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Director, AI ML Engineering - Remote

LinkedIn Optum Minnetonka, MN
Not Applicable Posted April 17, 2026 Job link
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Requirements
  • 3+ years experience focused on AI/ML/NLP solutions delivery
  • 5+ years of experience experience leading and implementing AI/ML projects from ideation to delivery, evaluation, and maintenance in production
  • Hands-on experience implementing AI/ML and/or NLP solutions
  • Proven experience in Python and AI/ML frameworks and tools (e.g., MLFlow, TensorFLow, PyTorch)
  • Experience developing and deploying data pipelines, machine learning models, or applications on cloud platforms (e.g., Azure, AWS, Databricks, AzureML)
  • Experience with Gen AI solution pipelines (e.g., RAG) and Large Language Modeling and Transformer Architectures (e.g., BERT, GPT, etc.)
  • Proven presentation experience with the ability to explain complex AI/ML concept and results to technical and non-technical audiences
  • Proven understanding of mathematical foundations of machine learning, including statistics, linear algebra, and computer science
Preferred Skills
  • Proven understanding of mathematical foundations of machine learning, including statistics, linear algebra, and computer science
  • PhD in Computer Science, Mathematics, Statistics, or a related discipline
  • Experience in healthcare (AI)
  • Experience working with cross-functional and distributed teams in a global and diverse environment
  • Experience in establishing AI/ML best practices, standards, and ethics
  • Working knowledge of Software Development tools and practices including DevOps and CI/CD tools (e.g., Git, Jenkins, Docker, Kubernetes, etc.)
  • Security and vulnerability management (package scans, remediation)
  • Familiarity with data versioning tools (Delta Lake, DVC, LakeFS, etc.)
  • Experience with model observability tools for insights into the behavior, performance, and health of your deployed ML models (tracking, alerting, compliance monitoring, etc.)
Education
  • (Not required) – Masters degree in Computer Science, Math, Statistics, or a related field and 10+ years experience OR a PhD in Computer Science or a related field and 5+ years experience
  • (Not required) – PhD in Computer Science, Mathematics, Statistics, or a related discipline