Agentic AI Machine Learning Engineer

Booz Allen Hamilton • Annapolis Junction, MD

1d

About The Position

As an experienced machine learning engineer, you will design, create, and implement complete AI systems that will transform client operations, increase data accessibility, and optimize AI and ML systems within the Defense and Intelligence sectors. The role involves architecting, designing, and building mission-oriented machine learning solutions to handle fast-moving data, seamlessly scale with infrastructure based on system usage, and expand based on evolving mission requirements. You will ensure solutions consider the broader ecosystem, operating environment, and future functionality, while deepening skills in software engineering, machine learning operations (MLOps), and software deployment and integration into various mission environments. This position aims to transform the Defense and Intelligence sectors with software systems to aid data accessibility and AI and ML operationalization.

Requirements

• 3+ years of experience as an ML engineer and building production-grade ML solutions, including work involving LLMs, agents, or complex automation frameworks
• 3+ years of experience working within data science or data research in a professional or academic environment, and training or deploying models across multiple modalities of data
• 3+ years of experience working in cloud environments, including AWS and Azure
• 2+ years of experience deploying and integrating production-grade ML models using tools, such as Docker and Kubernetes
• Experience with Large Language Models (LLM), Deep Learning (DL), and Reinforcement Learning (RL), and with tools and AI agent frameworks, such as LangChain, LangGraph, PydanticAI, or llamaindex
• Experience in connecting Agents to APIs, Cloud platforms, or databases
• Experience evaluating LLM performance and building observation layers for stakeholders, including Grafana, Langfuse, LangSmith, or Phoenix
• Experience evaluating architectural tradeoffs and designing robust service-based software applications for scalable use
• TS/SCI clearance
• Bachelor’s degree

Nice To Haves

• Experience with programming, including ML frameworks such as TensorFlow, PyTorch, llama.cpp, and vLLM
• Experience with client engagements, client-facing project work, and business development
• Experience with project work in deep learning, computer vision, NLP, or signal processing
• Experience deploying and managing data brokering solutions, including Kafka, Red Panda, Confluent, and other related services
• Ability to adapt in a rapidly changing environment
• Possession of excellent verbal and written communication skills
• Possession of excellent interpersonal, analytical, problem-solving, and organizational skills
• TS/SCI clearance with a polygraph
• Master's degree

Responsibilities

• Design, create, and implement complete AI systems that will transform client operations, increase data accessibility, and optimize AI and ML systems
• Ensure that your team’s solutions consider the broader ecosystem and operating environment as well as future functionality and enhancements
• Deepen your skill set in areas like software engineering, machine learning operations (MLOps), and software deployment and integration into a variety of different mission environments

Benefits

• Health benefits
• Life benefits
• Disability benefits
• Financial benefits
• Retirement benefits
• Paid leave
• Professional development
• Tuition assistance
• Work-life programs
• Dependent care
• Recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees