Principal Platform Engineer, AI Native SDLC

Overview

We are looking for an experienced and influential Principal AI Platform Engineer to lead the technical design of Experian's AI-native software development lifecycle. You will work on the developer platform that serves more than 5,000 engineers across our business units and regions, and define how AI agents, enterprise engineering knowledge and a governed marketplace come together to change how software is built.

You will report to the VP, AI Developer Platforms, and operate as a hands-on technical leader, influencing architecture and implementation across multiple teams. This is an individual contributor role with no direct reports.

You will:

• Define the reference architecture and capability map for the AI-native SDLC, from requirements through deployment and incident response, including where agents act and where people approve.
• Develop the engineering knowledge subgraph that grounds AI agents in Experian's services, APIs, standards, architecture decisions and incident history.
• Build SDLC agents, such as pull request review, documentation, rollout risk, with evaluation, audit logging and least-privilege access.
• Design the AI marketplace where teams discover, contribute and reuse agents, MCP servers and skills, including trust tiers and the path from experimental to supported.
• Utilize thee Model Context Protocol as the standard interface so tools can be replaced without rebuilding the platform.
• Partner with security, enterprise AI, cloud and engineering teams on policy and data classification
• Measure adoption, productivity and quality with telemetry, and report outcomes the platform directly controls.
• Write architecture decision records that governance bodies can approve, and mentor engineers across the platform organization.

Department: Technology
Function: Engineering
Experience Level: Mid-Senior Level