Agentic AI Engineer

Job Number: R0240863

About the role

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.

Responsibilities

• 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

Requirements

• 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
• Experience with 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 (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

Qualifications

• 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
• Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information

Benefits

Health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Recognition awards program acknowledges employees for exceptional performance and superior demonstration of values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in benefit programs.

Pay

The projected compensation range for this position is $112,800.00 to $257,000.00 (annualized USD). Salary is determined by various factors including location, education, knowledge, skills, competencies, experience, contract-specific affordability, and organizational requirements.

Schedule

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 or customer facility, in alignment with your leadership's expectations and the needs of the role. Onsite: If this position is listed as onsite, work will primarily be performed full-time at a customer facility. Employees working virtually are generally expected to have their cameras on during meetings.