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# AI Integration Engineer

- **Company:** Booz Allen Hamilton Inc.
- **Location:** Annapolis Junction, MD, United States
- **Experience:** Experienced
- **Salary:** $112,800.0 - $257,000.0
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Application Integration Architecture, Business Logic, Authentication Protocols, Data Stores, Distributed Systems, Python (Programming Language), PostgreSQL, OAuth, Queueing Systems, Redis, Data Streaming, Large Language Models, AgentCore, Containerization, Integration Tests, Kubernetes, Low Latency, CrewAI, AutoGen, Integration Frameworks, Apache Kafka, Api Design, Google Gemini, Amazon Simple Queue Service (SQS), Docker
- **Published:** October 16, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9245699/ai-integration-engineer

## About the Role

* 3+ years of experience building and maintaining production sof tware systems in Python
 * Experience integrating external services or APIs into distributed systems
 * Experience implementing inference request flows, including handling latency, token limits, and batching strategies
 * Experience writing integration tests for multi-service environments
 * Experience integrating large language models into production services, including managing inference requests, model responses, and error-handling flows
 * Knowledge of HTTP API design patterns, including authentication mechanisms such as OAuth2, API keys, or JWT
 * Knowledge of containerization and CI / CD pipelines
 * Ability to travel up to 25% of the time
 * TS/SCI clearance with a polygraph
 * Bachelor's degree in CS, Engineering, or Data Science

Nice If You Have:

 * Experience with message queues or event streaming, including Kafka, and SQS or SNS, and patterns for idempotency and handling out-of-order or duplicate events
 * Experience implementing resilience patterns such as retries with backoff, timeouts, and circuit breakers, to ensure reliable system behavior
 * Experience with cloud AI platform tooling such as AWS Bedrock AgentCore, Google Gemini Enterprise Agent Platform, or Micro sof t Foundry Agent Service
 * Experience with Docker, Kubernetes, or Infrastructure-as-Code tooling
 * Experience with multi-step agentic workflows or orchestration concepts and how they integrate into existing systems
 * Experience with agent memory concepts such as session-level and persistent state, and how they relate to application logic
 * Experience with orchestration frameworks for AI-enabled systems such as LangGraph, CrewAI, or AutoGen, and supporting data stores such as Redis and Postgres

## Description

As an AI Engineer, you will integrate AI-enabled capabilities into existing sof tware systems by connecting models, inference endpoints, and orchestration components to production applications. You will implement AI features using established integration and sof tware engineering patterns, ensuring these capabilities operate reliably, securely, and efficiently within distributed systems. You'll contribute to evaluation and monitoring approaches, refine integration workflows, and collaborate with cross-functional teams to deliver scalable AI functionality. Your work will help bring AI from concept into real-world environments through thoughtful, well-structured engineering.