Artificial Intelligence Engineer

Booz Allen Hamilton

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
San Antonio, TX
Salary
$99,000–$225,000 / yr
Employment
Full-time
Posted
3 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $183k
This role $162k
$84k $240k
below market most similar roles pay here above market

This role pays less than 54% of similar roles. Most pay $149,262–$216,721 — the blue band above. At the midpoint, this role pays about $162k versus about $183k 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 1660 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 908 roles with salary data.

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At a glance

TL;DR · Artificial Intelligence Engineer

JOB TITLE: Artificial Intelligence Engineer The Artificial Intelligence Engineer will join the engineering team to integrate advanced AI capabilities into production systems. This role involves building and evolving traditional LLM-driven solutions into goal-oriented, multi-agent architectures. You will develop intelligent workflows, integrate inference endpoints, and manage distributed software environments. Key responsibilities include building Retrieval-Augmented Generation solutions with Knowledge Graphs, fine-tuning Small Language Models, and developing AI evaluation frameworks using ReAct patterns and human-in-the-loop methodologies. You will utilize Python, LangChain, LangGraph, AutoGen, MCP, and A2A, while leveraging ONNX, GGML, and Ollama. Technical requirements include experience with secure HTTP APIs, OAuth2, JWT, containerization, and CI/CD pipelines. The work focuses on creating reliable, secure, and scalable AI features for mission-ready solutions within complex software environments.

What you'll do

  • Integrate AI models, inference endpoints, and agent-orchestration frameworks into distributed software environments.
  • Develop goal-oriented multi-agent architectures using frameworks like LangChain, LangGraph, or AutoGen.
  • Build RAG solutions incorporating Knowledge Graphs and fine-tune Small Language Models (SLMs).
  • Optimize inference workflows for integrating LLMs, external APIs, and distributed services into production.
  • Develop AI evaluation frameworks and production validation using ReAct patterns and human-in-the-loop methodologies.
  • Implement secure HTTP APIs, OAuth2, and containerized CI/CD pipelines for AI features.
  • Translate cutting-edge AI concepts into operational, mission-ready software solutions.

What we're looking for

  • 3+ years of experience developing and maintaining production-grade software systems in Python.
  • Experience designing and implementing AI agent architectures using LangChain, LangGraph, AutoGen, MCP, or A2A.
  • Experience building RAG solutions with Knowledge Graphs and fine-tuning SLMs using ONNX, GGML, or Ollama.
  • Experience integrating LLMs, external APIs, and distributed services into production with optimized inference workflows.
  • Experience developing AI evaluation frameworks, integration tests, and production validation using ReAct patterns and human-in-the-loop methodologies.
  • Knowledge of secure HTTP APIs, OAuth2, JWT, API Keys, containerization, and CI/CD pipelines.
  • Bachelor’s degree in Computer Science, Engineering, or Data Science.
  • TS/SCI clearance.

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