AI Engineer

The Opportunity: As an AI Engineer, you will integrate AI-enabled capabilities into existing software systems by connecting models, inference endpoints, agent orchestration components, and intelligent autonomous workflows to production applications.

You will implement AI features using established software engineering patterns, ensuring these capabilities operate reliably, securely, and efficiently within distributed systems.

In this role, you will help evolve AI solutions from traditional LLM-based interactions to autonomous, goal-oriented, and multi-agent systems by leveraging agent orchestration frameworks, Retrieval-Augmented Generation (RAG), Knowledge Graphs (KGs), and fine-tuned Small Language Models (SLMs).

You will contribute to evaluation and monitoring approaches, refine integration workflows, collaborate with cross-functional teams, and develop scalable AI functionality that brings intelligent, production-ready AI solutions from concept into real-world environments.

Join us. The world can't wait. You Have: 3+ years of experience developing and maintaining production software systems in Python Experience designing and implementing intelligent AI agent architectures using LangChain, LangGraph, AutoGen, MCP, and A2A Experience building RAG solutions with KGs and fine-tuning SLMs using ONNX, GGML, or Ollama Experience integrating LLMs, external APIs, and distributed services into production environments with optimized inference workflows Experience developing AI evaluation frameworks, integration tests, and production validation using ReAct and human-in-the-loop methodologies Knowledge of secure HTTP APIs, OAuth2, JWT, API Keys, containerization, and CI/CD pipelines Ability to travel up to 25% of the time TS/SCI clearance Bachelor's degree in CS, Engineering, or Data Science DoD 8140 baseline Level II Certification such as Security+, CySA+, CISSP, or DoD Cyber Workforce Framework Certification Nice If You Have: Experience supporting DoW clients or other federal mission environments Experience with advanced agentic patterns, including prompt caching, guardrails, agentic memory, Model Context Protocol (MCP), and agentic deployment strategies Experience with end-to-end chatbot or agent to agent (A2A) development Experience with enterprise data and ML platforms such as Databricks or Snowflake Experience creating and managing large data processing pipelines Master's degree Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.

The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees.