Principal GenAI & ML Architect — Remote

Optum; Minnetonka (MN); Remote; USD 180,000 - 240,000; Full time

Job summary

Optum is seeking a seasoned Principal Data Scientist to lead design and deployment of advanced ML and generative AI solutions. You will define end-to-end architectures, select tools, guide teams in productionizing scalable AI services, and mentor engineers with a focus on responsible AI practices.

You’ll work remotely from anywhere in the U.S., with a requirement to be in the Minneapolis or DC area four days a week when in office.

Qualifications

• 10+ years designing production ML solutions.
• 3+ years building GenAI apps with LLMs (LangChain/LangGraph).
• Cloud-native ML infra, containers, ML pipelines, CI/CD, model registry on a major cloud (AWS/Azure/GCP).
• Deep ML/statistics with NLP or CV domain expertise and hands-on ownership.
• Solid ML and DL background with production experience.
• Proficiency in Python and DL frameworks (PyTorch, TensorFlow, Keras).
• Strong foundation in probability/linear algebra and deploying models at scale.

Responsibilities

• Lead architecture and hands-on development of ML and generative AI apps.
• Design, build, and deploy scalable AI solutions with responsible AI principles.
• Drive PoCs in generative AI and evaluate new research and tools.
• Establish model governance, versioning, reproducibility, and security.
• Provide technical guidance and mentorship to engineers.
• Collaborate with data/software/product teams to deliver production-ready capabilities.
• Document designs, conduct reviews, and present findings to stakeholders.

Skills

Machine learning architecture

GenAI / LLMs

Cloud-native ML infra

MLOps

Python

DL frameworks

LangChain

Tools

Docker

Kubernetes

CI/CD

Model registry

Job description

Optum is seeking a seasoned Principal Data Scientist to lead design and deployment of advanced ML and generative AI solutions. You will define end-to-end architectures, select tools, guide teams in productionizing scalable AI services, and mentor engineers with a focus on responsible AI practices.

You’ll work remotely from anywhere in the U.S., with a requirement to be in the Minneapolis or DC area four days a week when in office.