Agentic AI Machine Learning Engineer
About The Position
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.
Requirements
- 3+ years of experience as a 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 architectural tradeoffs and designing robust service-based software applications for scalable use
- Experience with MLOps, GitOps, and CI/CD tooling
- 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
Benefits
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
