AI Engineer

Booz Allen Hamilton

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Washington, DC
Salary
$99,000–$225,000 / yr
Posted
50 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $182k
This role $162k
$84k most similar roles pay here $240k

This role pays less than 58% of similar roles. Most pay $149,000–$214,931 — the shaded band above. At the midpoint, this role pays about $162k versus about $182k 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 799 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 780 roles with salary data.

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View all roles at Booz Allen Hamilton

At a glance

TL;DR · AI Engineer

AI Engineer As an AI Engineer, you will design, build, and operate production-grade AI systems at scale, owning the full lifecycle of agentic applications and machine learning solutions. Your daily responsibilities include developing data pipelines, building multi-agent systems in cloud environments, and ensuring system performance through tracing, metrics, and optimized retrieval. You will develop RAG pipelines and utilize traditional ML where appropriate to solve complex technical challenges. The role requires proficiency with LLMs, vector stores, and agent orchestration frameworks like LangGraph or Strands. You will work with FastAPI, Flask, or Node.js while deploying via CI/CD in cloud-native environments including AWS and Azure. Technical requirements include experience with OpenTelemetry, Datadog, and AI-assisted coding tools like Copilot. The role involves developing production systems for federal mission environments and managing large data processing pipelines.

What does a AI Engineer earn?

Median $211200 from 132 postings across 36 companies.

See salary data

What you'll do

  • Design and build production-grade multi-agent systems and AI/ML solutions in cloud environments.
  • Develop and manage end-to-end data pipelines for machine learning applications.
  • Build and deploy RAG pipelines using vector stores and LLM frameworks.
  • Implement observability features including tracing, metrics, and performance dashboards.
  • Optimize system performance by managing latency, caching, and retrieval strategies.
  • Develop APIs and services using frameworks like FastAPI, Flask, or Node.js.
  • Deploy models, agents, and applications through automated CI/CD pipelines.
  • Utilize AI-assisted coding tools to accelerate the development of complex software tasks.

What we're looking for

  • Bachelor's degree in CS, Engineering, or a STEM field.
  • Ability to obtain a Secret clearance.
  • 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 with associated services like Bedrock, SageMaker, and EKS/ECS.
  • Experience with agent orchestration frameworks such as LangGraph and Strands.
  • Experience implementing observability using tools like OpenTelemetry, Datadog, or CloudWatch.

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