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# AI Systems Engineer

- **Company:** General Dynamics Mission Systems, Inc.
- **Location:** Pittsfield, MA, United States
- **Salary:** $100,767.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Systems Engineering, Machine Learning, Requirements Management, Software Engineering, Scripting, Generative AI
- **Published:** October 30, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3484843702&tx=UT5046TYT&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

Bachelor's degree in Systems Engineering, or a related Science, Engineering or Mathematics field, plus a minimum of 2 years of relevant experience; or Master's degree, plus 6 months of relevant experience., * Hands-on AI experimentation and solution development: Experience using generative AI, scripting, software development, or automation to create useful tools or significantly improve existing workflows.

 * Engineering and program problem-solving: Experience applying systems engineering, requirements management, system modeling, or process improvement to solve complex technical or program challenges.
 * Turning ideas into measurable results: Experience prototyping solutions, evaluating performance, incorporating user feedback, and demonstrating improvements in efficiency, quality, or usability., * A clear understanding of systems engineering concepts, principles, theories, and technical standards.
 * Familiarity with requirements management and system modeling tools, paired with curiosity about how AI can improve engineering work.
 * A creative, hands-on approach to problem-solving-you enjoy asking "What if?" and then building and testing a practical answer.
 * The ability to learn quickly, navigate ambiguity, and take on increasingly complex responsibilities.
 * Sound technical judgment, including knowing when AI adds value, when it does not, and where human review remains essential.
 * A collaborative mindset and the ability to make technical ideas understandable and useful to others.
 * A commitment to continuous learning, constructive feedback, and professional development for yourself and your teammates.
 * A drive to deliver measurable improvements-not just compelling demonstrations.

## Description

* Turn difficult program challenges into opportunities for innovation. Partner with engineers, program teams, and AI Champions to identify repetitive tasks, workflow bottlenecks, and complex problems where AI can make a meaningful difference.
 * Build, experiment, and improve. Design, develop, and refine AI-enabled tools, workflows, and processes, moving from a focused concept to a practical solution that meets real user needs.
 * Explore emerging capabilities. Test and evaluate new AI models, features, tools, and supporting frameworks when needed, with an emphasis on technical capability, integration, and solution development.
 * Make reliability and responsible use part of the design. Evaluate solutions for usefulness, accuracy, reliability, security, and suitability for their intended application; provide timely, constructive feedback on benefits, limitations, defects, and risks.
 * Demonstrate impact. Establish practical measures of success and show how your innovations save time, improve quality, reduce effort, or make information and workflows more accessible.
 * Help successful ideas reach more teams. Document solution functionality, limitations, and responsible-use considerations; partner with AI Champions to share demonstrations, incorporate feedback, and support broader adoption.
 * Reuse what works. Explore existing approved tools, assistants, automation patterns, and enterprise services before building something new, and share reusable approaches that other programs can adapt.