Agentic AI Engineer

Agentic AI Engineer

Job Number: R0252012

Location: Alexandria, VA, US

Additional Locations:

• Annapolis Junction, Maryland, USA

Work Model: Hybrid

The Opportunity

We are looking for a highly skilled Agentic AI Engineer to join our team specializing in building autonomous, goal-oriented AI systems. You will play a crucial 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 (KG), 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.

Required Experience

• 2+ years of experience in software 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 software 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 software design patterns, including microservice design or edge computing
• Ability to adapt in a rapidly changing environment and navigate ambiguity
• Top Secret clearance
• Bachelor's degree

Nice to 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
• Excellent verbal and written communication skills for client engagements, client-facing project work, and business development
• Master's degree in 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. Top Secret clearance is required.

Compensation

Salary Range: $77,600.00 to $176,000.00 (annualized USD)

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.

Benefits: Health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. 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.

Posting Timeline: This posting will close within 90 days from the Posting Date.

Work Model Details

Hybrid: You will be expected to work from a Booz Allen or customer facility, in alignment with your leadership's expectations and the needs of the role. 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.

Our people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

Identity Verification and Candidate AI Usage

As part of the hiring process, you will be asked 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. Booz Allen reserves the right to take your picture to verify your identity and prevent fraud.

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.

Equal Opportunity

All 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.

Applicants who need a reasonable accommodation for any part of the application, hiring, or employment process because of a disability, a sincerely held religious belief, practice, or observance, or as otherwise required by applicable law should contact the Booz Allen Help Desk by calling 1-877-927-8278 or sending an email to helpdesk@bah.com.

About Booz Allen

Booz Allen is an advanced technology company. We build commercial-grade products and solutions for America's most critical defense, civil, and national security priorities.