AI/ML Engineer

Booz Allen Hamilton

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
McLean, VAMelbourne, FL
Salary
$99,000–$225,000 / yr
Posted
71 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $202k
This role $162k
$79k most similar roles pay here $283k

This role pays less than 72% of similar roles. Most pay $162,000–$241,750 — the shaded band above. At the midpoint, this role pays about $162k versus about $202k 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 785 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 762 roles with salary data.

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View all roles at Booz Allen Hamilton

At a glance

TL;DR · AI/ML Engineer

As an AI/ML Engineer, you will join a team focused on developing scalable AI solutions within secure, regulated environments and sensitive data workflows. You will be responsible for designing and refining prompts, building LLM-powered workflows, and developing retrieval augmented systems to improve decision making and operational efficiency. Your daily work involves collaborating with cross-functional teams and senior technical leaders to implement modern AI practices. The role requires proficiency in Python, Git, and version control tools, alongside experience with prompt engineering, data workflows, and RAG techniques like chunking and embeddings. You will utilize technologies such as LangChain, LlamaIndex, or Azure OpenAI while managing complex requirements in environments involving PHI, PII, or HIPAA regulations. The role solves the challenge of building dependable, high-performing AI capabilities for enterprise-level applications and mission-critical systems.

What you'll do

  • Design and refine prompts for LLM-powered applications using techniques like few-shot prompting and structured outputs.
  • Build and implement LLM-powered workflows to improve decision-making and operational efficiency.
  • Develop and support retrieval augmented generation (RAG) systems including chunking, embeddings, and grounding responses in source data.
  • Write clean, reusable Python code to develop and integrate AI/ML solutions into enterprise environments.
  • Implement responsible AI practices such as content filtering, guardrails, and output validation for sensitive data.
  • Manage and maintain version control for AI projects using Git or GitHub.
  • Support the assessment, integration, and troubleshooting of technical solutions in secure, regulated environments.

What we're looking for

  • Bachelor’s degree in Computer Science, Information Technology, or a STEM field.
  • 8+ years of experience in IT, systems administration, software development, cloud services, data engineering, or related technical fields.
  • Experience with AI/ML, LLM-enabled tools, prompt engineering, and designing, testing, and iterating on prompts for LLM-powered applications.
  • Experience with Retrieval Augmented Generation (RAG) including chunking, embeddings, retrieval, and grounding responses in source data.
  • Proficiency in Python for writing clean and reusable code.
  • Experience with Git, GitHub, or other version control tools.
  • Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements.
  • Experience with advanced prompting techniques, multi-step LLM workflows (LangChain, LlamaIndex), and vector databases (preferred).

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