AI/ML Software Engineer

Booz Allen Hamilton

Actively hiring Posted this week Verified listing

Washington, DC · Dallas, TX Posted 3 days ago Apply by Aug 28, 2026 $69,400–$158,000 / year

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99+ other roles within 25 mi Near Washington, DC

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $197k

This role $114k

$50k most similar roles pay here $254k

This role pays less than 98% of similar roles. Most pay $162,000–$231,043 — the shaded band above. At the midpoint, this role pays about $114k versus about $197k 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 670 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 657 roles with salary data.

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At a glance

TL;DR

Join us as an experienced AI/ML Software Engineer at the Advanced Research Projects Agency for Health (ARPA-H), where you will serve as a strategic technical advisor, supporting the development and execution of advanced R&D programs aimed at accelerating better health outcomes. You’ll collaborate with world-class scientists and engineers to integrate large language models (LLMs) and retrieval-augmented generation (RAG) into projects, extend agentic capabilities using MCP and A2A, and deploy AI models on cloud platforms like AWS or Azure. Your responsibilities include fine-tuning model parameters, optimizing system efficiency, maintaining code quality through CI/CD practices, and communicating technical concepts to non-technical stakeholders. Ideal candidates have 5+ years of experience in Python with TensorFlow and PyTorch, handling large datasets, and deploying ML models on cloud platforms, along with a Master’s degree. Experience in an R&D environment is a plus.

Skills

AWS Python TensorFlow PyTorch CI/CD Azure Google Cloud version control testing LLM tool or function calling agentic orchestration data pipelining ETL processes hyperparameter tuning

What you'll do

Develop and deploy AI models on cloud platforms like AWS or Google Cloud.
Integrate LLMs and RAG into projects by collaborating with cross-functional teams.
Extend agentic capabilities using MCP and A2A for agent orchestration and tools calling.
Conduct experiments to fine-tune parameters and optimize model performance continuously.
Ensure code quality through best practices in software development, including CI/CD.

What we're looking for

5+ years of experience delivering production-ready code and implementing CI/CD pipelines.
Expertise in Python with libraries like TensorFlow and PyTorch for neural network architecture.
Experience handling large datasets, data pipelining, ETL processes, and cloud platform deployment.
Strong background in software engineering fundamentals including version control and testing.
Ability to design efficient algorithms and optimize models through hyperparameter tuning.
Master’s degree required; experience in R&D environment is preferred.
Proficiency in deploying AI models on AWS, Google Cloud, or Azure.

Similar roles

AI and ML Software Engineer

Booz Allen Hamilton

Alexandria, VA 41 days ago $69,400–$158,000

Python Rust Go Scala Java RESTful APIs ML model applications Pandas NumPy CI/CD GitLab CI Jenkins Agentic AI solutions Linux Docker Podman Kubernetes

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