AI Solutions Architect Intern

The Mitre Corporation • San Diego, CA

7d • $46,500 - $69,500 • Hybrid

About The Position

MITRE's AI and Mission Enablement Department within the Mission Computing Division is seeking an intern currently pursuing a Bachelor's degree. Working with a technical mentor and more senior staff, the intern will gain hands-on experience helping mission teams use approved AI tools, APIs, data workflows, and development environments. The intern will contribute to a scoped project through guided experimentation, implementation, testing, and documentation while learning how usable, secure, and responsible AI solutions are developed.

AI and Mission Enablement helps make MITRE's AI and mission platform investments practical for mission work by providing paths to 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

• Currently enrolled in and pursuing a Bachelor's degree in computer science, artificial intelligence, machine learning, data science, software engineering, systems engineering, or a related technical field.
• Must continue to be enrolled the semester following the internship.
• Must be eligible to obtain a Secret U.S. Government-issued security clearance if required for the assigned work; U.S. citizenship is required to be considered for a security clearance.
• Basic programming knowledge demonstrated through introductory coursework, academic or personal projects, or other learning experiences; ability to read, write, and test a small program or script in Python or another programming language.
• Interest in applied AI and learning how AI tools, APIs, software, and data can support practical user needs.
• Ability to follow written instructions, apply basic analytical skills to a defined task, document what was tried and observed, and seek guidance when a problem or requirement is unclear.
• Ability to work collaboratively, ask questions, communicate progress clearly, receive and apply feedback, and take responsibility for assigned learning and project tasks with mentor support.
• Ability to work the agreed internship schedule with a minimum on-site presence of 3 days per week.

Nice To Haves

• Completed or ongoing coursework in artificial intelligence, machine learning, data science, algorithms, databases, software engineering, or human-centered computing.
• Exposure to AI assistants, LLM tools or APIs, prompt development, or AI-assisted software development through coursework, personal exploration, or student projects.
• A class, personal, or team project involving a small application, API integration, chatbot, data analysis, or AI/ML prototype, with interest in explaining how it works.

Responsibilities

• Participate in discussions with technical and mission users alongside a mentor; ask questions, confirm understanding, and help document workflow needs, user questions, and project objectives.
• Build or adapt small prototype components, scripts, prompt examples, or API integrations using approved AI tools, sample code, and development environments under the direction of more senior staff.
• Learn and follow established security, data-handling, and responsible-AI practices; use approved tools and data, recognize AI-output limitations, and seek guidance before taking unfamiliar actions.
• Run defined tests and experiments, compare outputs against mentor-provided criteria, and document results and limitations; use existing guidance to troubleshoot basic issues and ask for help when needed.
• Contribute to starter kits, reusable examples, setup instructions, and project documentation so teammates can understand and reproduce the intern's work; incorporate feedback from technical reviews.
• Assist with demonstrations, tutorials, hands-on learning activities, and routine user-support tasks alongside experienced staff; capture questions and feedback for the team to review.
• Work with a mentor to set learning goals and complete a defined project; communicate progress, apply feedback, collaborate with teammates, and present the project's results and lessons learned at the end of the internship.

What This Job Offers

• Career Level: Intern