AI Solutions Architect Intern

Roles & 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 the limitations of AI outputs, 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.

Basic Qualifications

• 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 in learning how AI tools, APIs, software, and data can support practical user needs. Prior experience with enterprise AI platforms, cloud infrastructure, or production AI systems is not required.
• 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.

Preferred Qualifications

• 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; interest in explaining how it works.