AI Software Developer, Senior

Booz Allen Hamilton

Confirmed live today High trust

Quick summary

Work type
On-site
Location
San Diego, CA
Salary
$86,900–$198,000 / yr
Employment
Full-time
Posted
77 days ago
Freshness
Confirmed live today
Closes
Nov 8, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $177k
This role $142k
$70k $240k
below market most similar roles pay here above market

This role pays less than 82% of similar roles. Most pay $149,500–$204,337 — the blue band above. At the midpoint, this role pays about $142k versus about $177k 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 1662 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 904 roles with salary data.

Most-posted roles

View all roles at Booz Allen Hamilton

At a glance

TL;DR · AI Software Developer, Senior

The AI Software Developer, Senior joins a multidisciplinary team supporting Navy customers and warfare centers to modernize cyber missions. You will work with cybersecurity specialists to clarify objectives, shape technical approaches, and deliver practical outcomes in secure, compliant environments. Daily responsibilities include designing, implementing, and troubleshooting scripts, services, APIs, and AI-enabled automation to reduce cyber risk and improve workflow speed. You will integrate systems using REST/HTTP APIs and various data stores while ensuring alignment with RMF and secure engineering practices. Required technical skills include Python, API integration, relational or NoSQL stores, Git, and Agile methodologies. Preferred experience includes designing LLM-enabled architectures using LangChain, OpenAI Agents SDK, or vector databases, alongside familiarity with AWS, Azure, GCP, and platforms like Databricks or Palantir Foundry.

What you'll do

  • Clarify mission objectives, technical constraints, and security boundaries through discussions with stakeholders.
  • Shape technical approaches, tradeoff analyses, and phased implementation plans for software solutions.
  • Design, implement, test, and troubleshoot scripts, APIs, and AI-enabled automation workflows.
  • Integrate systems and data using REST/HTTP APIs, data stores, and cloud patterns.
  • Produce technical artifacts such as design notes and operational implications for diverse audiences.
  • Align all development with RMF controls, secure engineering practices, and cyber security requirements.
  • Maintain code quality using version control, peer reviews, and lightweight testing practices.

What we're looking for

  • 4+ years of experience in software development, integration, or automation in a professional environment.
  • Experience using Python for developing, testing, and debugging services, automation, and data or integration utilities.
  • Experience integrating APIs and working with relational, document, or NoSQL stores while tracing failures across components.
  • Experience delivering in small teams using Agile or Kanban with Git and code review norms.
  • Experience with cloud or enterprise deployment patterns or on-prem integration environments.
  • Ability to translate mission or security requirements into technical tasks and explain tradeoffs to stakeholders.
  • Bachelor’s degree in Computer Science, Computer Engineering, Cybersecurity, Information Systems, or a STEM field.
  • DoD 8570/8140 IAT Level II certification.
  • Experience designing AI/ML or LLM-enabled architectures, including model selection and workflow design (preferred).
  • Experience with RAG, embeddings, vector search, or frameworks like LangChain or OpenAI Agents SDK (preferred).
  • Experience with enterprise data platforms like Databricks or Palantir Foundry (preferred).
  • TS/SCI clearance (preferred).
  • Master's degree in Computer Science, Computer Engineering, Information Systems, or a related technology field (preferred).

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