Director, AI/ML Engineering — Claims Orchestration (Remote)

Optum

Eden Prairie (MN)

Remote

USD 177,000 - 303,000

Full time

14 days+
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Benefits offered by this job

Remote work eligible

Job summary

Optum is seeking a Director of AI/ML Engineering for Claims Automation & Orchestration. This remote role leads the design and delivery of an AI-enabled orchestration layer across claims systems, automation tools, and human-in-the-loop processes.

The candidate will build and lead a team of engineers and solution architects, influence senior stakeholders, and translate AI capabilities into production-ready solutions within a complex health-tech environment.

Qualifications

  • 8+ years in AI/ML engineering or related leadership roles.
  • 5+ years delivering automation across multiple systems and platforms.
  • Experience designing standards, governance, observability and validation for production systems.

Responsibilities

  • Lead architecture and delivery of a cross-platform claims orchestration layer.
  • Design routing models using AI, rules, and automation based on task type and risk.
  • Establish durable execution patterns for multi-step processes.
  • Create reusable interfaces and handoff patterns for platform teams.
  • Build validation, scoring, and human review for high-risk scenarios.
  • Instrument observability and reporting for throughput and impact.
  • Partner with stakeholders to align strategy with enterprise standards.
  • Recruit and lead a team of AI/ML engineers and architects while staying hands-on.

Skills

AI/ML engineering
Automation engineering
Platform engineering
Leadership
Design patterns
APIs & events
Observability

Tools

Facets
Workflow engines
RPA
Observability tools
BI dashboards

Job description

Optum is seeking a Director of AI/ML Engineering for Claims Automation & Orchestration. This remote role leads the design and delivery of an AI-enabled orchestration layer across claims systems, automation tools, and human-in-the-loop processes.

The candidate will build and lead a team of engineers and solution architects, influence senior stakeholders, and translate AI capabilities into production-ready solutions within a complex health-tech environment.

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