[Remote] Senior Director, AI/ML Engineering - Remote , MN preferred

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Note: The job is a remote job and is open to candidates in USA. Optum is a global leader in health care innovation, seeking a Senior Director of AI/ML Engineering to build and scale their AI/ML engineering function. The role involves leading a team to develop AI solutions that address complex business challenges and drive enterprise-wide growth in AI capabilities.


Responsibilities

  • Build and scale the AI/ML engineering function that will drive Enterprise Functions AI Transformation leveraging Forward Deployed Engineering concepts
  • Build a team of AI/ML Engineers and Forward Deployed Engineers that will scale AI solutions across the enterprise
  • Design, develop, and deploy AI-powered solutions, platforms, and automations to address complex enterprise business challenges, with an emphasis on the safe and responsible use of AI
  • Deliver reusable AI capabilities, internal developer platforms, engineering accelerators, shared UI frameworks, and agent-ready data capabilities that accelerate AI deployment and adoption across corporate functions
  • Partner directly with business function stakeholders (e.g., Finance, HR, Legal, Operations) to reimagine, redesign, and transform corporate processes through AI-enabled solutions
  • Drive the technical vision and execution of advanced AI architectures, taking solutions from prototype/MVP through enterprise production deployment, scaling, and operational transition to support teams
  • Establish data quality, governance, and agent-ready data strategies to support seamless enterprise AI adoption and ensure data integrity
  • Leverage enterprise-approved AI tools and modern engineering technologies to streamline workflows, automate complex tasks, and drive continuous improvement across engineering teams
  • Evaluate emerging AI trends, frameworks, and architecture patterns to inform platform solution design, technical roadmap creation, and strategic innovation
  • Define and enforce enterprise engineering standards for security, responsible AI, data architecture, platform engineering, and governance in large, fragmented enterprise environments

Skills

  • Bachelor's degree in Computer Science, Engineering, or a related technical field (or 4+ years of equivalent software engineering / technical leadership experience in lieu of a degree)
  • 12+ years of experience in software engineering, platform engineering, or AI/ML engineering
  • 5+ years of direct people management experience leading software engineering organizations and managing engineering managers, with a proven track record of leading organizations of 15+ employees across multiple Agile/Scrum teams within an AIDLC framework
  • Demonstrated experience taking AI solutions from prototype/MVP through enterprise production deployment, scaling, and operational transition to support teams
  • Experience partnering directly with business functions (e.g., Finance, HR, Legal, Operations) to redesign and transform business processes through AI-enabled solutions
  • Demonstrated ability to discuss and explain the practical application of AI technologies through direct implementation experience, including agent architectures, orchestration, RAG, evaluation frameworks, and AI guardrails
  • Experience establishing data quality, governance, and agent-ready data strategies to support enterprise AI adoption
  • Principal or Staff-level architecture experience building reusable engineering platforms, developer accelerators, and defining enterprise standards for security, governance, and responsible AI
  • Proficiency in Python, along with experience using TypeScript or JavaScript
  • Experience with enterprise cloud platforms (Azure preferred; AWS or GCP acceptable), Kubernetes, containers, CI/CD, Infrastructure-as-Code, and enterprise data platforms such as Databricks or Snowflake
  • Proven track record translating AI strategy into measurable business results and partnering effectively with executive stakeholders
  • Advanced degree (Master's, MBA, or Ph.D.) in a technical or quantitative discipline
  • Experience building AI/ML platforms and solutions on Microsoft Azure, including Azure AI and Azure OpenAI services
  • Experience operating within highly regulated industries such as healthcare, financial services, insurance, or other complex enterprise environments
  • Experience supporting Finance transformation initiatives, including FP&A, Record-to-Report (R2R), or related enterprise finance processes
  • Experience leading innovation, incubation, accelerator, or rapid-delivery engineering teams focused on emerging technologies and business transformation
  • Experience standing up or scaling a Forward Deployed Engineering (FDE) organization, AI Center of Excellence (CoE), or AI Platform organization
  • Experience leading enterprise AI transformation initiatives within Fortune 500 companies
  • Experience building internal developer platforms, shared UI frameworks, and reusable engineering accelerators adopted across multiple engineering teams
  • Experience transitioning technical delivery and support from vendor/consulting models or incubation teams to permanent internal engineering teams
  • Demonstrated passion for leveraging technology and AI to solve complex healthcare challenges and improve business outcomes

Benefits

  • A comprehensive benefits package
  • Incentive and recognition programs
  • Equity stock purchase
  • 401k contribution (all benefits are subject to eligibility requirements)
  • All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy

Company Overview

  • Optum provides primary care and optical care services. It was founded in 1985, and is headquartered in Albuquerque, New Mexico, USA, with a workforce of 10001+ employees. Its website is

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