Booz Allen Hamilton is hiring an Agentic AI Machine Learning Engineer to design, create, and implement complete AI systems that transform client operations and increase data accessibility. Your work will directly optimize AI and ML systems for the Defense and Intelligence sectors, deepening expertise in software engineering, MLOps, and deployment.
What You'll Do
- Design, create, and implement complete AI systems to transform client operations, increase data accessibility, and optimize AI and ML systems.
- Ensure solutions consider the broader ecosystem, operating environment, and future functionality.
- Create AI and ML-enabled solutions to help solve tough challenges facing the Defense and Intelligence sectors.
What We're Looking For
- 3+ years of experience as a ML engineer 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, 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).
- Experience with tools and 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, 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 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.
- TS/SCI clearance with a polygraph.
- Master's degree.
Technical Stack
- Cloud: AWS, Azure
- Containerization & Orchestration: Docker, Kubernetes
- AI/ML Frameworks: LLMs, LangChain, LangGraph, PydanticAI, llamaindex, TensorFlow, PyTorch, llama.cpp, vLLM
- Observability: Grafana, Langfuse, LangSmith, Phoenix
- Data Brokering: Kafka, Red Panda, Confluent
Benefits & Compensation
- Compensation: $99,000.00 to $225,000.00 (annualized USD)
- Health benefits
- Life insurance
- Disability insurance
- Financial benefits
- Retirement benefits
- Paid leave
- Professional development
- Tuition assistance
- Work-life programs
- Dependent care
- Recognition awards program
Work Mode
This role operates on a hybrid work model.
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.
