# Senior AI Engineer **Company**: Sedgwick **Location**: Telecommuter FL **Work arrangement**: remote **Experience**: senior **Job type**: full-time **Category**: Engineering **Industry**: Insurance **Apply**: https://sedgwick.wd1.myworkdayjobs.com/en-US/Sedgwick/job/Telecommuter-FL/Senior-AI-Engineer_R79503?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_589d8908-ba2 ## Description 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. As a Senior AI Engineer, you will own a build stream end to end within a pod, designing, building, and operating production Generative AI agents, workflows, and applications. **Responsibilities:** - Owns a build stream end to end within a pod: problem shaping with the Principal, implementation, production operation, and instrumentation of the outcome the business said it would measure. - Designs, builds, and operates production Generative AI agents, workflows, and applications , including request orchestration, tool execution, state management, and interaction with enterprise systems. - Develops full-stack software in Python and React, shipping both the service and the interface a business user touches. - Owns deployment and operation on AWS, with infrastructure as code in Terraform and CI/CD in GitHub Actions, including environments, secrets, and repeatable promotion to production. - Implements evaluation, observability, and human-in-the-loop controls for AI systems: provenance on material outputs, confirmation on consequential claims actions, and evidence that a workflow is ready to move up the autonomy ladder. - Implements authentication, authorization, logging, monitoring, and error handling to meet enterprise security, auditability, PHI, and reliability requirements. - Integrates AI services with enterprise and legacy systems , including APIs, data platforms, and event streams , using approved, non-invasive patterns and versioned contracts. - Stewards a shared capability as assigned (context, documents, agents, or assurance), with authority to block a duplicate build in another pod. - Embeds with vendor delivery teams for co-development when the stream requires it: shared repositories in Sedgwick accounts, shared definition of done, not acceptance testing after a demo. - Sits with examiners, nurse reviewers, or operations staff; watches the work; and turns that into scoped services, workflows, and UI changes. - Provides technical guidance and mentoring to Junior AI Engineers, promoting engineering standards, code quality, and operational excellence. - Troubleshoots and leads root cause analysis and performance optimization for latency, throughput, cost, correctness, and reliability of production AI services. - Evaluates and recommends improvements to architecture, platform capabilities, and engineering process for the stream and the shared substrate. **Additional Responsibilities:** - Performs other duties as assigned. - Travel as required, including on-site work with claims or Managed Care operations and with vendor delivery teams. **Qualifications:** - Bachelor’s degree in Computer Science, Engineering, or a related quantitative discipline from an accredited college or university required. - Master’s degree preferred. - Six (6) + years of software engineering experience, with at least three (3) years shipping production Generative AI agents, workflows, or applications , including evaluation, failure handling, and a human review loop , or an equivalent combination of education and experience. - Hands-on experience building and operating production workloads on AWS required. - Hands-on experience with Python, React, GitHub Actions, and Terraform required, including ownership of CI/CD and infrastructure rather than editing templates. **Skills & Knowledge:** - Strong full-stack engineering skills in Python and React, with solid working knowledge of SQL, REST APIs, and service design. - Hands-on AWS: has built, deployed, and operated production services, including networking, identity, and operational concerns sufficient for a regulated environment. - Hands-on GitHub Actions and Terraform: owns pipelines and infrastructure as code, including review, drift, and recovery. - Production command of Generative AI agents, workflows, and applications , tool use, orchestration, evaluation, and human-in-the-loop patterns , sufficient to ship and run, not only prototype. - Ability to implement services in alignment with enterprise architecture, governance, PHI handling, and compliance requirements. - Ability to sit with examiners or operations staff and leave with scoped work; comfortable as the only engineer in that room. - Ability to work collaboratively in a fast-paced Transformation Office, including pairing with vendor engineers when required. - Strong mentoring, collaboration, and technical communication skills. - Experience with machine learning, model fine-tuning, and/or graph databases (e.g. Neo4j) preferred. - Experience with PydanticAI (or equivalent agent framework), agent observability, and AI Ops / LLMOps a plus. ## Skills ### Required - Python - React - AWS - Terraform - GitHub Actions - SQL - REST APIs - Generative AI ### Nice to have - machine learning - model fine-tuning - graph databases - PydanticAI - agent observability - AI Ops / LLMOps --- Source: [Apply at sedgwick.wd1.myworkdayjobs.com](https://sedgwick.wd1.myworkdayjobs.com/en-US/Sedgwick/job/Telecommuter-FL/Senior-AI-Engineer_R79503?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)