Teams at Booz Allen Hamilton

Design and deploy rugged edge computing systems: integrate CPUs/GPUs/TPUs/FPGAs, optimize AI models for real-time inference, implement RTOS and zero-trust hardening, and deliver containerized, cloud-synced edge stacks for tactical environments.

Develop full-stack features for secure OPIR research and development systems. Build front-end interfaces, backend microservices, APIs, containerized services, cloud deployments, and DevSecOps automation. Integrate data, analytics, and ML pipelines into mission workflows while supporting legacy modernization. Participate in Agile ceremonies, code reviews, troubleshooting, user-centered design, and engineering improvements. The role requires an active TS/SCI clearance, STEM bachelor's degree, and at least four years of full-stack development experience.

Develop and deploy production-grade AI and machine learning capabilities for national security and OPIR missions. Responsibilities include signal-processing automation, data processing, model development, evaluation, MLOps workflows, GPU optimization, streaming-data integration, and scalable deployment in operational environments. The role involves collaboration with engineers, mission subject-matter experts, and product teams, with emphasis on AI agents, NLP, LLMs, computer vision, microservices, and classified cloud environments.