Agentic AI Machine Learning Engineer

Booz Allen Hamilton; McLean (VA); Hybrid; USD 99,000 - 225,000; Full time

Benefits offered by this job

Health, life, and disability insurance

Retirement benefits

Tuition assistance

Work‑life programs

Job summary

Booz Allen Hamilton is seeking an experienced Machine Learning Engineer to develop AI and ML solutions for the Defense and Intelligence sectors. This role demands designing, creating, and implementing systems while optimizing operations.

The ideal candidate should have 3+ years of experience, proficiency in cloud environments, and strong knowledge of deploying ML models with Docker and Kubernetes.

Competitive salary range from $99,000 to $225,000 annually along with comprehensive benefits.

Qualifications

• 3+ years of experience as an ML engineer and building production‑grade ML solutions.
• Experience working in cloud environments like AWS or Azure.
• Experience deploying ML models using Docker and Kubernetes.

Responsibilities

• Design, create, and implement complete AI systems.
• Ensure solutions consider broader ecosystem and future functionality.
• Deepen skills in software engineering and machine learning operations.

Skills

3+ years of experience as an ML engineer

Experience working in cloud environments (AWS or Azure)

Experience deploying ML models using Docker and Kubernetes

Experience with LLMs, DL, RL

Ability to obtain a Secret clearance

Bachelor's degree

Education

Bachelor's degree

Tools

Docker

Kubernetes

TensorFlow

PyTorch

Job description

The Opportunity

As an experienced machine learning engineer, you understand good software is more than just a good user experience. To compete in today’s technical landscape, mission-oriented machine learning solutions must be architected, designed, and built to handle fast-moving data, to seamlessly scale with infrastructure based on system usage, and to expand based on evolving mission requirements. We’re looking for an engineer like you to create artificial intelligence (AI) and machine learning (ML) enabled solutions that help solve our toughest challenges facing the Defense and Intelligence sectors.

Responsibilities and Expectations

On our team, you’ll design, create, and implement complete AI systems that will transform client operations, increase data accessibility, and optimize AI and ML systems. You’ll ensure that your team’s solutions consider the broader ecosystem and operating environment as well as future functionality and enhancements. Additionally, you’ll deepen your skill set in areas such as software engineering, machine learning operations (MLOps), and software deployment and integration into a variety of different mission environments.

You Have

• 3+ years of experience as an ML engineer and building production‑grade ML solutions, including work involving LLMs, agents, or complex automation frameworks
• Experience working within data science or data research in a professional or academic environment, and training or deploying models across multiple modalities of data
• Experience working in cloud environments, including AWS or Azure
• 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
• Ability to obtain a Secret clearance
• Bachelor’s degree

Nice If You Have

• 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
• Secret clearance
• Master's degree

Clearance

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

Compensation and Benefits

Salary range: $99,000.00 to $225,000.00 (annualized USD). Compensation is determined by location, education, knowledge, skills, and experience, and other factors. Booz Allen offers health, life, disability, financial and retirement benefits, paid leave, professional development, tuition assistance, work‑life programs, and dependent care. Full‑time and part‑time employees working at least 20 hours a week are eligible for benefit programs.

Work Model

• Remote: If the position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
• Hybrid: If the position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and role needs. You may also be required to work from or visit a customer facility.
• Onsite: If the position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required.

Commitment to Non‑Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.