Artificial Intelligence/Machine Learning Engineer

Booz Allen Hamilton•San Diego, CA

1d•$77,600 - $176,000

About The Position

As a programmer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support Warfighter Performance challenges. As a machine learning engineer on our Warfighter Performance team, you’ll train, test, deploy, and maintain models that learn from data. In this role, you’ll contribute to the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You’ll grow within a large community of machine learning engineers across the company and collaborate with data engineers, data scientists, solutions architects, SMEs, and product owners to deliver world-class solutions to Optimize Warfighter Performance. Your skills and technical experience will help your clients navigate the landscape of ML algorithms, tools, and frameworks. Work with us to solve real-world challenges and define ML strategy for Warfighter Performance and Warfighter Technology. Join us. The world can’t wait.

Requirements

Experience with Python, SQL, Git, data analysis, and machine learning workflows using libraries such as pandas, NumPy, scikit-learn, PyTorch, or TensorFlow
Experience building scripts, notebooks, prototypes, or small applications that process data and support AI/ML use cases
Experience with APIs, structured data, cloud-hosted services, and how AI systems use tools and external knowledge sources to generate grounded responses
Knowledge of machine learning fundamentals, data preprocessing, model evaluation, prompt engineering, LLMs, embeddings, and retrieval-augmented generation concepts
Ability to write clean code, troubleshoot technical issues, learn new frameworks quickly
Ability to obtain a Secret clearance
Bachelor’s degree in computer science, data science, engineering, mathematics, statistics, or artificial intelligence

Nice To Haves

Experience supporting LLM-based applications, retrieval-augmented generation, tool-calling agents, evaluation workflows, or AI-assisted decision support systems
Experience with cloud or DevOps tools such as AWS, Docker, CI/CD, Linux, APIs, vector search, notebooks, lightweight dashboards, or backend services
Experience with human performance, health, fitness, sleep, nutrition, readiness, or behavioral data
Knowledge of agentic AI patterns, including tool use, prompt libraries, memory, retrieval, guardrails, evaluation, and human-in-the-loop workflows
Secret clearance
Master's degree in AI, machine learning, data science, software engineering, applied analytics, human performance, psychology, kinesiology, or physiology
AI, machine learning, data science, cloud, DevOps, or security Certification

Responsibilities

Train, test, deploy, and maintain models that learn from data.
Contribute to the direction of mission-critical solutions by applying best-fit ML algorithms and technologies.
Collaborate with data engineers, data scientists, solutions architects, SMEs, and product owners to deliver world-class solutions to Optimize Warfighter Performance.
Help clients navigate the landscape of ML algorithms, tools, and frameworks.
Define ML strategy for Warfighter Performance and Warfighter Technology.
Support development of AI/ML prototypes, data pipelines, model workflows, and agentic workflow components.
Communicate technical work clearly, document progress, and present findings to technical and non-technical stakeholders.
Design, test, and improve agentic AI workflows that combine models, tools, data sources, and business rules.
Document experiments, compare model outputs, evaluate failure cases, and clearly brief recommendations, risks, and progress to project teams or clients.