AI Integration Engineer

Booz Allen Hamilton

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Annapolis Junction, MDMcLean, VA
Salary
$112,800–$257,000 / yr
Posted
57 days ago
Freshness
Confirmed live 2 days ago
Closes
Oct 13, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $170k
This role $185k
$95k most similar roles pay here $274k

This role pays more than 63% of similar roles. Most pay $139,775–$200,620 — the shaded band above. At the midpoint, this role pays about $185k versus about $170k for comparable roles.

Based on 240 similar postings.

Employer

About Booz Allen Hamilton

Booz Allen Hamilton is a management and technology consulting firm that provides analytics, digital, engineering, and cybersecurity solutions primarily to U.S. government agencies and commercial clients. Industry: Management & Technology Consulting

Booz Allen Hamilton currently has 802 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 783 roles with salary data.

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View all roles at Booz Allen Hamilton

At a glance

TL;DR · AI Integration Engineer

As an AI Integration Engineer, you will join the team to integrate AI-enabled capabilities into existing software systems by connecting models, inference endpoints, and orchestration components to production applications. You will be responsible for implementing features using established engineering patterns, ensuring reliable and secure operation within distributed systems while contributing to evaluation, monitoring, and refined integration workflows. The role requires proficiency in Python, experience with large language models, and knowledge of HTTP API design including OAuth2, API keys, and JWT. You will work with containerization, CI/CD pipelines, and potentially tools like Kafka, Redis, Postgres, or orchestration frameworks such as LangGraph and CrewAI. This position focuses on the technical challenge of moving AI from concept to real-world environments by managing inference request flows, latency, token limits, and complex multi-step agentic workflows in production services.

What you'll do

  • Integrate AI models and inference endpoints into production software systems.
  • Implement LLM features using established engineering patterns for reliability and security.
  • Manage inference request flows including latency handling, token limits, and batching strategies.
  • Develop integration tests for multi-service environments to ensure system stability.
  • Design and implement HTTP API integrations with authentication mechanisms like OAuth2 or JWT.
  • Build resilient systems using retries, backoff strategies, and circuit breakers.
  • Develop multi-step agentic workflows and orchestration logic for AI-enabled applications.
  • Maintain production software systems and infrastructure using Python and containerization tools.

What we're looking for

  • Bachelor’s degree in CS, Engineering, or Data Science.
  • TS/SCI clearance with a polygraph is required.
  • 3+ years of experience building and maintaining production software systems in Python.
  • Experience integrating external services, APIs, and large language models into distributed systems.
  • Experience implementing inference request flows including latency management, token limits, and batching strategies.
  • Knowledge of HTTP API design patterns and authentication mechanisms like OAuth2, API keys, or JWT.
  • Knowledge of containerization and CI/CD pipelines.
  • Ability to travel up to 25% of the time.

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