Remote Principal AI Engineer: Generative AI & Platform Lead

Sedgwick; Tampa (FL); Remote; USD 190,000 - 230,000; Full time

Job summary

Sedgwick, a global leader in risk and claims administration, seeks a Principal AI Engineer to own AI solution design and production-grade workflows. You will build and govern Generative AI agents and orchestrations, working closely with business transformation and operations teams, and shaping ambiguous problems into concrete, scalable solutions.

You will mentor a team of AI engineers, uphold engineering standards, and drive releases with accountability for quality and operational reliability

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related quantitative discipline; Master’s preferred.
• Ten or more years of software engineering experience with production Generative AI or applied-AI systems.

Responsibilities

• Owns the technical outcome of a value-stream pod from shaping to production.
• Architects and builds production Generative AI agents, workflows, and apps in Python and React.
• Sets and enforces engineering standards including API-first delivery, AWS/Terraform production path, and CI/CD gates.
• Provides technical guidance and mentoring to junior and senior AI engineers.
• Leads design reviews and resolves conflicts with enterprise standards; represents the pod on AI Engineering design council.
• Evaluates build vs buy and defines non-goals with business ownership.

Skills

Full-stack Python/React

AI & ML workflows

AWS & Terraform

GitHub Actions

APIs & service design

Mentoring & technical leadership

Problem shaping & stakeholder mgmt

Education

Bachelor’s degree in CS/Engineering

Master’s degree preferred

Tools

Python

React

Terraform

AWS

GitHub Actions

Neo4j

PydanticAI

Job description

Sedgwick, a global leader in risk and claims administration, seeks a Principal AI Engineer to own AI solution design and production-grade workflows. You will build and govern Generative AI agents and orchestrations, working closely with business transformation and operations teams, and shaping ambiguous problems into concrete, scalable solutions.

You will mentor a team of AI engineers, uphold engineering standards, and drive releases with accountability for quality and operational reliability