AI Engineer
Role overview
We're looking for an AI Engineer to design, build, and operate production-grade AI systems at scale to own the full lifecycle of agentic applications and ML solutions, from data pipelines and model development to evaluation, observability, and performance optimization.
You'll own production AI/ML solutions end to end by building and deploying applications like multi-agent systems in cloud environments. You'll ensure systems are observable and performant, implementing tracing, metrics, and optimizing latency, caching, and retrieval, while designing and evaluating RAG pipelines, applying traditional ML where appropriate, and using AI-assisted coding tools to accelerate delivery.
Join us. The world can't wait.
Basic qualifications
- 3+ years of experience building production systems and applications, including AI/ML applications
- 2+ years of experience developing Generative AI applications using LLMs, RAG frameworks, and vector stores
- Experience designing and building APIs and services with FastAPI, Flask, or Node.js
- Experience working in cloud-native environments like AWS and Azure and developing scalable solutions with cloud services like Bedrock/AI Foundry, SageMaker/AI Studio, EKS/ECS, S3, IAM, CloudWatch
- Experience with agent orchestration frameworks, such as LangGraph and Strands, and tool or function calling patterns
- Experience implementing observability such as OpenTelemetry, Datadog, or CloudWatch and performance metrics pipelines with dashboards
- Experience using AI-assisted coding tools such as Copilot, Codex, and Claude Code for complex development tasks
- Experience deploying models, agents, or applications via CI/CD
- Ability to obtain a Secret clearance
- Bachelor's degree in CS, Engineering, or STEM field
Preferred qualifications
- 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 in creating and managing large data processing pipelines
- Master’s degree
Benefits
- check_circle health, life, disability, financial, and retirement benefits
- check_circle paid leave
- check_circle professional development
- check_circle tuition assistance
- check_circle work-life programs
- check_circle dependent care
- check_circle recognition awards program
Tags & Focus Areas
About Booz Allen Hamilton
Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there’s more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it’s gathered from disparate sources. We need a data professional like you to help our clients find answers in their data to impact important missions—from fraud detection to cancer research to national intelligence.
Ready to Join the Team?
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