Agentic AI Engineer

Phase2 Technology; Bethesda (MD); On-site; USD 99,000 - 225,000; Full time

Job summary

Booz Allen Hamilton is seeking an Agentic AI Engineer to design, build, and deploy autonomous multi-agent systems. You will leverage LangChain, MCP/A2A, and KG/RAG techniques to enhance reasoning and collaboration. The role targets edge-optimized LLMs/SLMs and requires security clearance readiness.

The team emphasizes production-grade reliability, testing, and integration of advanced AI tooling across on-prem and cloud environments. Join us to advance proactive AI strategy.

Qualifications

• Minimum 5+ years of software development experience.
• 3+ years in GenAI/LLMs and agentic workflows.
• 3+ years with LangChain, LangGraph, AutoGen or LlamaIndex.
• Experience with MCP for tool integration and A2A for collaboration.
• Experience with RAG architecture and knowledge graphs (Neo4j, NebulaGraph).
• Experience fine-tuning LLMs/SLMs (HuggingFace, PEFT, LoRA).
• Knowledge of modern software patterns including microservices and edge computing.
• Ability to obtain a Secret clearance.
• Bachelor's degree in CS or AI.

Responsibilities

• Design intelligent agent architectures that can reason, plan, and take actions.
• Develop multi-agent systems using MCP and A2A protocols for communication and collaboration.
• Build RAG pipelines and integrate with Knowledge Graphs to improve context retention.
• Fine-tune SLMs/LLMs for edge deployment (ONNX/GGML/Ollama).
• Develop evaluation frameworks for reliability, safety, and performance including ReAct loops.

Skills

Software development

GenAI & LLMs

LangChain/LangGraph

AutoGen/LlamaIndex

MCP & A2A protocols

RAG & Knowledge Graphs

LLM fine-tuning

Edge computing

Clearance eligibility

Education

Bachelor's degree in CS or AI

Tools

LangChain

LangGraph

AutoGen

LlamaIndex

Neo4j

Job description

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, 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

• 5+ years of experience in software development
• 3+ years of experience with GenAI, LLMs, and agentic workflows
• 3+ years of experience with LangChain, LangGraph, AutoGen, or LlamaIndex
• Experience with MCP for tool integration and A2A for agent-to-agent collaboration
• Experience with RAG architecture and KG, including Neo4j or NebulaGraph
• Experience fine-tuning LLMs or SLMs using Hugging Face, PEFT, or LoRA
• Knowledge of modern software design patterns, including microservice design or edge computing
• Ability to obtain a Secret clearance
• Bachelor's degree in a CS or AI field

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
• 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.

Compensation

At Booz Allen, we celebrate your contributions, provide 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 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. To learn more, visit the Resource page on our Careers site and review Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including location, education, knowledge, skills, competencies, experience, contract-specific affordability, and organizational requirements. The projected compensation range is $99,000 to $225,000 (annualized USD). This posting will close within 90 days from the Posting Date.

Identity Statement

As 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 Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. The use of artificial intelligence (AI) or other tools to assist with responses during interviews is prohibited unless permission is explicitly provided.

Work Model

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

• Remote: There may be occasions when you are required to work in person at a Booz Allen or customer facility.
• 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: 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-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, veteran status, or any other status protected by applicable law.