Senior AI Solutions Architect

The MITRE Corporation • Charlottesville, VA

5d • $143,600 - $215,400 • Hybrid

About The Position

MITRE's Mission Computing Division is establishing a new department, AI and Mission Enablement, to accelerate the transformation of technical possibilities into mission capabilities. This department will integrate supercomputing, AI services, secure lab and cloud infrastructure, and modern engineering tools. The AI and Mission Enablement department will serve as the applied AI and services adoption arm, making MITRE's AI and mission platform investments practical for mission work. This involves providing staff with accessible paths to approved tools, workflows, reusable patterns, data integrations, development environments, hands-on experimentation, and high-touch technical support. The goal is to help teams transition from isolated experiments to secure, repeatable methods of utilizing platforms and computing environments across all aspects of their work. AI Enablement will act as a bridge between infrastructure and practice, collaborating with platform teams, mission users, laboratories, Enterprise Technology, Information Security Services, and AI communities to standardize the discovery, integration, teaching, support, and scaling of capabilities within approved data and security frameworks. The department aims to make AI and platforms easier to learn, trust, connect to MITRE workflows, and apply responsibly to mission challenges, ultimately creating a working foundation for a mission-centric MITRE.

Requirements

• 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 at this job step; or equivalent combination of related 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 in 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 technical domains.
• Experience translating user, project, or mission needs into reusable technical solutions, workflows, patterns, prototypes, data integrations, implementation guidance, training, or enablement models.
• Ability to work independently with minimal guidance, analyze multiple sources of information to solve complex technical problems, communicate complex information clearly, build consensus, and collaborate with technical and nontechnical stakeholders.
• Must be eligible to obtain and maintain a Top Secret/SCI U.S Government issued Security Clearance within one year of hire. Per the U.S. Government's eligibility requirements, you must be a U.S Citizen to be considered for a security clearance
• Ability to work a hybrid schedule with a minimum of 3 days on-site presence per week in McLean, VA; Bedford, MA; Colorado Springs, CO; San Diego, CA; Omaha, NE; Ft. Meade, MD; Charlottesville, VA; or Los Angeles, CA and travel up to 5%.

Nice To Haves

• Graduate degree in computer science, artificial intelligence, machine learning, data science, software engineering, systems engineering, human-centered computing, or a related technical field.
• Experience with LLM APIs, enterprise AI platforms, agentic tools, MCP services, Agent Skills, MLOps, LLMOps, Kubernetes, Kubeflow, GPU environments, retrieval-enabled systems, AI application development, or AI-enabled developer experiences.
• Hands-on experience designing, prototyping, integrating, testing, or documenting AI applications, agentic workflows, retrieval-enabled solutions, reusable prompt patterns, starter kits, data integrations, or development-environment templates.
• Experience helping technical or mission users adopt AI tools through training, coaching, internal enablement programs, communities of practice, office hours, rapid prototyping events, VibeLab-style challenges, or hands-on experimentation.
• Experience integrating AI capabilities with software delivery, DevSecOps, data platforms, analytics, modeling and simulation, systems engineering, knowledge management, or mission workflow platforms.
• Experience supporting AI workloads across on-prem, hybrid, cloud, CUI-capable, classified-adjacent, or other controlled computing environments.
• Experience with data intake, curation, exchange, governance, retrieval, secure data workflows, or mission AI data pipelines.
• Experience developing reusable AI patterns, technical guidance, enablement playbooks, quality practices, support models, or other resources that make approved AI capabilities easier to adopt and apply responsibly.
• Active TS/SCI clearance.

Responsibilities

• Engage technical and mission users to understand objectives, workflows, data needs, security constraints, and adoption challenges; translate those needs into AI solution concepts, prototypes, integration plans, reusable patterns, and implementation guidance.
• Design, develop, integrate, test, and document AI-enabled applications and workflows using approved AI tools, services, APIs, agents, retrieval-enabled approaches, data integrations, and developer environments.
• Help teams move beyond isolated AI experiments toward secure, supported, responsible, and repeatable use of AI in mission, engineering, analytic, software-development, and operational workflows.
• Independently evaluate AI solution alternatives and technical tradeoffs using multiple sources of information; identify risks, dependencies, gaps, and practical paths forward across approved data and security environments.
• Develop and promote reusable AI workflows, prompt patterns, agentic components, starter kits, development-environment templates, technical guidance, and enablement knowledge that make approved capabilities easier to discover, learn, access, integrate, and apply.
• Deliver demonstrations, training, office hours, hands-on experimentation, and high-touch technical support; identify recurring user needs and feedback that improve tools, support models, and adoption pathways.
• Collaborate across MITRE with mission users, AI communities, platform teams, Enterprise Technology, Information Security Services, laboratories, software, data, and systems engineering communities, and technical leadership; lead defined technical tasks or small efforts and provide knowledge transfer and informal guidance as appropriate.

Benefits

• competitive benefits
• exceptional professional development opportunities for career growth
• culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership

What This Job Offers

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