Senior Agentic Software Engineer

The MITRE Corporation is a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. Our workplace reflects our values, offering competitive benefits, exceptional professional development opportunities, and a culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership.

About the role

MITRE is seeking a Senior Agentic Software Engineer to design, build, secure, and operate mission-focused software systems and data platforms using state-of-the-art agentic and AI-enabled software development techniques. In this role, you’ll apply modern tools and practices to develop prototypes and field-ready capabilities, advise sponsors on effective adoption, and help establish guidance, best practices, and guardrails for responsible use. You’ll deliver features and technical solutions, shape system architecture and engineering process improvements, and lead both sustained program execution and rapid response mission needs.

The applicant should be prepared to work across multiple domain areas and to support a mix of standard program work and urgent, high-impact enablement tasks as organizational priorities evolve.

Responsibilities

• Design, develop, test, and deploy mission software and data platforms using agentic/AI-assisted workflows with clear human accountability and review
• Stand up and operate agentic development toolchains (code/test/review agents, copilots, automation bots) integrated into standard engineering practices
• Rapidly prototype mission capabilities with agentic methods and mature them into production-grade systems (security, reliability, scalability, observability)
• Define, implement, and enforce guardrails for agentic engineering (approved tools/models, data handling, secrets, provenance, auditability, safe prompting)
• Establish evaluation and quality gates for AI-generated artifacts (tests, static/security analysis, coding standards, CI checks, acceptance criteria)
• Architect, build, and operate distributed cloud systems (AWS/multi-cloud) using agentic techniques to manage performance, resilience, cost, and troubleshooting
• Design and integrate APIs, backend services, and data flows; build and operate data pipelines and orchestration where applicable
• Automate DevSecOps and CI/CD with AI-aware controls (supply-chain security, dependency/container/IaC scanning, SAST/DAST, policy-as-code) and repeatable releases
• Produce and maintain documentation, runbooks, and compliance-ready evidence for AI-assisted engineering, including observability integrations (e.g., Splunk)

Qualifications

• Typically requires a minimum of 5 years of related experience with a Bachelor’s degree; or 3 years and a Master’s degree; or a PhD with relevant experience who can immediately contribute to this job step
• Entrepreneurial, innovative, and collaborative spirit and the curiosity to explore and push the boundaries of software development and software solutions
• Strong software engineering fundamentals and Python proficiency, including secure coding, code review, automated testing, and maintainable design patterns
• Hands-on experience using agentic/AI-assisted development tools (e.g., copilot, code agents, test generation, PR review automation)