AI Integration Engineer: Build Production-Ready AI

Booz Allen Hamilton; McLean (VA); On-site; USD 112,800 - 257,000; Full time

Job summary

Booz Allen Hamilton is seeking an AI Engineer to integrate AI-enabled capabilities into production software by linking models, endpoints, and orchestration components. You will ensure reliable, secure operations within distributed systems and contribute to evaluation and monitoring approaches while collaborating with cross-functional teams to deliver scalable AI functionality.

The role emphasizes transforming AI concepts into real-world engineering, with a focus on integration patterns, tests,

Qualifications

• 3+ years of experience building and maintaining production software in Python.
• Experience integrating external services or APIs into distributed systems.
• Experience implementing inference request flows, including latency, token limits, and batching.
• 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.
• Knowledge of HTTP API design patterns and authentication mechanisms (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.

Skills

Python

Distributed systems

API integration

Testing

LLMs in production

HTTP API design

Docker

Kubernetes

CI/CD

Security clearance

Education

Bachelor’s degree in CS/Engineering/Data Science

Tools

Kafka

SQS

SNS

Redis

Postgres

Docker

Kubernetes

Terraform

LangGraph

CrewAI

AutoGen

Job description

Booz Allen Hamilton is seeking an AI Engineer to integrate AI-enabled capabilities into production software by linking models, endpoints, and orchestration components. You will ensure reliable, secure operations within distributed systems and contribute to evaluation and monitoring approaches while collaborating with cross-functional teams to deliver scalable AI functionality.

The role emphasizes transforming AI concepts into real-world engineering, with a focus on integration patterns, tests,