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# Principal Platform Engineer, AI Native SDLC

- **Company:** Experience Recruit, LLC
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Confluence, JIRA, Audit Trail, Continuous Integration, Graph Database, Information Retrieval, OAuth, Systems Development Life Cycle, Role-Based Access Control, Software Engineering, Toolchain, Data Classification, Large Language Models, Claude Code, Multi-Agent Systems, AI Coding Agents, Agentic-AI, Git, AI Platforms, Prompt Injection, Api Design, Model Context Protocol, Data Pipelines, Servicenow
- **Published:** November 13, 2026
- **Apply:** https://startup.jobs/principal-platform-engineer-ai-native-sdlc-experian-10764573

## About the Role

* 10 or more years of software engineering experience, including at least 5 years building developer platforms or internal tooling at enterprise scale.
 * 2+ years designing and running LLM-based or agentic systems in production, including multi-agent orchestration (such as LangGraph), evaluation, cost control, failure handling and human approval workflows for consequential actions.
 * Hands-on experience with knowledge graph or hybrid graph and vector retrieval design, ontology modeling and data ingestion pipelines.
 * Working knowledge of the Model Context Protocol, API design, event-driven integration, OAuth and workload identity
 * Familiarity with the SDLC toolchain (Jira, Confluence, Git platforms, CI/CD, ServiceNow and OpenTelemetry).
 * Understanding of AI governance and security in a regulated industry: data classification for model calls, prompt injection defenses, audit logging and least privilege.
 * Experience with developer portals such as Backstage, InnerSource programs, rolling out coding agents such as Claude Code, or measurement frameworks such as DORA and SPACE
 * #LI-Hybrid

## Description

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.