more...
Type: Permanent Location: Providence, US-RI
Salary / Rate: Not Specified
Posted: 2026-10-09 11:23:54
-
Essential Duties and Responsibilities:
- Design and develop advanced AI software applications, ensuring scalability, performance, and integration with enterprise systems.
- Responsible for developing and modifying systems software (i.e., software for use in operating/controlling hardware and providing a platform for running internal end-user/business applications).
- Develop and communicate descriptive, diagnostic, predictive and prescriptive insights/algorithms.
- Apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis and modeling, using both general purpose software and statistical languages.
- Lead technical implementation efforts in both theoretical and product design environments, translating complex algorithms and specifications into code while mentoring junior engineers and guiding team-level development practices.
Job-Specific Essential Duties and Responsibilities:
- Design, build, ship, and operate production software systems incorporating AI and machine learning capabilities.
- Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.
- Write high-quality software and contribute directly to application code, APIs, services, automated tests, infrastructure, and engineering tooling.
- Build AI-enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.
- Apply strong engineering practices including automated testing, CI/CD, observability, security, resiliency, and performance optimization.
- Evaluate emerging AI technologies through hands-on experimentation and determine where they can provide practical value in production.
- Build reusable components, libraries, patterns, and reference implementations that help other teams deliver better software.
- Mentor other engineers through code reviews, pairing, design discussions, and shared problem solving.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- 7+ years of professional software engineering experience, including substantial experience building and supporting production systems.
- 3+ years of experience with artificial intelligence, machine learning, or related technologies.
- 5+ years of experience designing or building solutions in cloud environments.
- Demonstrated experience owning software through deployment, production operations, troubleshooting, maintenance, and evolution.
- Strong software engineering fundamentals, including system and API design, testing, source control, and secure development.
- Experience designing and implementing systems on AWS, Azure, GCP, or similar cloud platforms.
- Experience with modern software delivery practices including automa...
....Read more...
Type: Permanent Location: Newport, US-RI
Salary / Rate: Not Specified
Posted: 2026-10-09 11:23:49
