AI/ML Engineer

Booz Allen Hamilton • Washington, DC

3d • $99,000 - $225,000 • Hybrid

About The Position

As a Machine Learning Engineer on Booz Allen’s Physical AI team, you will contribute to national defense as a member of a research and development team. You will design and develop tools and capabilities, evolve them with advanced technology solutions, support a prototyping team, and help a client evaluate and integrate new technologies into its mission. The role involves building and maintaining machine learning solutions and Azure-based data and ML workflows, supporting production deployments, and exploring emerging AI technologies.

Requirements

• 5+ years of experience developing AI, ML, or advanced analytics solutions.
• Experience with Python and ML libraries, and building and deploying production ML systems.
• Experience with agentic AI frameworks, LLM integrations, Azure OpenAI, or RAG architectures.
• Ability to explain technical concepts clearly to non-technical stakeholders and establish collaborative relationships with government clients.
• Ability to work collaboratively and independently, showing initiative in completing complex tasks.
• Ability to obtain a Secret clearance.
• Bachelor’s degree in a STEM field.

Nice To Haves

• Experience with Azure ML, Azure Functions, Azure Storage, Azure Data Factory, or Azure DevOps.
• Experience combining ML approaches with deterministic business rules and scoring frameworks.
• Experience supporting federal or highly regulated environments.
• Strong written and verbal communication skills.

Responsibilities

• Develop, enhance, and maintain ML models for anomaly detection, data quality assessment, and predictive modeling across workforce and operational datasets.
• Evaluate model accuracy, performance, drift, and operational effectiveness; refine feature engineering and scoring strategies with data science and engineering teams.
• Design, build, and maintain Azure-based data and ML pipelines, including automated scoring and model execution workflows.
• Develop scalable cloud-native solutions for batch and event-driven processing, orchestration, scheduling, monitoring, and AI workload health management.
• Support containerized deployments using Docker and Kubernetes; monitor production workloads, troubleshoot operational issues, and optimize AI platform reliability, performance, and cost efficiency.
• Maintain CI/CD pipelines, Infrastructure-as-Code, and configuration management practices.
• Evaluate emerging AI technologies and contribute to agentic AI and orchestration proof-of-concepts.
• Communicate technical concepts, solutions, risks, and recommendations to technical and non-technical stakeholders, including government clients.
• Support the prototyping team in evaluating and integrating new technologies into the client’s mission.

Benefits

• Health, life, disability, financial, and retirement benefits.
• Paid leave.
• Professional development.
• Tuition assistance.
• Work-life programs.
• Dependent care.
• Recognition awards for exceptional performance and demonstration of company values.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level