Job Number: R0249306 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.
What You'll Work On:- 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.
CompensationAt 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 basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity StatementAs part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage PolicyAI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on
your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited
unless permission is explicitly provided.
Work ModelOur people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
- Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
- Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
- Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.
Commitment to Non-DiscriminationAll qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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