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Department Summary:
Do you want to engineer software systems that contribute to solving our nation's most critical problems? Do you want to work along side engineers, scientists, and domain specialists that are experts in their fields? Are you passionate about best practices for delivering the highest quality software solutions?
We're making a difference every day-working for a safer, healthier, and more secure nation and world.
At MITRE, you'll apply your skills and experience to solve tangible, high-impact challenges facing our nation. You'll contribute to diverse projects in support of our government sponsors while benefiting from meaningful learning and growth opportunities. Our workplace reflects our values: we invest in your development so you can build a long-term career here. Join us for mission-driven work, competitive benefits, exceptional professional development, and a culture of innovation that values flexibility, collaboration, and career growth.
Roles & Responsibilities:
MITRE is seeking a Lead 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 proto@types 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. Areas of engagement may include
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 proto@type 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)
Lead enablement: mentor teams, advise stakeholders/customers on agentic adoption, develop best practices/playbooks, and drive measurable process improvement
Basic Qualifications:
Typically requires a minimum of 8 years of related experience with a Bachelor's degree; or 6 years and a Master's degree; or a PhD with 3 years' experience; or equivalent combination of related education and work experience
Must be U.S. citizen eligible to obtain and maintain a Secret clearance
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) and integrating them into the Software Development Life Cycle
Experience designing guardrails for AI-enabled engineering (tool/model selection, prompt/@context hygiene, secrets handling, provenance, auditability, and policy/compliance constraints)
Experience establishing quality/evaluation practices for AI-generated outputs (automated checks, unit/integration tests, static/security analysis, and human-in-the-loop review standards)
Leadership/enablement skills: mentoring, setting engineering standards, and advising stakeholders/customers on responsible adoption and change management
This position requires a minimum of 50% hybrid on-site
Per the U.S. Government's eligibility requirements, you must be a U.S Citizen to be considered for a security clearance.
Preferred Qualifications:
Advanced degree in a technical discipline (including but not limited to Software Engineering, Computer Science, Computer Engineering, Mathematics, etc.)
Active Top Secret clearance preferred
Proven experience building, deploying, and operating LLM/agent systems (e.g., RAG, tool/function calling, orchestration frameworks) in production, including constrained/classified environments
Strong AI/agent security background, including threat modeling/red-teaming and implementing safety controls (e.g., prompt injection defenses, data loss/exfiltration prevention, least-privilege tool execution, sandboxing/content filtering)
Mature evaluation and quality practices for LLMs/agents (e.g., golden sets, regression benchmarking, judge models; hallucination/jailbreak resistance and task success metrics)
Platform engineering/DevSecOps expertise: CI/CD delivery platforms, artifact management, and software supply-chain/provenance controls (e.g., SBOMs, signing/attestation/SLSA, policy-as-code)
Cloud-native operations depth across Kubernetes and IaC/multi-cloud, with strong observability (tracing/logs/agent telemetry, audit logging/Splunk) and MLOps/model serving (hosting, gatewaying, rate/cost controls, monitoring)
Experience supporting mission/operational systems and external integrations (mission partners/vendors), including regulated environments (NIST 800-53/RMF, FedRAMP, DoD ILs) and producing audit-ready evidence/artifacts
This requisition requires the candidate to have a minimum of the following clearance(s):
None
This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):
Secret
Salary compensation range and midpoint:
$156,800 - $196,000 - $235,200 Annual
Work Location Type:
Hybrid
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law.
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