6 ai ml infrastructure engineer jobs at 5 companies in Winchester, VA
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Senior AI Infrastructure Engineer
Austin or Reston or United States
HybridFull Time
Seekr: Transparent AI platform for enterprise and government decision-making.
5+ YOE5–8 years building distributed systems or cloud/platform services; production Kubernetes and ML infra experience; strong software engineering in Python and Go/Rust/C++; familiarity with GPU inference, model serving frameworks, and cloud platforms.
Arlington or Washington or Pentagon or Springfield or Chantilly or Tysons Corner
$105k-$200k/yrOnsiteFull Time
Technomics: Provides cost analysis and decision support services for government.
8+ YOE8+ years in cloud architecture or AI/ML infrastructure, strong Azure experience, knowledge of RAG, embeddings, vector DBs, model APIs, containerized deployments, security and governance for regulated clouds.
Microsoft Azure, Azure GCC High, RAG, embeddings, vector databases, model APIs, containers, APIs
8+ YOE3+ MgmtBachelor's or equivalent, 8 years software development, 5 years ML design/infrastructure, 3 years leading technical projects, experience with LLMs/Generative AI and GCP.
Systems Development Engineer, AI/ML Amazon Dedicated Cloud
Arlington or Herndon
$99k-$160k/yrOnsiteFull Time
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
1+ YOERequires 1+ year systems engineering, networking, and software development experience; Linux/Unix, infrastructure automation, programming, systems design, and active TS/SCI clearance with polygraph.
10+ YOEBachelor's degree or equivalent,10 years cloud-native customer-facing experience,ML model development/deployment experience,TS/SCI clearance required,ability to travel up to 20%.
GRVTY: Develops defense technology, cyber, and intelligence software solutions.
Active TS/SCI with polygraph required; experience building scalable backends and user interfaces; familiarity with AI/ML, DevOps, and cloud infrastructure; strong communication and collaboration skills.
AI/ML, Natural Language Processing (NLP), AWS, DevOps