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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI Solutions Architect - **Company:** MITRE Corporation - **Location:** Bedford, MA, United States - **Experience:** Expert - **Salary:** $143,600.0 - $179,500.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Systems Engineering, Cloud Computing, Cyber Security, Data Infrastructure, Data Integration, Data Security, Programming Tools, Knowledge Management, Machine Learning, Rapid Prototyping Process, Software Engineering, Systems Integration, Graphics Processing Unit (GPU), Enterprise Software Applications, Large Language Models, Agentic-AI, AI Platforms, Kubernetes, Information Technology, Modeling and Simulation, Data Management, Machine Learning Operations, Intelligent Document Processing, Data Pipelines, Automation Anywhere, Devsecops - **Published:** October 16, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9244892/senior-ai-solutions-architect ## About the Role * 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. Per the U.S. Government's eligibility requirements, you must be a U.S Citizen to be considered for a 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%., * 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. ## Description 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.