Agentic AI Engineer

Booz Allen Hamilton • McLean, VA

23h • $112,800 - $257,000

About The Position

As an Agentic AI Engineer, you will design and build agentic AI solutions for production deployment and enterprise-scale use, with emphasis on secure operation in demanding mission contexts. You will lead and energize a development team adopting new tools and techniques, translating multi-agent orchestration, advanced retrieval-augmented generation (RAG), and edge-deployed models into practical client solutions. The role focuses on taking AI capabilities from prototype to production and integrating them into enterprise operations.

Requirements

• At least 6 years of experience in software development.
• At least 3 years of experience working in cloud environments, including AWS and Azure.
• Experience evaluating architectural tradeoffs and designing robust, scalable, service-based software applications.
• Experience using LangChain, LangGraph, AutoGen, PydanticAI, CrewAI, or LlamaIndex.
• Experience with MCP for tool integration, A2A for collaboration, RAG architecture, knowledge graphs, and memory architectures for long-running agents, including episodic, semantic, and working memory patterns.
• Experience with agent benchmarking frameworks such as GAIA, SWE-bench, or custom evaluation 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 and support business-process adoption.
• Ability to adapt in a rapidly changing environment and navigate ambiguity.
• Ability to obtain a Secret clearance.
• Bachelor’s degree in Computer Science or Computer Engineering.

Nice To Haves

• Experience deploying agentic systems in a production environment.
• Experience deploying agents on edge devices such as Android or using local models.
• Experience integrating coding agents such as Cursor or Windsurf into an efficient development pipeline with measured results.
• Programming experience with ML frameworks or tools such as TensorFlow, PyTorch, llama.cpp, and vLLM.
• Experience engineering AI capabilities in on-premises or multi-classification environments.
• Excellent verbal and written communication skills for client engagements, client-facing project work, and business development.

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 to improve reasoning accuracy and context retention.
• Fine-tune Small Language Models for specific domains and optimize them for edge-device performance.
• Lead and energize a development team using new tools and techniques.

Benefits

• Health, life, disability, financial, and retirement benefits.
• Paid leave.
• Professional development.
• Tuition assistance.
• Work-life programs.
• Dependent care.
• Recognition awards for exceptional performance and demonstration of company values.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior