AI Innovation Engineer

General Dynamics Mission Systems, Inc•Pittsfield, MA
•$112,924 - $125,275•Hybrid

About The Position

As an AI Innovator supporting Strategic Mission Systems Programs, you will join a cross-functional team that turns emerging AI capabilities into practical solutions for engineering and execution challenges. The role involves exploring new technology, building and testing AI-enabled tools, and improving workflows to help teams work more efficiently, improve quality, and deliver mission-critical capabilities. You will partner with engineers, program teams, and AI Champions to identify opportunities for AI, develop and refine practical solutions, evaluate emerging models and tools, and assess reliability, security, risks, and suitability for intended uses. You will establish measures of success, document solutions and responsible-use considerations, share reusable approaches, and help other teams adopt successful ideas. The position is fully onsite or Hybrid/Flex, with onsite work in Pittsfield, Massachusetts. Onsite work is required as applicable, and U.S. citizenship is required. A Department of Defense Secret clearance must be obtainable within a reasonable amount of time after hire.

Requirements

  • Bachelor's degree in Systems Engineering or a related Science, Engineering, or Mathematics field and at least 5 years of relevant experience; or a Master's degree and at least 3 years of relevant experience.
  • U.S. citizenship.
  • Ability to work onsite.
  • Department of Defense Secret security clearance obtainable within a reasonable amount of time after hire; selected applicants must meet eligibility requirements for access to classified information.

Nice To Haves

  • Hands-on experience using generative AI, scripting, software development, or automation to create useful tools or significantly improve workflows.
  • Experience applying systems engineering, requirements management, system modeling, or process improvement to technical or program challenges.
  • Experience prototyping solutions, evaluating performance, incorporating user feedback, and demonstrating improvements in efficiency, quality, or usability.
  • Understanding of systems engineering concepts, principles, theories, and technical standards.
  • Familiarity with requirements management and system modeling tools.
  • Creative, hands-on problem-solving approach and interest in building and testing practical solutions.
  • Ability to learn quickly, navigate ambiguity, and take on increasingly complex responsibilities.
  • Sound technical judgment about when AI is useful, when it is not, and where human review remains essential.
  • Collaborative mindset and ability to make technical ideas understandable and useful to others.
  • Commitment to continuous learning, constructive feedback, and professional development.
  • Drive to deliver measurable improvements.

Responsibilities

  • Partner with engineers, program teams, and AI Champions to identify repetitive tasks, workflow bottlenecks, and complex problems where AI may help.
  • Design, develop, and refine AI-enabled tools, workflows, and processes to address user needs.
  • Test and evaluate emerging AI models, features, tools, and supporting frameworks, emphasizing technical capability, integration, and solution development.
  • Evaluate solutions for usefulness, accuracy, reliability, security, and suitability; provide feedback on benefits, limitations, defects, and risks.
  • Establish practical measures of success and demonstrate improvements in time, quality, effort, accessibility, or workflow.
  • Document solution functionality, limitations, and responsible-use considerations.
  • Partner with AI Champions to demonstrate solutions, incorporate feedback, and support broader adoption.
  • Explore approved tools, assistants, automation patterns, and enterprise services before developing new solutions.
  • Share reusable approaches that other programs can adapt.

Benefits

  • 401(k) matching
  • Flex time off
  • Paid parental leave
  • Healthcare benefits
  • Health and wellness programs
  • Employee resource and social groups
  • Flexible schedules with every other Friday off through an optional 9/80 schedule
  • Continuous learning and development opportunities
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service