AI Systems Engineer

General Dynamics Mission Systems, Inc • Pittsfield, MA

7d • $90,833 - $100,767 • Onsite

About The Position

As an AI Innovator supporting Strategic Mission Systems Programs, you will work on a cross-functional team to turn emerging AI capabilities into practical solutions for engineering and program challenges. You will explore new technology, build and test AI-enabled tools, and rethink workflows to improve efficiency, quality, and delivery of mission-critical capabilities.

The role involves identifying repetitive tasks, bottlenecks, and complex problems where AI may help; designing, developing, and refining practical AI-enabled tools, workflows, and processes; and testing emerging AI models, features, tools, and frameworks. You will evaluate solutions for usefulness, accuracy, reliability, security, and suitability, while documenting benefits, limitations, defects, and risks. You will establish measures of success, demonstrate the impact of solutions, and work with AI Champions to share ideas, incorporate feedback, and support broader adoption. You will also look for opportunities to reuse approved tools, assistants, automation patterns, and enterprise services.

The position is fully on-site with the Pittsfield, Massachusetts team. A Department of Defense Secret security clearance must be obtainable within a reasonable time after hire. Applicants are subject to a U.S. Government security investigation, must meet eligibility requirements for classified access, and must be U.S. citizens.

Requirements

• Bachelor's degree in Systems Engineering or a related Science, Engineering, or Mathematics field and at least 2 years of relevant experience; or a Master's degree and at least 6 months of relevant experience.
• U.S. citizenship is required.
• Must be eligible for access to classified information and able to obtain a Department of Defense Secret security clearance within a reasonable amount of time after hire.
• Understanding of systems engineering concepts, principles, theories, and technical standards.
• Sound technical judgment about when AI adds value, when it does not, and when human review remains essential.
• Ability to learn quickly, navigate ambiguity, and take on increasingly complex responsibilities.
• Collaborative mindset and ability to make technical ideas understandable and useful to others.
• Commitment to continuous learning, constructive feedback, and delivering measurable improvements.

Nice To Haves

• Hands-on experience using generative AI, scripting, software development, or automation to create useful tools or improve workflows.
• Experience applying systems engineering, requirements management, system modeling, or process improvement to complex technical or program challenges.
• Experience prototyping solutions, evaluating performance, incorporating user feedback, and demonstrating improvements in efficiency, quality, or usability.
• Familiarity with requirements management and system modeling tools.
• Creative, hands-on problem-solving approach and interest in building and testing practical solutions.

Responsibilities

• Partner with engineers, program teams, and AI Champions to identify repetitive tasks, workflow bottlenecks, and complex problems where AI can make a meaningful difference.
• Design, develop, and refine AI-enabled tools, workflows, and processes to meet 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 for their intended applications; provide constructive feedback on benefits, limitations, defects, and risks.
• Establish practical success measures and demonstrate improvements in time savings, quality, effort, accessibility, or workflow.
• Document solution functionality, limitations, and responsible-use considerations.
• Work with AI Champions to demonstrate solutions, incorporate feedback, and support broader adoption.
• Explore approved tools, assistants, automation patterns, and enterprise services before creating new solutions, and share reusable approaches.

Benefits

• 401(k) matching
• Flexible schedules, including an optional 9/80 schedule with every other Friday off
• Flex time off
• Paid parental leave
• Healthcare benefits
• Health and wellness programs
• Employee resource and social groups
• Continuous learning and development opportunities

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level