Jr. AI Engineer

Required Skills & Experience

Two (2) to four (4) years of software engineering experience, including personally taking at least one Generative AI agent, workflow, or application to production - with failure handling and a human review loop, not a notebook, demo, or ChatGPT wrapper - or an equivalent combination of education and experience. Hands-on experience developing and operating services on AWS required. Cloud certification without production ownership is not sufficient. Hands-on experience with Python, React, GitHub Actions, and Terraform required. Experience in insurance, claims, healthcare, or another heavily regulated operational domain preferred.

Job Description

The Junior AI Engineer within the Transformation Office builds and operates production Generative AI agents, workflows, and applications that support Casualty and Care transformation initiatives. Working under a Principal AI Engineer, this role ships full-stack software - Python services, React surfaces, AWS infrastructure, and CI/CD - rather than prototypes, notebooks, or demonstrations. Operating at the intersection of software engineering and applied AI, the Junior AI Engineer translates scoped problems into working, observable, secure systems and grows into forward-deployed work with examiners and operations. This is not a training seat for Generative AI. The colleague in this role has already taken an agent, workflow, or AI application to production, including failure handling and a human review loop, and is hired to do that work at Sedgwick while building domain depth.