3 days ago
New Bedford, MA, USA or McLean, VA, USASenior
Base Salary
$144k - $215k/yr
Responsibilities
- Engage technical and mission users to understand objectives, workflows, data needs, security constraints, and adoption challenges.
- Design, develop, integrate, test, and document AI-enabled applications and workflows.
- Create reusable AI workflows, prompt patterns, agentic components, starter kits, development-environment templates, and technical guidance.
- Evaluate solution alternatives, technical tradeoffs, risks, dependencies, and implementation paths across approved data and security environments.
- Deliver demonstrations, training, office hours, hands-on experimentation, and high-touch technical support.
- Collaborate with mission users, AI communities, platform teams, Enterprise Technology, Information Security Services, laboratories, and engineering communities.
- Lead defined technical tasks or small efforts and provide knowledge transfer and informal guidance.
Requirements
- Bachelor’s degree with at least 5 years of related experience, or 3 years with a master’s degree, or a PhD with relevant experience, or an equivalent combination of education and work experience.
- Experience designing, developing, integrating, or enabling applied AI solutions, AI/ML workflows, AI-enabled applications, software services, data platforms, developer environments, platform engineering capabilities, or related technical solutions.
- Senior-level technical knowledge of applied AI, AI/ML workflows, LLM APIs, enterprise AI platforms, agentic workflows, data infrastructure, cloud or hybrid platforms, GPU-enabled environments, developer tooling, or related domains.
- Experience translating user, project, or mission needs into reusable technical solutions, workflows, prototypes, data integrations, implementation guidance, training, or enablement models.
- Ability to work independently, solve complex technical problems, communicate clearly, build consensus, and collaborate with technical and nontechnical stakeholders.
- Eligibility to obtain and maintain a Secret U.S. government security clearance; U.S. citizenship is required for security-clearance eligibility.
- Preferred experience includes enterprise AI platforms, agentic tools, MCP services, Agent Skills, MLOps, LLMOps, Kubernetes, Kubeflow, GPU environments, retrieval-enabled systems, AI application development, and AI-enabled developer experiences.
- Preferred qualifications include a graduate degree in a related technical field, experience with controlled computing environments and secure data workflows, and experience delivering AI enablement, training, reusable patterns, quality practices, or support models.
Benefits
- Onsite work arrangement with a minimum of three days per week in McLean, VA, or Bedford, MA.
- Up to 5% travel.
- Competitive benefits and meaningful career development are stated; detailed benefits are provided through MITRE’s benefits information page.
Tech Stack
Categories
AI ApplicationsSolutions Engineering
About MITRE
MITRE is a nonprofit systems engineering and applied research organization that operates multiple federally funded research and development centers for U.S. government agencies. It builds prototypes, frameworks (such as the MITRE ATT&CK knowledge base), and provides technical guidance across defense, cybersecurity, aviation, and healthcare. Founded in 1958 and headquartered in McLean, Virginia, MITRE runs FFRDCs for sponsors including the Department of Defense, the Federal Aviation Administration, and health agencies.