Lead AI Software Engineer

Description & Requirements

We now have an exciting opportunity for a Lead AI Software Engineer to join the Maximus AI Accelerator supporting the enterprise at large.

We are looking for an accomplished hands-on individual contributor and team player to be a part of the AI Accelerator team.

You will be responsible for architecting and optimizing scalable, secure AI systems and integrating AI models in production using MLOps best practices, ensuring systems are resilient, compliant, and efficient.

This role requires strong systems thinking, problem-solving abilities, and the capacity to manage risk and change in complex environments.

Success depends on cross-functional collaboration, strategic communication, and adaptability in fast-paced, evolving technology landscapes.

This position will be focused on strategic company-wide initiatives but will play a role in project delivery and capture solutioning (i.e., leaning in on existing or future projects and providing solutioning to capture new work.)

This is a remote position.

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:

- Develop, collaborate, and advance the applied and responsible use of AI, ML and data science solutions throughout the enterprise by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation.

- Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital.

- Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning.

- Maintain current knowledge and evaluation of the AI technology landscape and emerging developments and their applicability for use in production/operational environments

Minimum Requirements

- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent co...