Agentic AI Machine Learning Engineer

Booz Allen Hamilton; Washington (District of Columbia); Hybrid; USD 99,000 - 225,000; Full time

Benefits offered by this job

Health and life insurance

Paid leave

Tuition assistance

Work-life programs

Job summary

Booz Allen Hamilton is seeking an experienced Agentic AI Machine Learning Engineer to design and implement AI systems that transform client operations in the Defense sector. Candidates should have over 3 years of machine learning experience, particularly in production-grade solutions.

The role requires expertise in cloud systems, Docker, Kubernetes, and experience with large language models (LLMs). This is a hybrid work model and offers diverse benefits for employee well-being.

The salary range for this position is $99,000 to $225,000 annually.

Qualifications

• 3+ years of experience as a ML engineer and building production-grade ML solutions.
• Experience working in cloud environments, including AWS or Azure.
• Experience evaluating architectural tradeoffs and designing robust service-based applications.

Responsibilities

• Design, create, and implement complete AI systems to transform client operations.
• Ensure solutions consider the broader ecosystem and future enhancements.
• Deepen your skill set in software engineering, MLOps, and software deployment.

Skills

3+ years of experience in ML engineering

Experience working in cloud environments

Experience deploying production-grade ML models

Experience with Large Language Models

Experience evaluating LLM performance

Tools

Docker

Kubernetes

AWS

Azure

TensorFlow

PyTorch

Job description

Your growth matters to us - explore our career development opportunities.

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Connect with others in our people-first culture and enhance our collective ingenuity.

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YOUR CANDIDATE JOURNEY

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Agentic AI Machine Learning Engineer

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.

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 like software engineering, machine learning operations ( MLOps ) , and software deployment and integration into a variety of different mission environments.

Ready to transform the Defense and Intelligence sectors with software systems to aid data accessibility and AI and ML operationalization?

Join us. The world can’t wait.

You Have:

• 3+ years of experience as a 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

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

Clearance:

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

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. 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. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Work Model

Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this 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 this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
• Onsite: If this 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 by the role.

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.