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AI/ML Engineering Leader - Remote

Optum

$132,200 - $226,600
Aug 21, 2025
Minnetonka, MN, US
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Optum is seeking an AI/ML Engineering Leader to lead the design, development, and implementation of cutting-edge artificial intelligence solutions across the organization, shaping the AI strategy and ensuring scalable, secure, and high-performance AI-driven products and services.

Requirements

  • 5+ years of hands-on experience in AI/ML, including architecting, designing, developing and deploying production-grade AI solutions using techniques such as regression, classification, and deep neural networks, with experience using frameworks like PyTorch or TensorFlow
  • 3+ years of experience working with at least one major cloud AI platform (AWS, Azure, or Google Cloud)
  • 2+ years of experience developing and deploying production AI solutions utilizing Generative AI, including Large Language Models, Retrieval-Augmented Generation (RAG), text embeddings, and vector databases
  • 2+ years of experience with MLOps processes, including managing end-to-end machine learning deployment and monitoring
  • Solid knowledge of Exploratory data analysis, data engineering and building data pipelines
  • Understanding of data privacy, security, and ethical considerations in AI system design
  • Experience in designing & developing complex enterprise software applications.

Responsibilities

  • Design end-to-end AI/ML architectures aligned to business and technical goals
  • Develop, maintain, and enforce AI/ML architecture guidelines, standards, and comprehensive review checklists
  • Keep documentation current and ensure all AI projects align with established architecture best practices and compliance requirements
  • Proactively review and assess AI solution architectures across projects
  • Provide actionable feedback, coaching, and guidance to teams implementing AI/ML solutions
  • Approve solution designs and ensure adherence to architecture standards before implementation
  • Stay abreast of emerging advancements in AI and machine learning, evaluating their potential through hands-on development

Other

  • Ability to work collaboratively and influence cross-functional teams
  • Self-driven and passionate about innovation and emerging technology
  • Foster a culture of excellence and continuous learning within the AI/ML engineering community
  • Mentor and upskill team members in architecture best practices, new technologies, and design patterns
  • Willingness to lead and manage global teams, including teams based in India