Agentic AI Machine Learning Engineer

About the role

The opportunity is to create AI and ML enabled solutions that help solve tough challenges in the Defense and Intelligence sectors. You'll design, create, and implement complete AI systems to transform client operations, increase data accessibility, and optimize AI and ML systems.

Responsibilities

• Design, create, and implement complete AI systems
• Ensure solutions consider broader ecosystem and future functionality
• Deepen skill set in software engineering, MLOps, and software deployment
• Work in cloud environments (AWS, Azure)
• Deploy and integrate production-grade ML models using Docker and Kubernetes
• Evaluate LLM performance and build observation layers
• Design and deploy data brokering solutions
• Adapt to rapidly changing environments

Requirements

• 3+ years of experience as a ML engineer
• 3+ years of experience in data science/data research
• 2+ years of experience deploying and integrating ML models
• Experience with LLMs, agents, automation frameworks
• Experience with cloud environments (AWS, Azure)
• Experience with large language models, deep learning, reinforcement learning
• Experience with LangChain, LangGraph, PydanticAI, llamaindex
• Experience with connecting agents to APIs, cloud platforms, databases
• Experience evaluating LLM performance and building observation layers
• Experience with Grafana, Langfuse, LangSmith, Phoenix
• Experience with architectural tradeoffs and service-based software applications

Qualifications

• Bachelor’s degree
• Master’s degree preferred

Skills

• Programming experience with ML frameworks (TensorFlow, PyTorch, llama.cpp, vLLM)
• Experience with client engagements, project work, business development
• Experience with deep learning, computer vision, NLP, signal processing
• Experience with Kafka, Red Panda, Confluent, and related services

Benefits

Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits.

Pay

The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD).

Schedule

Remote, Hybrid, or Onsite options available.