This role pays less than
87%
of similar roles. Most pay
$143,948–$211,200
— the shaded band above.
At the midpoint, this role pays about
$127k
versus about
$178k
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
793 open roles
on FindRole.
Listed pay typically runs
$86,800–$198,000
across 768 roles with salary data.
AI Engineer
The AI Engineer joins the team to design and implement effective AI solution architectures that address specific client business problems while adhering to corporate strategies and goals. This role involves developing innovative solutions to complex problems with minimal direction and includes mentoring and supervising team members as needed. The successful candidate will utilize expertise in generative and agentic AI technologies, including LLMs, MCP, LangChain, or LangGraph. Required technical skills include proficiency in Python, C#, or Java, along with experience in deep learning, computer vision, NLP, or signal processing. Knowledge of microservice design, edge computing, and Docker is valued, alongside potential experience in CUDA, RAPIDS, or Rust. The role focuses on solving complex technical problems through advanced AI methods while ensuring compliance with security requirements for classified information access.
What does a AI Engineer earn in California?
Median $246150 from 78 postings across 12 companies.
Design and implement AI solution architectures to address specific client business problems.
Develop innovative solutions to complex technical problems using advanced AI technologies.
Implement generative and agentic AI technologies including LLMs, MCP, LangChain, or LangGraph.
Build software systems utilizing modern design patterns like microservices or edge computing.
Mentor and supervise team members as needed to meet project goals.
Work independently to deliver results without significant oversight.
Gather requirements from customers and lead Agile teams to execute projects.
What we're looking for
Ability to obtain a Secret clearance.
2+ years of experience with artificial intelligence, data science, machine learning engineering, software engineering, data research, or data analytics.
2+ years of experience with software development or engineering in an academic or professional environment.
Experience with generative and agentic AI technologies, such as LLMs, MCP, LangChain, or LangGraph.
Experience with a programming language including Python, C#, or Java.
Experience with project work in deep learning, computer vision, NLP, or signal processing.
Knowledge of modern software design patterns, including microservice design or edge computing.
Experience with embedded systems programming in C, C++, or Rust (preferred).
Experience with integrating coding agents like Cursor or Windsurf into a development pipeline (preferred).
Experience with GPU programming, including CUDA or RAPIDS (preferred).
Experience with modern cloud computing technologies, including Docker (preferred).
Ability to gather requirements from customers and lead Agile teams (preferred).
Doctorate degree in Computer Science or Statistics (preferred).
LLM
MLOps
Kubernetes
Docker
AWS
Azure
GCP
CI/CD
MLflow
Kubeflow
GitLab CI
API
Zero-Trust Architecture
Data Pipelines
Network Engineering
Systems Engineering
Full-Stack Development