The Agentic AI Machine Learning Engineer will join Booz Allen Hamilton in Washington, DC onsite, focusing on delivering production-grade AI and ML solutions for Defense and Intelligence missions. The role involves work with large language models and intelligent agents, with an emphasis on deployment, scalability, and operationalization across diverse mission environments.
Responsibilities
- Design and implement end-to-end AI systems that transform client operations, improve data accessibility, and optimize AI and ML workflows.
- Architect and scale AI/ML solutions to handle fast-moving data, align infrastructure with usage, and expand in response to evolving mission requirements.
- Ensure solutions consider the broader ecosystem and operating environment, including future functionality and enhancements.
- Advance capabilities in software engineering, machine learning operations (MLOps), and deployment and integration across various mission environments.
Requirements
- Minimum 3 years of experience as a ML engineer building production-grade ML solutions, including work with LLMs, agents, or complex automation frameworks.
- Experience in data science or data research settings, with training or deploying models across multiple data modalities.
- Experience with cloud platforms, including AWS or Azure.
- Experience deploying and integrating production-grade ML models using Docker and Kubernetes.
- Proficiency with Large Language Models, Deep Learning, and Reinforcement Learning, and with AI agent frameworks such as LangChain, LangGraph, PydanticAI, or llamaindex.
- Experience connecting agents to APIs, cloud platforms, or databases.
- Experience evaluating LLM performance and building observation layers for stakeholders using Grafana, Langfuse, LangSmith, or Phoenix.
- Experience assessing architectural tradeoffs and designing robust service-based software for scalable use.
- Ability to obtain a Secret clearance.
- Bachelor’s degree.
Technologies
- AWS
- Azure
- Docker
- Kubernetes
- LangChain
- LangGraph
- PydanticAI
- llamaindex
- Grafana
- Langfuse
- LangSmith
- Phoenix
- TensorFlow
- PyTorch
- llama.cpp
- vLLM
- Kafka
- Red Panda
- Confluent
Benefits
- Health, life, disability, financial, and retirement benefits
- Paid leave
- Professional development
- Tuition assistance
- Work-life programs
- Dependent care
- Recognition awards program
Clearance
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Compensation
Salary at Booz Allen is determined by various factors, including location, the individual's education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is USD 99,000.00 to 225,000.00 per year, representing the typical salary range for this role and one component of Booz Allen's total compensation.
Identity Statement
As part of the hiring process, Booz Allen may require identity verification using advanced biometrics and AI to ensure authenticity and prevent fraud. Candidates may be on camera during interviews and assessments, and the company may capture images to verify identity.
Candidate AI Usage Policy
AI is integrated into Booz Allen's daily workflow, with a commitment to responsible use of AI tools. The candidate process remains based on your skills and knowledge, and the use of AI or other tools to assist with responses during interviews is prohibited unless explicit permission is granted.
Work Model
- Remote: If listed as remote, there may be occasions when in-person work is required at Booz Allen or a client facility.
- Hybrid: Frequent presence at a Booz Allen facility is expected, with possible visits to customer facilities as needed.
- Onsite: Work primarily at a Booz Allen office or customer facility, collaborating directly with colleagues and clients as required.
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, protected veteran status, or any other status protected by applicable law.
