Agentic AI Engineer

Agentic AI Engineer The Opportunity : We are looking for a highly skilled Agentic AI Engineer to join our team spe cia lizing in building autonomous, goal-oriented AI systems. You will play a cru cia l role in shifting our AI strategy from passive LLM chatbots to proactive, multi-agent orchestrations. In this role, you will utilize deep  experience  in agent orchestration frameworks, RAG,  knowledge  graphs, and fine-tuning Small Language Models  ( SLMs )  for edge deployment.

Design and implement intelligent agent architectures that can reason, plan, and take actions using LangChain, LangGraph, and AutoGen. Develop and deploy multi-agent systems using Model Context Protocol ( MCP ) and Agent-to-Agent  ( A2A )  protocols to facilitate communication, tool usage, and collaborative task solving. Build advanced RAG pipelines integrating unstructured data with Knowledge Graphs  ( KG )  to enhance reasoning accuracy and context retention. Fine-tune SLMs for specific domains and optimize them for edge device performance, including ONNX, GGML, or Ollama. Develop evaluation frameworks to test agent reliability, safety, and performance, moving from prototype to production, including ReAct loops and human-in-the-loop. Join us. The world can’t wait. You Have: 2+ years of  experience  in  sof t war e development 2+ years of  experience  as an ML engineer building production-grade ML solutions using tools such as Docker or Kubernetes, including, GenAI, LLMs, DL, RL, AI agents, agentic workflows, or complex automation frameworks 2+ years of  experience  with LangChain, LangGraph, AutoGen, PydanticAI, CrewAI, or LlamaIndex 2+ years of  experience  working in cloud environments, including AWS and Azure and evaluating architectural tradeoffs and designing robust service-based  sof t war e applications for scalable use Experience  with MCP for tool integration and A2A for agent-to-agent collaboration and with RAG architecture and KG, including Neo4j or NebulaGraph Experience  fine-tuning LLMs or SLMs using Hugging Face, PEFT, or LoRA, evaluating LLM performance and behavior through evaluations, and building observation layers for stakeholders, including Grafana, Langfuse, LangSmith, or Phoenix Knowledge  of modern  sof t war e design patterns, including microservice design or edge computing Ability to  adapt in a rapidly changing environment and navigate ambiguity TS/SCI clearance with a polygraph Bachelor’s degree  Nice If You Have: Experience  deploying agentic systems in a production environment Experience  deploying agents on edge devices such as Android or local models Experience  integrating coding agents such as Cursor or Windsurf into an efficient development pipeline with measured results Experience  with programming, including ML frameworks such as TensorFlow, PyTorch, llama.cpp, and vLLM Experience  engineering AI capabilities in on‑premise or multi‑classification environments Possession of excellent verbal and written communication skills for client e nga gements, client-facing project work, and business development Master’s degree  in a CS or AI field preferred ;   Doctorate degree  in CS or Statistics a plus Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information ; TS/SCI clearance with polygraph is required.

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular