AI Software Engineer

Booz Allen Hamilton

Quick summary

Work type: On-site
Location: Columbia, MD
Salary: $86,900–$198,000 / yr
Posted: 2 days ago
Closes: Sep 13, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $197k

This role $142k

$69k most similar roles pay here $253k

This role pays less than 87% of similar roles. Most pay $161,150–$232,725 — the shaded band above. At the midpoint, this role pays about $142k 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 701 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 691 roles with salary data.

Most-posted roles

View all roles at Booz Allen Hamilton

At a glance

TL;DR · AI Software Engineer

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As an AI Software Engineer at Booz Allen, you will join a team dedicated to creating cutting-edge artificial intelligence and machine learning solutions for clients facing complex challenges. Your daily tasks will include designing and developing secure software systems using mathematical models, automating client workflows with AI, and continuously researching the latest tools and best practices in machine learning. You will work with Python, C++, Java, or Scala, leveraging cloud platforms like AWS or Azure, and containerization tools such as Docker or Kubernetes. Additionally, you will ensure that all design and development activities are well-documented and adhere to DoD AI Ethical Principles, contributing to the modernization of client systems through innovative AI technologies.

Skills

Python C++ Java Scala AWS Azure Docker Kubernetes Git CI/CD APIs relational databases NoSQL databases model evaluation frameworks machine learning models PyTorch TensorFlow Scikit-learn graph databases vector databases LangChain LangGraph LlamaIndex

What you'll do

Design and develop machine learning models to achieve organizational objectives.
Implement secure coding practices and error handling in software systems.
Assess and document limitations of methods for delivering machine learning models.
Research and apply the latest AI tools, techniques, and best practices.
Develop and implement end-to-end AI solutions that modernize client systems.

What we're looking for

Experience writing applications using Python, C++, Java, or Scala.
Proficiency with cloud platforms (AWS/Azure) and containerization tools (Docker/Kubernetes).
Expertise in collaboration and version control using Git, including CI/CD pipelines.
Knowledge of artificial intelligence machine learning models and model evaluation frameworks.
Ability to design and develop secure code and identify potential flaws to mitigate vulnerabilities.

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