AI Software Engineer

Booz Allen Hamilton

Quick summary

Work type: On-site
Location: Washington, DC
Salary: $69,400–$158,000 / yr
Posted: 17 days ago
Closes: Aug 18, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $204k

This role $114k

$48k most similar roles pay here $267k

This role pays less than 96% of similar roles. Most pay $162,000–$246,150 — the shaded band above. At the midpoint, this role pays about $114k versus about $204k 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 375 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 368 roles with salary data.

Most-posted roles

View all roles at Booz Allen Hamilton

At a glance

TL;DR · AI Software Engineer

Apply Now Log in to save

As an experienced AI Software Engineer at the Advanced Research Projects Agency for Health (ARPA-H), you will join a dynamic team dedicated to advancing health outcomes through cutting-edge research and development. Your role involves developing core agentic systems, implementing LLM evaluation pipelines, and building integrations with various data sources using modern backend frameworks like Python and asynchronous patterns. You will collaborate closely with cross-functional teams including engineers, PMs, and researchers to deliver robust solutions while ensuring production reliability and privacy compliance. Key technologies include Microsoft Azure services such as Functions, API Management, and Container Apps, alongside expertise in DevOps practices for CI/CD pipelines and observability systems. This role demands a deep understanding of AI development, evaluation, and long-term impact, requiring strong technical skills and the ability to communicate effectively with senior-level executives.

Skills

Python Azure Docker CI/CD MCP LLM Prompt Engineering API Management Container Apps Token Economics Security Best Practices Asynchronous Programming Azure Functions Grafana Prometheus Kubernetes Terraform

What you'll do

Develop and implement core agentic systems and workflows for AI-enabled projects.
Design and build LLM evaluation pipelines and integrate Model Context Protocol (MCP).
Create LLM-powered features like prompt orchestration, RAG pipelines, and grounding systems.
Implement backend features end-to-end, including APIs and robust error handling mechanisms.
Contribute to infrastructure and DevOps tasks on Microsoft Azure platforms.
Write prompts and develop evaluation components considering token economics and quality metrics.

What we're looking for

3+ years experience building and operating production-grade software systems
Expertise in cloud platforms (Azure, AWS, GCP) and containerization tools like Docker
Proficiency in backend programming languages including Python and async patterns
Experience with CI/CD pipelines and high-velocity delivery environments
Strong communication skills for interacting with senior-level executives
Bachelor’s degree in Computer Science or Software Engineering required

Similar roles

Software Engineer

Austin, Texas 73 days ago

Python SQL AWS RESTful APIs Docker Kubernetes CI/CD Git PostgreSQL Redis GraphQL Swagger JUnit Selenium Jenkins Prometheus Grafana Ansible Terraform

Hybrid

Save

Software Engineer

Cary, North Carolina 58 days ago

Python SQL Javascript Vue.js OpenAPI Node.js CI/CD Docker GitLab Snowflake Airflow Cloud-Native Architecture Service-Oriented Architecture Agile Methodology

Hybrid

Save