Intermediate AI Solutions Architect

The Mitre Corporation • San Diego, CA

13d • $97,600 - $146,400 • Hybrid

About The Position

MITRE's AI and Mission Enablement Department within the Mission Computing Division is seeking an Intermediate AI Solutions Architect to serve as a technical individual contributor within AI Enablement. The role applies established methods and solution patterns to develop and integrate AI-enabled applications, workflows, and data connections for mission users, contributing to team delivery and adoption with guidance from more senior staff as needed.

AI and Mission Enablement makes MITRE's AI and mission platform investments practical for mission work by supporting approved tools, workflows, reusable patterns, data integrations, development environments, experimentation, and technical support. The department works with platform teams, mission users, laboratories, Enterprise Technology, Information Security Services, and AI communities to help capabilities be discovered, integrated, taught, supported, and scaled across approved data and security environments.

Requirements

• At least 2 years of related experience with a bachelor's degree; or a master's degree in computer science, artificial intelligence, machine learning, data science, software engineering, systems engineering, or a related technical field; 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 within one year of hire; U.S. citizenship is required for security-clearance eligibility.
• Experience developing, integrating, testing, or supporting applied AI solutions, AI/ML workflows, AI-enabled applications, software services, data integrations, developer environments, or related technical solutions.
• Working technical knowledge of applied AI, AI/ML workflows, LLM APIs, software services, data infrastructure, or developer tooling sufficient to complete standard individual and team assignments using established approaches.
• Experience translating defined user or project needs into technical components, prototypes, workflows, integrations, documentation, or user guidance; ability to analyze possible solutions to routine technical problems.
• Ability to manage assigned work, exercise judgment within established guidelines, seek guidance when needed, communicate complex technical information in routine situations, and build productive relationships with technical and nontechnical collaborators.
• Ability to work a hybrid schedule with a minimum on-site presence of 3 days per week.

Nice To Haves

• Graduate degree in computer science, artificial intelligence, machine learning, data science, software engineering, systems engineering, or a related technical field.
• Hands-on experience with LLM APIs, enterprise AI platforms, agentic tools, Model Context Protocol (MCP) services, retrieval-enabled systems, AI application development, or AI-enabled developer experiences.
• Experience prototyping, integrating, testing, or documenting AI applications, agentic workflows, retrieval solutions, reusable prompts, starter kits, or development-environment templates.
• Experience helping users adopt software or AI tools through demonstrations, training, tutorials, office hours, user support, or hands-on experimentation.
• Experience connecting AI capabilities to software delivery, DevSecOps, data platforms, analytics, knowledge management, or mission workflows; familiarity with containers, Kubernetes, MLOps, or LLMOps.
• Experience working in on-premises, hybrid, cloud, or controlled computing environments and following established security, access-control, and data-handling requirements.
• Experience with data intake, preparation, curation, retrieval, governance, or secure data workflows that support AI applications or analytics.
• Experience contributing reusable technical patterns, setup guidance, evaluation tests, support documentation, or informal knowledge transfer to help team members and users apply approved capabilities.
• Active Secret clearance.

Responsibilities

• Engage technical and mission users to clarify objectives, workflows, data needs, security constraints, and adoption challenges; translate defined needs into prototypes, integration tasks, and implementation guidance.
• Develop, integrate, test, and document AI-enabled applications and workflows using approved tools, services, APIs, agents, retrieval approaches, data sources, and developer environments; apply existing architecture patterns and seek review when needed.
• Support secure, responsible, and repeatable AI use in mission, engineering, analytic, and software-development workflows by applying established onboarding, evaluation, data-handling, and support procedures.
• Analyze routine technical problems using technical experience, judgment, and established precedents; troubleshoot integration issues, document tradeoffs, and escalate unfamiliar or complex risks.
• Adapt and improve existing AI workflows, prompt patterns, agentic components, starter kits, data integrations, and development templates; contribute tested examples and technical guidance to shared enablement resources.
• Deliver routine demonstrations, training, office hours, and technical support for approved AI capabilities; explain technical information, resolve common user issues, and recommend improvements based on recurring feedback.
• Collaborate with mission users, AI communities, platform teams, security stakeholders, and engineering teams to complete defined work; expand knowledge of MITRE capabilities and processes and provide informal guidance to new or junior team members.

What This Job Offers

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