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Department Summary:Mission Computing, L080, is a new division being established to accelerate how MITRE turns technical possibility into mission capability. We're bringing together supercomputing, AI services, secure lab and cloud infrastructure, and modern engineering tooling, all organized as a front-line function that shapes how teams across MITRE build, experiment, and deliver. The AI and Mission Enablement department is the applied AI and services adoption arm of Mission Computing. Its role is to make MITRE's AI and mission platform investments practical for mission work: giving staff usable paths to approved tools, workflows, reusable patterns, data integrations, development environments, hands-on experimentation, and high-touch technical support. The department helps teams move beyond isolated experiments into secure, repeatable ways of using platforms and computing environments in all aspects of their work.
As Mission Computing stands up, AI and Mission Enablement will sit between infrastructure and practice. The department will work with platform teams, mission users, laboratories, Enterprise Technology, Information Security Services, and AI communities across MITRE to standardize how capabilities are discovered, integrated, taught, supported, and scaled across approved data and security environments. Its work is to make AI and platforms easier to learn, easier to trust, easier to connect to MITRE workflows, and easier to apply responsibly to mission problems. AI Enablement is the group that turns platforms, APIs, agents, data workflows, secure compute, and developer experiences into a working foundation for a mission-focused MITRE.
Roles & Responsibilities:MITRE's AI and Mission Enablement Department within the Mission Computing Division is seeking a Senior AI Solutions Architect to serve as a senior technical individual contributor within AI Enablement. The Senior AI Solutions Architect will independently design and deliver usable paths to approved AI tools, agentic workflows, reusable patterns, data integrations, and AI-enabled development environments while helping mission teams move beyond isolated experiments into secure, supported, and repeatable AI use. Roles and responsibilities include:
- 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.
Basic Qualifications:- 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; or equivalent combination of related education and work experience.
- Must be eligible to obtain and maintain a Secret U.S Government issued Security Clearance.
- 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 a minimum of 3 days per-week on-site presence in McLean, VA or Bedford, MA and travel up to 5%.
Preferred Qualifications:- 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.
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:$143,600 - $179,500 - $215,400 Annual
Work Location Type:Onsite
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Commitment to Non-DiscriminationAll 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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