-
Essential Duties and Responsibilities:
- Design and develop specific solutions leveraging technologies and design practices that enable a scalable, extensible and flexible solution.
- Develop and provide presentations and demonstrations of technology solutions to both internal and external stakeholders as needed.
- Extend and partner with internal/external resources to identify and contribute to continuous improvements of open source projects across multiple open source technologies/projects.
- Engage with internal teams to understand and architect technical solutions, facilitate solutions design and manage implementations.
- Collaborate with delivery teams to ensure solutions can be effectively implemented by operations teams.
- Mentor Solution Architects and integrate contributions across the team.
Provide guidance, coaching, and training to technical employees across the company.
- Interface with pricing and delivery teams to ensure solution viability and cost realism.
- Lead major solution components or technical volumes as part of a capture team.
- Translate client requirements into viable solution elements and architecture views.
- Lead large complex initiatives of strategic importance to the organization, which involve large cross-functional teams.
- 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.
- Review, guide and support RFIs, RFPs and RFQs, response development including writing of whitepapers and concept development.
- Provide technical solution support during proposal process, to include technology stack, solution architecture, and implementation methodology.
Job-Specific Essential Duties and Responsibilities:
Solution Leadership & Strategy:
- Lead solution design and strategy for large, complex government pursuits.
- Define and oversee technical win themes, discriminators, and innovation differentiators.
- Collaborate with capture managers and business development teams to shape opportunities pre-RFP through deep, meaningful and direct engagement with customers.
- Own technical volume development and ensure differentiation and cohesive integration with cost, management, and past performance volumes.
- Facilitate and lead solution reviews with executives and subject matter experts.
- Lead large, complex initiatives of strategic importance involving cross-functional teams.
Contact Center Solution Architecture:
- Lead the end-to-end design of cloud, on-premises, and hybrid contact center solutions for large government programs.
- Translate customer e...
....Read more...
Type: Permanent Location: Phoenix, US-AZ
Salary / Rate: Not Specified
Posted: 2026-10-06 11:07:07
-
Essential Duties and Responsibilities:
- Design and develop specific solutions leveraging technologies and design practices that enable a scalable, extensible and flexible solution.
- Develop and provide presentations and demonstrations of technology solutions to both internal and external stakeholders as needed.
- Extend and partner with internal/external resources to identify and contribute to continuous improvements of open source projects across multiple open source technologies/projects.
- Engage with internal teams to understand and architect technical solutions, facilitate solutions design and manage implementations.
- Collaborate with delivery teams to ensure solutions can be effectively implemented by operations teams.
- Mentor Solution Architects and integrate contributions across the team.
Provide guidance, coaching, and training to technical employees across the company.
- Interface with pricing and delivery teams to ensure solution viability and cost realism.
- Lead major solution components or technical volumes as part of a capture team.
- Translate client requirements into viable solution elements and architecture views.
- Lead large complex initiatives of strategic importance to the organization, which involve large cross-functional teams.
- 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.
- Review, guide and support RFIs, RFPs and RFQs, response development including writing of whitepapers and concept development.
- Provide technical solution support during proposal process, to include technology stack, solution architecture, and implementation methodology.
Job-Specific Essential Duties and Responsibilities:
Solution Leadership & Strategy:
- Lead solution design and strategy for large, complex government pursuits.
- Define and oversee technical win themes, discriminators, and innovation differentiators.
- Collaborate with capture managers and business development teams to shape opportunities pre-RFP through deep, meaningful and direct engagement with customers.
- Own technical volume development and ensure differentiation and cohesive integration with cost, management, and past performance volumes.
- Facilitate and lead solution reviews with executives and subject matter experts.
- Lead large, complex initiatives of strategic importance involving cross-functional teams.
Contact Center Solution Architecture:
- Lead the end-to-end design of cloud, on-premises, and hybrid contact center solutions for large government programs.
- Translate customer e...
....Read more...
Type: Permanent Location: Los Angeles, US-CA
Salary / Rate: Not Specified
Posted: 2026-10-06 11:07:02
-
Essential Duties and Responsibilities:
- Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions.
- Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
- Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
- Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.
Job-Specific Essential Duties and Responsibilities:
- Design, build, and improve production AI solutions.
- Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.
- Write high-quality software and contribute directly to custom enterprise capabilities.
- Build AI-enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.
- Improve AI solutions by incorporating holistic algorithmic improvements.
- 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 enable other teams to deliver AI-based capabilities.
- Mentor other staff through solutioning of custom algorithms and solution enhancements.
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:
- Bachelor's degree in a relevant field of study and 10+ years of relevant professional experience required.
- 7+ years of professional advanced algorithm building and data science experience, including substantial experience building and supporting production algorithms on systems processing real data.
- 7+ years of professional Data Science or advanced algorithm building experience.
- 5+ years of experience designing or building solutions in cloud environments.
- 3+ years of experience with artificial intelligence, machine learning, or related technologies.
- Demonstrated experience developing algorithms including AI and machine learning algorithms.
- Stro...
....Read more...
Type: Permanent Location: Rock Springs, US-WY
Salary / Rate: Not Specified
Posted: 2026-10-06 11:06:59
-
Essential Duties and Responsibilities:
- Design and develop specific solutions leveraging technologies and design practices that enable a scalable, extensible and flexible solution.
- Develop and provide presentations and demonstrations of technology solutions to both internal and external stakeholders as needed.
- Extend and partner with internal/external resources to identify and contribute to continuous improvements of open source projects across multiple open source technologies/projects.
- Engage with internal teams to understand and architect technical solutions, facilitate solutions design and manage implementations.
- Collaborate with delivery teams to ensure solutions can be effectively implemented by operations teams.
- Mentor Solution Architects and integrate contributions across the team.
Provide guidance, coaching, and training to technical employees across the company.
- Interface with pricing and delivery teams to ensure solution viability and cost realism.
- Lead major solution components or technical volumes as part of a capture team.
- Translate client requirements into viable solution elements and architecture views.
- Lead large complex initiatives of strategic importance to the organization, which involve large cross-functional teams.
- 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.
- Review, guide and support RFIs, RFPs and RFQs, response development including writing of whitepapers and concept development.
- Provide technical solution support during proposal process, to include technology stack, solution architecture, and implementation methodology.
Job-Specific Essential Duties and Responsibilities:
Solution Leadership & Strategy:
- Lead solution design and strategy for large, complex government pursuits.
- Define and oversee technical win themes, discriminators, and innovation differentiators.
- Collaborate with capture managers and business development teams to shape opportunities pre-RFP through deep, meaningful and direct engagement with customers.
- Own technical volume development and ensure differentiation and cohesive integration with cost, management, and past performance volumes.
- Facilitate and lead solution reviews with executives and subject matter experts.
- Lead large, complex initiatives of strategic importance involving cross-functional teams.
Contact Center Solution Architecture:
- Lead the end-to-end design of cloud, on-premises, and hybrid contact center solutions for large government programs.
- Translate customer e...
....Read more...
Type: Permanent Location: Birmingham, US-AL
Salary / Rate: Not Specified
Posted: 2026-10-06 11:06:58
-
Essential Duties and Responsibilities:
- Design and develop specific solutions leveraging technologies and design practices that enable a scalable, extensible and flexible solution.
- Develop and provide presentations and demonstrations of technology solutions to both internal and external stakeholders as needed.
- Extend and partner with internal/external resources to identify and contribute to continuous improvements of open source projects across multiple open source technologies/projects.
- Engage with internal teams to understand and architect technical solutions, facilitate solutions design and manage implementations.
- Collaborate with delivery teams to ensure solutions can be effectively implemented by operations teams.
- Mentor Solution Architects and integrate contributions across the team.
Provide guidance, coaching, and training to technical employees across the company.
- Interface with pricing and delivery teams to ensure solution viability and cost realism.
- Lead major solution components or technical volumes as part of a capture team.
- Translate client requirements into viable solution elements and architecture views.
- Lead large complex initiatives of strategic importance to the organization, which involve large cross-functional teams.
- 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.
- Review, guide and support RFIs, RFPs and RFQs, response development including writing of whitepapers and concept development.
- Provide technical solution support during proposal process, to include technology stack, solution architecture, and implementation methodology.
Job-Specific Essential Duties and Responsibilities:
Solution Leadership & Strategy:
- Lead solution design and strategy for large, complex government pursuits.
- Define and oversee technical win themes, discriminators, and innovation differentiators.
- Collaborate with capture managers and business development teams to shape opportunities pre-RFP through deep, meaningful and direct engagement with customers.
- Own technical volume development and ensure differentiation and cohesive integration with cost, management, and past performance volumes.
- Facilitate and lead solution reviews with executives and subject matter experts.
- Lead large, complex initiatives of strategic importance involving cross-functional teams.
Contact Center Solution Architecture:
- Lead the end-to-end design of cloud, on-premises, and hybrid contact center solutions for large government programs.
- Translate customer e...
....Read more...
Type: Permanent Location: Mobile, US-AL
Salary / Rate: Not Specified
Posted: 2026-10-06 11:06:57
-
Essential Duties and Responsibilities:
- Design and develop specific solutions leveraging technologies and design practices that enable a scalable, extensible and flexible solution.
- Develop and provide presentations and demonstrations of technology solutions to both internal and external stakeholders as needed.
- Extend and partner with internal/external resources to identify and contribute to continuous improvements of open source projects across multiple open source technologies/projects.
- Engage with internal teams to understand and architect technical solutions, facilitate solutions design and manage implementations.
- Collaborate with delivery teams to ensure solutions can be effectively implemented by operations teams.
- Mentor Solution Architects and integrate contributions across the team.
Provide guidance, coaching, and training to technical employees across the company.
- Interface with pricing and delivery teams to ensure solution viability and cost realism.
- Lead major solution components or technical volumes as part of a capture team.
- Translate client requirements into viable solution elements and architecture views.
- Lead large complex initiatives of strategic importance to the organization, which involve large cross-functional teams.
- 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.
- Review, guide and support RFIs, RFPs and RFQs, response development including writing of whitepapers and concept development.
- Provide technical solution support during proposal process, to include technology stack, solution architecture, and implementation methodology.
Job-Specific Essential Duties and Responsibilities:
Solution Leadership & Strategy:
- Lead solution design and strategy for large, complex government pursuits.
- Define and oversee technical win themes, discriminators, and innovation differentiators.
- Collaborate with capture managers and business development teams to shape opportunities pre-RFP through deep, meaningful and direct engagement with customers.
- Own technical volume development and ensure differentiation and cohesive integration with cost, management, and past performance volumes.
- Facilitate and lead solution reviews with executives and subject matter experts.
- Lead large, complex initiatives of strategic importance involving cross-functional teams.
Contact Center Solution Architecture:
- Lead the end-to-end design of cloud, on-premises, and hybrid contact center solutions for large government programs.
- Translate customer e...
....Read more...
Type: Permanent Location: Montgomery, US-AL
Salary / Rate: Not Specified
Posted: 2026-10-06 11:06:57
-
Essential Duties and Responsibilities:
- Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions.
- Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
- Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
- Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.
Job-Specific Essential Duties and Responsibilities:
- Design, build, and improve production AI solutions.
- Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.
- Write high-quality software and contribute directly to custom enterprise capabilities.
- Build AI-enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.
- Improve AI solutions by incorporating holistic algorithmic improvements.
- 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 enable other teams to deliver AI-based capabilities.
- Mentor other staff through solutioning of custom algorithms and solution enhancements.
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:
- Bachelor's degree in a relevant field of study and 10+ years of relevant professional experience required.
- 7+ years of professional advanced algorithm building and data science experience, including substantial experience building and supporting production algorithms on systems processing real data.
- 7+ years of professional Data Science or advanced algorithm building experience.
- 5+ years of experience designing or building solutions in cloud environments.
- 3+ years of experience with artificial intelligence, machine learning, or related technologies.
- Demonstrated experience developing algorithms including AI and machine learning algorithms.
- Stro...
....Read more...
Type: Permanent Location: Cheyenne, US-WY
Salary / Rate: Not Specified
Posted: 2026-10-06 11:06:52
-
Essential Duties and Responsibilities:
- Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions.
- Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
- Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
- Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.
Job-Specific Essential Duties and Responsibilities:
- Design, build, and improve production AI solutions.
- Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.
- Write high-quality software and contribute directly to custom enterprise capabilities.
- Build AI-enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.
- Improve AI solutions by incorporating holistic algorithmic improvements.
- 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 enable other teams to deliver AI-based capabilities.
- Mentor other staff through solutioning of custom algorithms and solution enhancements.
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:
- Bachelor's degree in a relevant field of study and 10+ years of relevant professional experience required.
- 7+ years of professional advanced algorithm building and data science experience, including substantial experience building and supporting production algorithms on systems processing real data.
- 7+ years of professional Data Science or advanced algorithm building experience.
- 5+ years of experience designing or building solutions in cloud environments.
- 3+ years of experience with artificial intelligence, machine learning, or related technologies.
- Demonstrated experience developing algorithms including AI and machine learning algorithms.
- Stro...
....Read more...
Type: Permanent Location: Eau Claire, US-WI
Salary / Rate: Not Specified
Posted: 2026-10-06 11:06:48
-
Essential Duties and Responsibilities:
- Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions.
- Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
- Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
- Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.
Job-Specific Essential Duties and Responsibilities:
- Design, build, and improve production AI solutions.
- Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.
- Write high-quality software and contribute directly to custom enterprise capabilities.
- Build AI-enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.
- Improve AI solutions by incorporating holistic algorithmic improvements.
- 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 enable other teams to deliver AI-based capabilities.
- Mentor other staff through solutioning of custom algorithms and solution enhancements.
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:
- Bachelor's degree in a relevant field of study and 10+ years of relevant professional experience required.
- 7+ years of professional advanced algorithm building and data science experience, including substantial experience building and supporting production algorithms on systems processing real data.
- 7+ years of professional Data Science or advanced algorithm building experience.
- 5+ years of experience designing or building solutions in cloud environments.
- 3+ years of experience with artificial intelligence, machine learning, or related technologies.
- Demonstrated experience developing algorithms including AI and machine learning algorithms.
- Stro...
....Read more...
Type: Permanent Location: Roanoke, US-VA
Salary / Rate: Not Specified
Posted: 2026-10-06 11:06:47
-
Essential Duties and Responsibilities:
- Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions.
- Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
- Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
- Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.
Job-Specific Essential Duties and Responsibilities:
- Design, build, and improve production AI solutions.
- Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.
- Write high-quality software and contribute directly to custom enterprise capabilities.
- Build AI-enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.
- Improve AI solutions by incorporating holistic algorithmic improvements.
- 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 enable other teams to deliver AI-based capabilities.
- Mentor other staff through solutioning of custom algorithms and solution enhancements.
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:
- Bachelor's degree in a relevant field of study and 10+ years of relevant professional experience required.
- 7+ years of professional advanced algorithm building and data science experience, including substantial experience building and supporting production algorithms on systems processing real data.
- 7+ years of professional Data Science or advanced algorithm building experience.
- 5+ years of experience designing or building solutions in cloud environments.
- 3+ years of experience with artificial intelligence, machine learning, or related technologies.
- Demonstrated experience developing algorithms including AI and machine learning algorithms.
- Stro...
....Read more...
Type: Permanent Location: Spokane, US-WA
Salary / Rate: Not Specified
Posted: 2026-10-06 11:06:47
-
Essential Duties and Responsibilities:
- Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions.
- Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
- Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
- Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.
Job-Specific Essential Duties and Responsibilities:
- Design, build, and improve production AI solutions.
- Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.
- Write high-quality software and contribute directly to custom enterprise capabilities.
- Build AI-enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.
- Improve AI solutions by incorporating holistic algorithmic improvements.
- 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 enable other teams to deliver AI-based capabilities.
- Mentor other staff through solutioning of custom algorithms and solution enhancements.
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:
- Bachelor's degree in a relevant field of study and 10+ years of relevant professional experience required.
- 7+ years of professional advanced algorithm building and data science experience, including substantial experience building and supporting production algorithms on systems processing real data.
- 7+ years of professional Data Science or advanced algorithm building experience.
- 5+ years of experience designing or building solutions in cloud environments.
- 3+ years of experience with artificial intelligence, machine learning, or related technologies.
- Demonstrated experience developing algorithms including AI and machine learning algorithms.
- Stro...
....Read more...
Type: Permanent Location: Charleston, US-WV
Salary / Rate: Not Specified
Posted: 2026-10-06 11:06:46
-
Essential Duties and Responsibilities:
- Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions.
- Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
- Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
- Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.
Job-Specific Essential Duties and Responsibilities:
- Design, build, and improve production AI solutions.
- Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.
- Write high-quality software and contribute directly to custom enterprise capabilities.
- Build AI-enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.
- Improve AI solutions by incorporating holistic algorithmic improvements.
- 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 enable other teams to deliver AI-based capabilities.
- Mentor other staff through solutioning of custom algorithms and solution enhancements.
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:
- Bachelor's degree in a relevant field of study and 10+ years of relevant professional experience required.
- 7+ years of professional advanced algorithm building and data science experience, including substantial experience building and supporting production algorithms on systems processing real data.
- 7+ years of professional Data Science or advanced algorithm building experience.
- 5+ years of experience designing or building solutions in cloud environments.
- 3+ years of experience with artificial intelligence, machine learning, or related technologies.
- Demonstrated experience developing algorithms including AI and machine learning algorithms.
- Stro...
....Read more...
Type: Permanent Location: Milwaukee, US-WI
Salary / Rate: Not Specified
Posted: 2026-10-06 11:06:45
-
Essential Duties and Responsibilities:
- Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions.
- Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
- Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
- Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.
Job-Specific Essential Duties and Responsibilities:
- Design, build, and improve production AI solutions.
- Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.
- Write high-quality software and contribute directly to custom enterprise capabilities.
- Build AI-enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.
- Improve AI solutions by incorporating holistic algorithmic improvements.
- 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 enable other teams to deliver AI-based capabilities.
- Mentor other staff through solutioning of custom algorithms and solution enhancements.
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:
- Bachelor's degree in a relevant field of study and 10+ years of relevant professional experience required.
- 7+ years of professional advanced algorithm building and data science experience, including substantial experience building and supporting production algorithms on systems processing real data.
- 7+ years of professional Data Science or advanced algorithm building experience.
- 5+ years of experience designing or building solutions in cloud environments.
- 3+ years of experience with artificial intelligence, machine learning, or related technologies.
- Demonstrated experience developing algorithms including AI and machine learning algorithms.
- Stro...
....Read more...
Type: Permanent Location: Seattle, US-WA
Salary / Rate: Not Specified
Posted: 2026-10-06 11:06:45
-
Essential Duties and Responsibilities:
- Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions.
- Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
- Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
- Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.
Job-Specific Essential Duties and Responsibilities:
- Design, build, and improve production AI solutions.
- Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.
- Write high-quality software and contribute directly to custom enterprise capabilities.
- Build AI-enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.
- Improve AI solutions by incorporating holistic algorithmic improvements.
- 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 enable other teams to deliver AI-based capabilities.
- Mentor other staff through solutioning of custom algorithms and solution enhancements.
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:
- Bachelor's degree in a relevant field of study and 10+ years of relevant professional experience required.
- 7+ years of professional advanced algorithm building and data science experience, including substantial experience building and supporting production algorithms on systems processing real data.
- 7+ years of professional Data Science or advanced algorithm building experience.
- 5+ years of experience designing or building solutions in cloud environments.
- 3+ years of experience with artificial intelligence, machine learning, or related technologies.
- Demonstrated experience developing algorithms including AI and machine learning algorithms.
- Stro...
....Read more...
Type: Permanent Location: Morgantown, US-WV
Salary / Rate: Not Specified
Posted: 2026-10-06 11:06:40
-
Essential Duties and Responsibilities:
- Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions.
- Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
- Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
- Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.
Job-Specific Essential Duties and Responsibilities:
- Design, build, and improve production AI solutions.
- Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.
- Write high-quality software and contribute directly to custom enterprise capabilities.
- Build AI-enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.
- Improve AI solutions by incorporating holistic algorithmic improvements.
- 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 enable other teams to deliver AI-based capabilities.
- Mentor other staff through solutioning of custom algorithms and solution enhancements.
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:
- Bachelor's degree in a relevant field of study and 10+ years of relevant professional experience required.
- 7+ years of professional advanced algorithm building and data science experience, including substantial experience building and supporting production algorithms on systems processing real data.
- 7+ years of professional Data Science or advanced algorithm building experience.
- 5+ years of experience designing or building solutions in cloud environments.
- 3+ years of experience with artificial intelligence, machine learning, or related technologies.
- Demonstrated experience developing algorithms including AI and machine learning algorithms.
- Stro...
....Read more...
Type: Permanent Location: St. George, US-UT
Salary / Rate: Not Specified
Posted: 2026-10-06 11:06:36
-
Essential Duties and Responsibilities:
- Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions.
- Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
- Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
- Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.
Job-Specific Essential Duties and Responsibilities:
- Design, build, and improve production AI solutions.
- Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.
- Write high-quality software and contribute directly to custom enterprise capabilities.
- Build AI-enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.
- Improve AI solutions by incorporating holistic algorithmic improvements.
- 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 enable other teams to deliver AI-based capabilities.
- Mentor other staff through solutioning of custom algorithms and solution enhancements.
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:
- Bachelor's degree in a relevant field of study and 10+ years of relevant professional experience required.
- 7+ years of professional advanced algorithm building and data science experience, including substantial experience building and supporting production algorithms on systems processing real data.
- 7+ years of professional Data Science or advanced algorithm building experience.
- 5+ years of experience designing or building solutions in cloud environments.
- 3+ years of experience with artificial intelligence, machine learning, or related technologies.
- Demonstrated experience developing algorithms including AI and machine learning algorithms.
- Stro...
....Read more...
Type: Permanent Location: Salt Lake City, US-UT
Salary / Rate: Not Specified
Posted: 2026-10-06 11:06:36
-
Essential Duties and Responsibilities:
- Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions.
- Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
- Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
- Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.
Job-Specific Essential Duties and Responsibilities:
- Design, build, and improve production AI solutions.
- Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.
- Write high-quality software and contribute directly to custom enterprise capabilities.
- Build AI-enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.
- Improve AI solutions by incorporating holistic algorithmic improvements.
- 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 enable other teams to deliver AI-based capabilities.
- Mentor other staff through solutioning of custom algorithms and solution enhancements.
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:
- Bachelor's degree in a relevant field of study and 10+ years of relevant professional experience required.
- 7+ years of professional advanced algorithm building and data science experience, including substantial experience building and supporting production algorithms on systems processing real data.
- 7+ years of professional Data Science or advanced algorithm building experience.
- 5+ years of experience designing or building solutions in cloud environments.
- 3+ years of experience with artificial intelligence, machine learning, or related technologies.
- Demonstrated experience developing algorithms including AI and machine learning algorithms.
- Stro...
....Read more...
Type: Permanent Location: Richmond, US-VA
Salary / Rate: Not Specified
Posted: 2026-10-06 11:06:35
-
Essential Duties and Responsibilities:
- Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions.
- Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
- Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
- Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.
Job-Specific Essential Duties and Responsibilities:
- Design, build, and improve production AI solutions.
- Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.
- Write high-quality software and contribute directly to custom enterprise capabilities.
- Build AI-enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.
- Improve AI solutions by incorporating holistic algorithmic improvements.
- 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 enable other teams to deliver AI-based capabilities.
- Mentor other staff through solutioning of custom algorithms and solution enhancements.
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:
- Bachelor's degree in a relevant field of study and 10+ years of relevant professional experience required.
- 7+ years of professional advanced algorithm building and data science experience, including substantial experience building and supporting production algorithms on systems processing real data.
- 7+ years of professional Data Science or advanced algorithm building experience.
- 5+ years of experience designing or building solutions in cloud environments.
- 3+ years of experience with artificial intelligence, machine learning, or related technologies.
- Demonstrated experience developing algorithms including AI and machine learning algorithms.
- Stro...
....Read more...
Type: Permanent Location: Bennington, US-VT
Salary / Rate: Not Specified
Posted: 2026-10-06 11:06:34
-
Essential Duties and Responsibilities:
- Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions.
- Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
- Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
- Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.
Job-Specific Essential Duties and Responsibilities:
- Design, build, and improve production AI solutions.
- Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.
- Write high-quality software and contribute directly to custom enterprise capabilities.
- Build AI-enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.
- Improve AI solutions by incorporating holistic algorithmic improvements.
- 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 enable other teams to deliver AI-based capabilities.
- Mentor other staff through solutioning of custom algorithms and solution enhancements.
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:
- Bachelor's degree in a relevant field of study and 10+ years of relevant professional experience required.
- 7+ years of professional advanced algorithm building and data science experience, including substantial experience building and supporting production algorithms on systems processing real data.
- 7+ years of professional Data Science or advanced algorithm building experience.
- 5+ years of experience designing or building solutions in cloud environments.
- 3+ years of experience with artificial intelligence, machine learning, or related technologies.
- Demonstrated experience developing algorithms including AI and machine learning algorithms.
- Stro...
....Read more...
Type: Permanent Location: Tysons, US-VA
Salary / Rate: Not Specified
Posted: 2026-10-06 11:06:34
-
Essential Duties and Responsibilities:
- Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions.
- Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
- Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
- Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.
Job-Specific Essential Duties and Responsibilities:
- Design, build, and improve production AI solutions.
- Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.
- Write high-quality software and contribute directly to custom enterprise capabilities.
- Build AI-enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.
- Improve AI solutions by incorporating holistic algorithmic improvements.
- 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 enable other teams to deliver AI-based capabilities.
- Mentor other staff through solutioning of custom algorithms and solution enhancements.
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:
- Bachelor's degree in a relevant field of study and 10+ years of relevant professional experience required.
- 7+ years of professional advanced algorithm building and data science experience, including substantial experience building and supporting production algorithms on systems processing real data.
- 7+ years of professional Data Science or advanced algorithm building experience.
- 5+ years of experience designing or building solutions in cloud environments.
- 3+ years of experience with artificial intelligence, machine learning, or related technologies.
- Demonstrated experience developing algorithms including AI and machine learning algorithms.
- Stro...
....Read more...
Type: Permanent Location: Burlington, US-VT
Salary / Rate: Not Specified
Posted: 2026-10-06 11:06:33
-
Essential Duties and Responsibilities:
- Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions.
- Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
- Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
- Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.
Job-Specific Essential Duties and Responsibilities:
- Design, build, and improve production AI solutions.
- Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.
- Write high-quality software and contribute directly to custom enterprise capabilities.
- Build AI-enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.
- Improve AI solutions by incorporating holistic algorithmic improvements.
- 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 enable other teams to deliver AI-based capabilities.
- Mentor other staff through solutioning of custom algorithms and solution enhancements.
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:
- Bachelor's degree in a relevant field of study and 10+ years of relevant professional experience required.
- 7+ years of professional advanced algorithm building and data science experience, including substantial experience building and supporting production algorithms on systems processing real data.
- 7+ years of professional Data Science or advanced algorithm building experience.
- 5+ years of experience designing or building solutions in cloud environments.
- 3+ years of experience with artificial intelligence, machine learning, or related technologies.
- Demonstrated experience developing algorithms including AI and machine learning algorithms.
- Stro...
....Read more...
Type: Permanent Location: Dallas, US-TX
Salary / Rate: Not Specified
Posted: 2026-10-06 11:06:28
-
Essential Duties and Responsibilities:
- Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions.
- Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
- Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
- Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.
Job-Specific Essential Duties and Responsibilities:
- Design, build, and improve production AI solutions.
- Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.
- Write high-quality software and contribute directly to custom enterprise capabilities.
- Build AI-enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.
- Improve AI solutions by incorporating holistic algorithmic improvements.
- 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 enable other teams to deliver AI-based capabilities.
- Mentor other staff through solutioning of custom algorithms and solution enhancements.
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:
- Bachelor's degree in a relevant field of study and 10+ years of relevant professional experience required.
- 7+ years of professional advanced algorithm building and data science experience, including substantial experience building and supporting production algorithms on systems processing real data.
- 7+ years of professional Data Science or advanced algorithm building experience.
- 5+ years of experience designing or building solutions in cloud environments.
- 3+ years of experience with artificial intelligence, machine learning, or related technologies.
- Demonstrated experience developing algorithms including AI and machine learning algorithms.
- Stro...
....Read more...
Type: Permanent Location: San Antonio, US-TX
Salary / Rate: Not Specified
Posted: 2026-10-06 11:06:25
-
Essential Duties and Responsibilities:
- Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions.
- Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
- Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
- Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.
Job-Specific Essential Duties and Responsibilities:
- Design, build, and improve production AI solutions.
- Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.
- Write high-quality software and contribute directly to custom enterprise capabilities.
- Build AI-enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.
- Improve AI solutions by incorporating holistic algorithmic improvements.
- 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 enable other teams to deliver AI-based capabilities.
- Mentor other staff through solutioning of custom algorithms and solution enhancements.
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:
- Bachelor's degree in a relevant field of study and 10+ years of relevant professional experience required.
- 7+ years of professional advanced algorithm building and data science experience, including substantial experience building and supporting production algorithms on systems processing real data.
- 7+ years of professional Data Science or advanced algorithm building experience.
- 5+ years of experience designing or building solutions in cloud environments.
- 3+ years of experience with artificial intelligence, machine learning, or related technologies.
- Demonstrated experience developing algorithms including AI and machine learning algorithms.
- Stro...
....Read more...
Type: Permanent Location: Nashville, US-TN
Salary / Rate: Not Specified
Posted: 2026-10-06 11:06:21
-
Essential Duties and Responsibilities:
- Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions.
- Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
- Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
- Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.
Job-Specific Essential Duties and Responsibilities:
- Design, build, and improve production AI solutions.
- Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.
- Write high-quality software and contribute directly to custom enterprise capabilities.
- Build AI-enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.
- Improve AI solutions by incorporating holistic algorithmic improvements.
- 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 enable other teams to deliver AI-based capabilities.
- Mentor other staff through solutioning of custom algorithms and solution enhancements.
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:
- Bachelor's degree in a relevant field of study and 10+ years of relevant professional experience required.
- 7+ years of professional advanced algorithm building and data science experience, including substantial experience building and supporting production algorithms on systems processing real data.
- 7+ years of professional Data Science or advanced algorithm building experience.
- 5+ years of experience designing or building solutions in cloud environments.
- 3+ years of experience with artificial intelligence, machine learning, or related technologies.
- Demonstrated experience developing algorithms including AI and machine learning algorithms.
- Stro...
....Read more...
Type: Permanent Location: Memphis, US-TN
Salary / Rate: Not Specified
Posted: 2026-10-06 11:06:16
-
Essential Duties and Responsibilities:
- Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions.
- Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations.
- Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner.
- Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital.
Job-Specific Essential Duties and Responsibilities:
- Design, build, and improve production AI solutions.
- Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.
- Write high-quality software and contribute directly to custom enterprise capabilities.
- Build AI-enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.
- Improve AI solutions by incorporating holistic algorithmic improvements.
- 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 enable other teams to deliver AI-based capabilities.
- Mentor other staff through solutioning of custom algorithms and solution enhancements.
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:
- Bachelor's degree in a relevant field of study and 10+ years of relevant professional experience required.
- 7+ years of professional advanced algorithm building and data science experience, including substantial experience building and supporting production algorithms on systems processing real data.
- 7+ years of professional Data Science or advanced algorithm building experience.
- 5+ years of experience designing or building solutions in cloud environments.
- 3+ years of experience with artificial intelligence, machine learning, or related technologies.
- Demonstrated experience developing algorithms including AI and machine learning algorithms.
- Stro...
....Read more...
Type: Permanent Location: Houston, US-TX
Salary / Rate: Not Specified
Posted: 2026-10-06 11:06:12
