Booz Allen
AIEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“AI Engineer at Booz Allen. Skills: AI Engineering, ML Engineering, LLM Systems, Data Pipelines. Train models. Test models”
Industry & Context.
Problem-solve
TS/SCI clearance
What They're Looking For.
Must Have
Python experience, ML engineering experience, AI systems development experience, Build, deploy, maintain LLM systems, Build, deploy, maintain complex data pipelines, Integrate AI components, Integrate embeddings, Integrate vector databases, Integrate RAG pipelines, Translate prototypes to production systems, Own system performance, Optimize for latency, Optimize for throughput, Optimize for high reliability, TS/SCI clearance, Bachelor's degree
Nice to Have
Collaborate with MLOps engineers, Collaborate with DevOps engineers, Collaborate with infrastructure engineers, Work with AWS, Work with Azure, Work with GCP, Work with Docker, Work with Kubernetes, Experience with model architectures, Experience with inference optimization, Experience with fine-tuning models, Experience with distributed systems, Experience with streaming data, Integrate AI services, Implement advanced prompting strategies, Use LangChain, Use LlamaIndex, Use vLLM, Use TGI LLM engines, Use tool calling, Use agentic workflows, Security+ Certification
What You'll Do.
Define solution direction
Apply ML technologies
How You'll Work.
Team & Collaboration
AI engineers community; Data engineers; Data scientists; Solutions architects; MLOps engineers
Full Job Description
AI Engineer **The Opportunity:** As an experienced engineer, you know that artificial intelligence (AI) 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 AI 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 AI 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. **You Have:** * Experience in software engineering, ML engineering, and AI systems development using Python * Experience building, deploying, and maintaining LLM-powered systems and complex data pipelines in production environments * Experience integrating AI components, including embeddings, vector databases such as LanceDB, pgvector, 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 If You Have:** * Experience collaborating with MLOps, DevOps, and infrastructure engineers to ensure seamless mod
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