AI is no longer just a research concept – it’s becoming an essential part of how complex enterprises operate, compete, and deliver value at Booz Allen
Requirements
- 5+ years of experience in software engineering with exposure to production-scale AI or ML-enabled applications
- Experience integrating LLMs or multimodal models into user-facing applications or workflow tools
- Experience with RAG systems using vector databases, including Pinecone, Weaviate, ChromaDB, or FAISS, and embedding models
- Experience with backend engineering in Python
- Knowledge of APIs, cloud functions, and deployment pipelines
- Experience building or supporting AI agents, including using frameworks such as LangChain, LlamaIndex, or CrewAI
- 2+ years of experience working with modern AI capabilities in machine learning, including deep learning and LLM frameworks
Responsibilities
- architect, build, and deploy intelligent, agentic solutions that work across legacy infrastructure, modern platforms, and stakeholder needs
- design AI-enabled systems that solve meaningful problems across enterprise and mission environments
- integrate LLMs or multimodal models into user-facing applications or workflow tools
- build or support AI agents, including using frameworks such as LangChain, LlamaIndex, or CrewAI
- write and optimize prompts, chains, and tool integrations to improve LLM performance in real-world use cases
- work with backend engineering in Python
- contribute to high-impact efforts that demand both technical skill and strategic insight
Other
- Ability to work in cross-functional teams and collaborate with data scientists, platform engineers, UX designers, and security stakeholders
- Ability to obtain a Secret clearance
- Bachelor’s degree
- 2+ years of experience integrating with third-party platforms, including Salesforce and ServiceNow
- Bachelor’s degree in Computer Science, Engineering, or a related field preferred; Master’s degree a plus
