Associate AI Solutions Architect

The Mitre Corporation • San Diego, CA

8d • $97,600 - $146,400 • Hybrid

About The Position

MITRE's Mission Computing division is being established to accelerate the transformation of technical possibilities into mission capabilities. This new division integrates supercomputing, AI services, secure lab and cloud infrastructure, and modern engineering tooling. The AI and Mission Enablement department, within Mission Computing, focuses on making AI and mission platform investments practical for mission work. This includes providing staff with usable paths to approved tools, workflows, reusable patterns, data integrations, development environments, hands-on experimentation, and high-touch technical support. The department aims to help teams move beyond isolated experiments into secure, repeatable methods of using platforms and computing environments across all aspects of their work. AI Enablement acts as a bridge between infrastructure and practice, collaborating with platform teams, mission users, laboratories, Enterprise Technology, Information Security Services, and AI communities to standardize the discovery, integration, teaching, support, and scaling of capabilities within approved data and security environments. The goal is to make AI and platforms easier to learn, trust, connect to MITRE workflows, and apply responsibly to mission problems, ultimately creating a working foundation for a mission-centric MITRE.

Requirements

• Bachelor's degree in computer science, artificial intelligence, machine learning, data science, software engineering, systems engineering, or a related technical field; or equivalent combination of related education and work experience.
• No prior full-time professional experience is required.
• Must be eligible to obtain and maintain a Secret U.S Government issued Security Clearance within one year of hire.
• Per the U.S. Government's eligibility requirements, you must be a U.S Citizen to be considered for a security clearance.
• Foundational knowledge of programming, software development, data handling, and AI/ML concepts, demonstrated through coursework, academic or personal projects, internships, research, or related work experience.
• Basic technical knowledge of applied AI, AI/ML workflows, LLM tools or APIs, software services, or developer environments, with the ability to learn approved tools and apply established practices to assigned work.
• Ability to implement and test a defined technical task, document results, and use existing examples or procedures to solve basic problems with guidance from more senior staff.
• Ability to receive and apply feedback, ask questions and check understanding, communicate technical information and progress clearly, and collaborate effectively with team members and users.
• Ability to work a hybrid schedule with a minimum on-site presence of 3 days per-week.

Nice To Haves

• Coursework, projects, internships, or research in applied AI, machine learning, or a related area.
• Exposure to LLM APIs, enterprise AI tools, agentic workflows, retrieval-enabled systems, or AI-assisted software development through academic, personal, internship, or work projects.
• Hands-on practice building or testing an AI-enabled application, prompt workflow, API integration, retrieval prototype, or data-processing component using Python or another programming language.
• Experience explaining technical concepts, demonstrating a tool, preparing tutorials, tutoring, or helping peers learn software or AI capabilities.
• Familiarity with version control, automated testing, containers, cloud services, or software delivery practices through coursework or project work.
• Awareness of access controls, data sensitivity, secure computing practices, and the importance of using approved AI tools and environments.
• Experience preparing, cleaning, organizing, or retrieving data for analysis or AI projects, with attention to quality and appropriate data handling.
• Experience creating clear README files, setup instructions, reusable examples, or test cases that help others understand and reproduce technical work.
• Active Secret clearance.

Responsibilities

• Support technical and mission-user discussions by asking questions, confirming understanding, and documenting objectives, workflows, data needs, and constraints for review by more senior staff.
• Implement, test, and document defined components of AI-enabled applications and workflows using approved tools, APIs, data sources, development environments, and existing solution patterns with guidance from more senior staff.
• Follow established security, data-handling, and responsible-AI procedures when using approved capabilities; document results and limitations and refer questions or issues to the appropriate team member.
• Use established procedures and basic analytical skills to troubleshoot simple application, API, data, or environment issues; record findings and seek assistance when a problem exceeds the assigned scope.
• Adapt existing prompt examples, starter kits, workflow components, and development templates for assigned use cases; maintain clear setup instructions and reproducible examples for review and reuse.
• Assist with demonstrations, training materials, office hours, hands-on experimentation, and routine user support; capture user questions and feedback to help the team improve its guidance.
• Build working relationships with AI Enablement colleagues, mission users, and supporting platform and security teams; complete assigned tasks, communicate progress, and develop knowledge of MITRE capabilities and processes.

Benefits

• competitive benefits
• meaningful career development

What This Job Offers

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