Remote Lead AI/ML Engineer - AI Ops & Automation

UnitedHealth Group; Eden Prairie (MN); A distancia; USD 146.000 - 250.000; Jornada completa

Descripción de la vacante

UnitedHealth Group is seeking a Lead AI/ML Engineer to advance AI-powered operations across Engagement Technology platforms. You will define strategy, design, and adoption of AI, automation, observability, and self-healing capabilities to improve reliability, efficiency, and scalability enterprise-wide.

The role requires cross-functional leadership, partnering with stakeholders to transform support models into intelligent, automated operations and to drive measurable KPIs related to AI,

Formación

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
• 12+ years of experience in technology operations, platform engineering, cloud infrastructure, or related areas.
• 2+ years of enabling AI across technical teams.
• Experience leading enterprise-scale platforms supporting critical business operations.
• Experience with Azure cloud services, DevOps practices, and infrastructure management.
• Experience managing large-scale operational transformations and process improvements.
• Solid understanding of ITIL practices, incident management, problem management, and service operations.
• Demonstrated success managing vendor relationships and strategic technology partnerships.

Responsabilidades

• Define and execute the AI-in-Ops vision, roadmap and transformation strategy for Engagement Technology Operations.
• Identify, prioritize and deliver high-value AI and automation use cases that improve operational efficiency, service reliability, scalability and cost optimization.
• Lead the adoption of AIOps, Generative AI, Copilot, Agentic AI and intelligent automation across operational workflows.
• Design and champion automation-first capabilities, including intelligent monitoring, predictive analytics, anomaly detection, automated remediation, self-healing and AI-powered operational assistants.
• Define measurable KPIs and communicate the business and operational value delivered through AI, automation and reliability initiatives.
• Drive the availability, performance, scalability and operational health of critical enterprise platforms through proactive monitoring, capacity planning and issue prevention.
• Lead operational readiness reviews, disaster recovery, business continuity, platform governance and the evolution of support models and operating procedures.
• Lead major incident response, cross-functional war rooms and executive communications for business-critical applications.
• Drive root cause analysis, corrective and preventive actions, and continuous improvements in service restoration, incident reduction and operational resilience.
• Manage strategic vendor and service-provider relationships, including performance, SLAs, escalations, contractual deliverables and emerging technology evaluations.
• Partner with business and technology leaders to translate operational risks and technical challenges into clear business impacts, investment priorities and actionable recommendations.
• Provide senior leadership with concise reporting on platform performance, incidents, risks, operational metrics and strategic transformation initiatives.

Conocimientos

AI/ML engineering

Cloud infrastructure

Azure

DevOps practices

ITIL practices

Vendor management

Executive communication

Cross-functional leadership

Educación

Bachelor's degree in Computer Science/Engineering/Information Systems

Herramientas

Observability platforms

SRE practices

Descripción del empleo

UnitedHealth Group is seeking a Lead AI/ML Engineer to advance AI-powered operations across Engagement Technology platforms. You will define strategy, design, and adoption of AI, automation, observability, and self-healing capabilities to improve reliability, efficiency, and scalability enterprise-wide.

The role requires cross-functional leadership, partnering with stakeholders to transform support models into intelligent, automated operations and to drive measurable KPIs related to AI,