AI Engineer

Booz Allen Hamilton•Reston, VA

6d•Remote

About The Position

As an experienced engineer, you know that artificial intelligence is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support an enterprise-wide application and data capability. As an artificial intelligence engineer on our national security team, you’ll train, test, deploy, and maintain models that learn from data. In this role, you’ll own and define the direction of critical solutions by applying best-fit ML algorithms and technologies. You’ll be part of a large community of artificial intelligence engineers across the company and collaborate with data engineers, data scientists, solutions architects, and MLOps engineers to deliver world class solutions, including processing data and information at a massive scale. Your skills and extensive technical expertise will guide clients as they navigate the landscape of AI/ML algorithms, tools, and frameworks. Work with us to solve real-world challenges and define AI strategy for our national security customers. Join us. The world can’t wait.

Requirements

3+ years of experience in software engineering, machine learning engineering, or AI systems development using Python
Experience building, deploying, and maintaining LLM-powered systems and complex data pipelines in production environments
Experience implementing advanced prompting strategies, LangChain or LlamaIndex AI orchestration frameworks, vLLM or TGI LLM inference engines, and tool calling or agentic workflows
Experience integrating AI components, including embeddings, vector databases such as LanceDB, pgvector, or Elasticsearch, and Retrieval-Augmented Generation (RAG) pipelines
Ability to translate early-stage prototypes into robust, scalable production systems
Ability to take ownership of system performance, continuously optimizing for latency, throughput, and high reliability
TS/SCI clearance
Bachelor's degree

Nice To Haves

Experience collaborating with MLOps, DevOps, and infrastructure engineers to ensure seamless model deployment and infrastructure scaling
Experience working with AWS, Azure, or GCP cloud platforms and containerization technologies, such as Docker or Kubernetes
Experience with underlying model architectures, inference optimization techniques, or fine-tuning open-source models
Experience with distributed systems, streaming data such as Kafka, or integrating AI services into larger enterprise microservice architecture
Security+ Certification

Responsibilities

Train, test, deploy, and maintain models that learn from data.
Own and define the direction of critical solutions by applying best-fit ML algorithms and technologies.
Collaborate with data engineers, data scientists, solutions architects, and MLOps engineers to deliver world class solutions.
Process data and information at a massive scale.
Guide clients as they navigate the landscape of AI/ML algorithms, tools, and frameworks.
Solve real-world challenges and define AI strategy for national security customers.