AI Software Developer Intern

Booz Allen Hamilton•San Diego, CA

7d•Onsite

About The Position

Are you a current student looking to apply your technical skills to real-world cybersecurity and mission challenges supporting Navy efforts in the San Diego region? Join our team for a hands-on learning experience where you'll work alongside experienced engineers and cybersecurity specialists on meaningful projects that directly support fleet and ashore operations. This internship is designed for students pursuing degrees in computer science, cybersecurity, or related technical fields who want to gain practical experience in software development, integration, and AI-enabled automation within a mission-focused, secure environment. You'll contribute to real client work while receiving mentorship and building skills that matter in government technology consulting. This is a role designed to support our team throughout the academic year as you complete your degree. The structure allows you to balance meaningful client work with your academic commitments. You'll be part of a team that values curiosity, clear communication, and the ability to learn quickly in dynamic problem spaces. This role is located in San Diego, CA. Join us. The world can't wait.

Requirements

Experience writing and debugging code in languages such as Python in professional, personal, or academic environments
Experience with fundamental programming concepts, including data structures, control flow, functions, and basic debugging
Experience with version control using Git in professional, personal, or academic environments
Ability to display curiosity and willingness to learn in ambiguous, mission-driven environments
Ability to communicate technical concepts clearly in writing and verbally
Ability to obtain a Secret clearance
Scheduled to obtain a Bachelor's degree in Computer Science, Computer Engineering, Cybersecurity, Information Systems, or a STEM field by Summer 2027

Nice To Haves

Experience in software development, data science, or cybersecurity in professional or academic environments
Experience with REST APIs, web services, or system integration in professional or academic environments
Experience with AI / ML concepts, frameworks such as scikit-learn, TensorFlow, or PyTorch, or LLM tools
Experience with cloud platforms, such as AWS, Azure, or GCP, or containerization such as Docker
Experience with cybersecurity, networking, or federal IT systems in professional or academic environments
Experience with Agile or collaborative software development practices