Agentic AI Engineer

Booz Allen Hamilton; McLean (VA); Hybrid; USD 113,000 - 257,000; Full time

Benefits offered by this job

Health

Life

Disability

Retirement benefits

Paid leave

Professional development

Tuition assistance

Work-life programs

Dependent care

Job summary

Booz Allen Hamilton seeks an Agentic AI Engineer to design and deploy agentic AI solutions at scale, integrating with enterprise systems and workflows. You will lead a development team, advancing multi-agent orchestration, RAG pipelines with knowledge graphs, and edge-optimized models.

You will work across cloud environments like AWS and Azure, apply modern software patterns, and bridge technical work with practical business processes, all while navigating a fast-changing landscape.

Qualifications

• 6+ years of software development experience
• 3+ years in cloud environments (AWS/Azure) with scalable service-based software experience
• Experience with MCP for tool integration and A2A for collaboration

Responsibilities

• Embed agentic AI capabilities into enterprise systems and workflows
• Design intelligent agent architectures that can reason, plan, and act
• Develop multi-agent systems using MCP and A2A protocols
• Build RAG pipelines with knowledge graphs for enhanced reasoning
• Fine-tune LLMs/SLMs and optimize for edge device performance

Skills

Software development

Cloud environments (AWS, Azure)

Agentic AI concepts

LLM fine-tuning

Memory architectures for agents

Multi-agent systems

Tool/Function calling patterns

Edge deployment optimization

Adaptability

Education

Bachelor's degree in CS or Computer Engineering

Tools

LangChain

LangGraph

AutoGen

PydanticAI

CrewAI

LlamaIndex

Job description

Agentic AI Engineer

The Opportunity: AI is moving fast and the most consequential work is happening at the intersection of autonomous systems and real-world enterprise operations. As an Agentic AI Engineer, you'll be at the front edge of that wave, designing and building cutting-edge agentic AI solutions that don't just demo well, but deploy into production, scale across enterprise environments, and operate securely in some of the most demanding mission contexts imaginable. You'll lead and energize a development team that thrives on new tools and techniques, turning emerging capabilities like multi-agent orchestration, advanced RAG pipelines, and edge-deployed models, into solutions that change how our clients operate. If you're driven by the challenge of taking AI from prototype to production and you want to do it on problems that matter, this is your role.

What You'll Work On

• Embed agentic AI capabilities into existing enterprise systems and operational workflows, including API integration, process automation, and end-user adoption.
• Design and implement intelligent agent architectures that can reason, plan, and take actions.
• Develop and deploy collaborative multi-agent systems using Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocols.
• Build advanced RAG pipelines integrating unstructured data with Knowledge Graphs (KG) to enhance reasoning accuracy and context retention.
• Fine-tune Small Language Models (SLMs) for specific domains and optimize them for edge device performance.

You Have

• 6+ years of experience in software development
• 3+ years of experience working in cloud environments, including AWS and Azure, evaluating architectural tradeoffs, designing robust service-based software applications for scalable use, and using LangChain, LangGraph, AutoGen, PydanticAI, CrewAI, or LlamaIndex
• Experience with MCP for tool integration, A2A for collaboration, RAG architecture and knowledge graphs, memory architectures for long-running agents such as episodic, semantic, and working memory patterns, and agent benchmarking frameworks such as GAIA, SWE-bench, or custom eval harnesses
• Experience with tool or function calling patterns across multiple LLM providers
• Experience fine-tuning LLMs or SLMs
• Knowledge of modern software design patterns, including microservice design or edge computing
• Ability to translate agentic AI capabilities into practical enterprise workflows, bridging the gap between technical implementation and business process adoption
• Ability to adapt in a rapidly changing environment and navigate ambiguity
• Ability to obtain a Secret clearance
• Bachelor's degree in CS or Computer Engineering

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-premises or multi-classification environments
• Possession of excellent verbal and written communication skills, for client engagements, client-facing project work, and business development

Benefits

• health
• life
• disability
• financial
• retirement benefits
• paid leave
• professional development
• tuition assistance
• work-life programs
• 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.
• Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits.

Salary and Compensation

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 $112,800.00 to $257,000.00 (annualized USD).

Posting

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. 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 Model

• 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-Discrimination

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.

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.

Know Your Rights Poster Accommodations

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 [e-mail]. We will review requests on an individualized basis and provide reasonable accommodations consistent with applicable law.

Data Privacy

For more information on how Booz Allen uses your information, please see our Careers Privacy Policy.