Principal AI Engineer

By joining Sedgwick, you'll be part of something truly meaningful. It's what our 33,000 colleagues do every day for people around the world who are facing the unexpected. We invite you to grow your career with us, experience our caring culture, and enjoy work-life balance. Here, there's no limit to what you can achieve.

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Principal AI Engineer

Remote role open to all U.S. states.

• Owns the technical outcome of a value-stream pod from problem shaping through production operation, including whether work contributes to shared capability or is incomplete.
• Partners directly with business transformation leadership, examiners, nurse reviewers, and operations - sitting with users, shaping ambiguous problems, and refusing work that would wire new capability onto a process known to be broken.
• Architects and personally builds production Generative AI agents, workflows, and applications, contributing code in Python and React rather than reviewing from a distance.
• Sets and enforces engineering standards for the pod: API-first and contract-first delivery, AWS and Terraform as the path to production, Git Hub Actions as the CI/CD bar, evaluation and observability as release gates, and human confirmation on consequential claims actions.
• Accountable for whether the pod lands on shared substrate (context, documents, agents, assurance) or forks it; exercises stewardship and design-council authority to block duplicate builds.
• Defines interface terms with vendor delivery teams when the stream is co-developed: shared repositories in Sedgwick accounts, Sedgwick-owned contracts, shared definition of done.
• Establishes evaluation, provenance, and autonomy-ladder evidence for AI workflows - what may auto-complete, what must ask then do, and what is not ready - with the business owning thresholds.
• Leads technical solution design and architectural review for the stream; escalates conflicts with enterprise standards (identity, model egress, PHI, portability) rather than absorbing them quietly.
• Represents the pod on the AI Engineering design council; operates independently and is expected to converge with peer Principals without requiring SVP arbitration for ordinary technical disagreement.
• Provides technical guidance and mentoring to Senior and Junior AI Engineers; raises the pod's bar on code quality, operational excellence, and forward-deployed practice.
• Leads complex troubleshooting, root cause analysis, and performance optimization for business-critical AI services and platforms.
• Evaluates and recommends whether a capability should be built in-house, co-developed with a vendor, or not built - with a named owner and a removal path when a compromise is accepted.

• Performs other duties as assigned.
• Travel as required, including regular on-site work with claims or Managed Care operations and with vendor delivery teams.

Bachelor's degree in Computer Science, Engineering, or a related quantitative discipline from an accredited college or university required. Master's degree preferred.

Ten (10)+ or more years of software engineering experience, including at least four (4) years owning production Generative AI or applied-AI systems in the field - agents, workflows, or applications, including evaluation, failure handling, and a human review loop - or an equivalent combination of education and experience.

Hands-on production experience on AWS, and hands‑on Python, React, Git Hub Actions, and Terraform, at a level sufficient to set the bar for…