Lead AI Solutions Architect

The Mitre Corporation • New Bedford, MA

4h • $174,000 - $261,000 • Onsite

About The Position

MITRE’s AI and Mission Enablement Department within the Mission Computing Division is seeking a lead-level technical individual contributor to turn approved AI platforms, APIs, agents, data workflows, secure computing environments, and developer experiences into practical, repeatable mission solutions. The role provides technical direction for complex, cross-functional efforts and helps teams adopt AI capabilities responsibly and at scale.

The position leads discovery and architecture engagements, develops executable solution strategies, evaluates technical approaches, and establishes reusable AI workflows and enablement practices. It guides multidisciplinary contributors without formal supervisory authority and advises mission users, project leaders, platform teams, security stakeholders, and senior technical leaders. The role also supports capability discovery, onboarding, training, experimentation, technical support, architecture review, mentoring, and transition from prototypes to supported use.

The position requires a minimum of three days per week onsite in McLean, Virginia, or Bedford, Massachusetts, and travel up to 5%. The successful candidate must be eligible to obtain and maintain a Secret U.S. Government security clearance; U.S. citizenship is required for clearance eligibility. The requisition states that the hired candidate must obtain Secret clearance within one year of hire.

Requirements

• At least 8 years of related experience with a bachelor’s degree; or 6 years with a master’s degree; or a Ph.D. with 3 years of experience; or an equivalent combination of related education and work experience.
• Extensive experience in applied AI, AI/ML workflows, AI-enabled applications, software engineering, data platforms, developer services, platform engineering, research computing, mission computing, or related technical domains, with working knowledge of related disciplines.
• Experience leading functional teams, technical workstreams, or complex projects with moderate resource requirements, risks, dependencies, or organizational complexity, and guiding execution without formal people-management authority.
• Experience translating ambiguous user, project, or mission needs into executable AI solution architectures, reusable technical services, workflows, patterns, prototypes, data integrations, enablement models, implementation plans, or adoption roadmaps.
• Ability to work independently with guidance only in the most complex situations, lead others in solving complex technical problems, communicate complex concepts clearly, build consensus, and influence technical users, project leaders, platform teams, security or compliance stakeholders, and senior leadership.
• Must be eligible to obtain and maintain a Secret U.S. Government-issued security clearance; U.S. citizenship is required for clearance eligibility.
• Ability to work onsite at least three 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 leading complex, customer-facing AI enablement, AI solution architecture, capability-adoption, technical-consulting, or platform-integration efforts involving multiple organizations, technical disciplines, or stakeholder communities.
• 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.
• Experience leading design, integration, and operationalization of AI capabilities across software delivery, DevSecOps, data platforms, analytics, modeling and simulation, systems engineering, knowledge management, or mission workflow platforms.
• Experience leading AI workloads or solution architectures across on-premises, hybrid, cloud, CUI-capable, classified-adjacent, or other controlled computing environments.
• Experience establishing secure and repeatable approaches for data intake, curation, exchange, governance, retrieval, AI data pipelines, or other mission AI data workflows.
• Experience establishing or improving AI training, coaching, internal enablement programs, communities of practice, office hours, rapid prototyping events, VibeLab-style challenges, hands-on experimentation, or related adoption mechanisms.
• Experience establishing reusable AI patterns, technical standards, architecture-review practices, starter kits, development templates, enablement playbooks, quality practices, or support models and transferring those practices to other technical staff.
• Active Secret or higher Security Clearance.

Responsibilities

• Lead discovery and solution-architecture engagements for complex, ambiguous, or cross-cutting mission needs; define objectives, scope, success measures, decision criteria, and paths from experimentation through implementation and adoption.
• Develop and lead solution strategies and executable architectures integrating AI applications, agentic workflows, retrieval-enabled systems, approved data sources, secure computing environments, developer tooling, platform services, and mission workflows.
• Direct technical evaluations and trade studies; synthesize information, identify risks and dependencies, and recommend practical, secure, supported, responsible, and repeatable approaches to AI use.
• Lead functional teams, technical workstreams, or complex projects by setting technical strategies and objectives and guiding multidisciplinary contributors without formal supervisory authority.
• Establish and promote reusable AI workflows, prompt patterns, agentic components, starter kits, development-environment templates, data-integration approaches, technical standards, quality practices, and support models.
• Improve AI enablement practices, including capability discovery, intake, experimentation, onboarding, training, office hours, technical support, feedback loops, and transition from prototypes to supported use.
• Advise mission users, project leaders, platform teams, security stakeholders, and senior technical leaders on AI alternatives, constraints, sequencing, resource needs, and long-term implications.
• Provide architecture review, mentoring, knowledge transfer, and cross-MITRE collaboration.

Benefits

• Competitive benefits
• Meaningful career development

What This Job Offers

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