University, 2026 Fall Technologist Intern

About the Role

The Fall Advanced Technology Internship program is a part-time opportunity for highly technical STEM students focused on developing breakthrough solutions in AI, Autonomous Systems, Edge, or Simulation. This role involves performing creative and innovative internal R&D work of the highest caliber to solve complex client problems. Interns will develop technical skills and professional business best practices, receive mentorship from senior leaders, and collaborate in a team environment.

Key Responsibilities

• Conducting creative and innovative internal R&D work.
• Developing breakthrough solutions in AI, Autonomous Systems, Edge, or Simulation.
• Solving pressing, complex, and multidimensional client problems.
• Developing valuable technical skills.
• Gaining an understanding of professional business best practices.
• Receiving mentorship from senior leaders.
• Solving problems using Booz Allen’s products and unique engagement models.
• Leveraging the power of collaboration in a team environment.

Requirements & Tech Stack

• Experience with programming languages: Python, Java, C, C++, JavaScript, Assembly, Perl, R, or Bash.
• Experience in object-oriented programming.
• Experience in AI/ML, autonomous systems, edge systems, modeling and simulation, or graphics immersion (e.g., AR/VR).
• Experience with conducting research and writing software.
• Ability to produce technical documentation.
• Ability to create design artifacts.
• Ability to display exceptional work ethic, drive, and motivation.
• Ability to work independently and in teams.
• Ability to obtain a Secret clearance.

Qualifications

• Scheduled to obtain a Bachelor’s degree in a Science, Technology, Engineering, or Mathematics field by Summer 2028.

Nice to Have

• Experience building Agentic AI systems leveraging Model Context Protocol (MCP) and Agent-to-Agent Protocols (A2A) in relevant frameworks such as AWS Bedrock AgentCore.
• Experience building Generative AI systems leveraging LLMs for Retrieval Augmented Generation (RAG).
• Experience building robotics and autonomous systems including associated software stacks such as reinforcement learning, ROS, computer vision, computer networking (including TCP/IP), external sensor data streams, and world models.
• Experience working with computer hardware including GPUs, Arduinos, Raspberry Pis, external sensors, and networking.
• Experience building immersive simulation applications involving digital twins and high-fidelity 3D graphics utilizing tools such as Unity, Unreal Engine, Blender, Maya, or NVIDIA Omniverse.
• Possession of excellent critical thinking and analytical skills.
• Possession of excellent verbal and written communication skills.

The projected compensation range for this position is $55,200.00 to $126,000.00 (annualized USD).