Senior AI Solutions Architect

The Mitre Corporation • New Bedford, MA

1d • $143,600 - $215,400 • Onsite

About The Position

MITRE's AI and Mission Enablement Department within the Mission Computing Division is seeking a Senior AI Solutions Architect as a senior technical individual contributor in AI Enablement. The role independently designs and delivers practical paths to approved AI tools, agentic workflows, reusable patterns, data integrations, and AI-enabled development environments. It helps mission teams move beyond isolated experiments toward secure, supported, responsible, and repeatable AI use.

The architect works with technical and mission users to understand objectives, workflows, data needs, security constraints, and adoption challenges, then translates those needs into solution concepts, prototypes, integration plans, reusable patterns, and implementation guidance. The role designs, develops, integrates, tests, and documents AI-enabled applications and workflows, and develops reusable resources that make approved capabilities easier to discover, learn, access, integrate, and apply.

The position also includes demonstrations, training, office hours, hands-on experimentation, and high-touch technical support. The architect collaborates across MITRE with mission users, AI communities, platform teams, Enterprise Technology, Information Security Services, laboratories, and software, data, and systems engineering communities. The role may lead defined technical tasks or small efforts and provide knowledge transfer and informal guidance. Work requires at least three days per week onsite in McLean, Virginia, or Bedford, Massachusetts, and travel up to 5%.

Requirements

• At least 5 years of related experience with a bachelor's degree, or 3 years with a master's degree, or a PhD with relevant experience, or an equivalent combination of related education and work experience.
• Must be eligible to obtain and maintain a Secret U.S. Government-issued security clearance; U.S. citizenship is required for security-clearance eligibility.
• 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.
• Ability to work onsite at least 3 days per week in McLean, VA, or Bedford, MA, 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 Secret Security Clearance.

Responsibilities

• Engage technical and mission users to understand objectives, workflows, data needs, security constraints, and adoption challenges, and translate 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 adopt secure, supported, responsible, and repeatable AI in mission, engineering, analytic, software-development, and operational workflows.
• Evaluate AI solution alternatives and technical tradeoffs; 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.
• Deliver demonstrations, training, office hours, hands-on experimentation, and high-touch technical support; identify recurring user needs and feedback to improve tools, support models, and adoption pathways.
• Collaborate 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.

What This Job Offers

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