Jobs · Engineering

Director of AI/ML Engineering Remote Nationwide or Hybrid in MN/DC

Optum · Eden Prairie, MN · 2 mo ago
Engineering$135k–$231k/yrFull-time

Primary Responsibilities

  • Integrate enterprise AI tools, set AI goals in development plans, and align hiring with AI competencies, actively removing barriers to accelerate adoption
  • Champion the ethical use of AI by embedding transparency, fairness, and accountability throughout the entire AI lifecycle
  • Strategically use AI to solve problems, unlock opportunities, and deliver tangible business value
  • Champion AI as a core driver of the team's success and proactively shape how that AI is developed, deployed, and utilized
  • Direct the engineering strategy for large-scale AI/ML initiatives, ensuring alignment with Consumer Engineering goals
  • Oversee the end-to-end development, deployment, and optimization of machine learning models in a production environment
  • Mentor and grow a team of AI/ML engineers, fostering a culture of technical excellence and continuous innovation
  • Collaborate with senior CDO leadership to prioritize roadmaps and allocate resources effectively

Required Qualifications

  • Bachelor's degree or equivalent experience
  • 10+ years of professional experience in technology engineering
  • 5+ years of experience specifically in AI/ML engineering, including the development and production of models
  • 3+ years of experience in a leadership or management capacity, overseeing technical engineering teams
  • Proven track record of deploying large-scale AI/ML models into a consumer-facing production environment
  • Expertise in the software development lifecycle (SDLC) and MLOps principles

Preferred Qualifications

  • Advanced degree (Master's or PhD) in Computer Science, AI, Data Science, or related fields
  • Specific expertise in Generative AI, recommendation engines, or Natural Language Processing (NLP)
  • Experience with cloud platforms such as Azure, AWS, or GCP for AI/ML workloads
  • Solid proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow)
  • Exceptional communication and stakeholder management skills

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