Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.
At Experian, we believe great work happens when people come together. We're focused on attracting talent in and around our designated hub locations who are open to collaborating with colleagues in person. Aligning employees to these talent markets helps foster collaboration, strengthen team connections, and support long-term career growth within Experian. This is a hybrid role and you will report to the VP, Partner Solutions Engineering, and reside in or near one of our collaboration hubs:
Costa Mesa, CA; San Jose, CA; Allen, TX; Austin, TX; Franklin, TN; New York, NY; Schaumberg, IL; Washington, D.C.; Atlanta, GA; Boston, MA; Seattle, WA
Job DescriptionOverview
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.
- 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
Benefits/Perks:
- Great compensation package and bonus plan
- Core benefits including medical, dental, vision, and matching 401K
- Flexible work environment, ability to work remote, hybrid or in-office
- Flexible time off including volunteer time off, vacation, sick and 12-paid holidays
- Explore all our exciting benefits here: https://yourexperianbenefits.com/cand-index.html
Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose-driven culture is multi award-winning. We have won World's Best Workplaces™ 2025 (Fortune Global Top 25), and Great Place To Work™ in 26 countries to name a few.
Experian's recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from an @experian.com email address. Experian will never ask candidates to make any payment as part of a recruitment process.
Our compensation reflects the cost of labor across several U.S. geographic markets. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. You will be eligible for a variable pay opportunity and a comprehensive benefits package.
Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
Skills Required
- 10 or more years of software engineering experience
- At least 5 years building developer platforms or internal tooling at enterprise scale
- 2 or more years designing and running LLM-based or agentic systems in production
- Experience with multi-agent orchestration, evaluation, cost control, failure handling, and human approval workflows
- Hands-on experience with knowledge graph or hybrid graph and vector retrieval design
- Experience with ontology modeling and data ingestion pipelines
- Working knowledge of Model Context Protocol, API design, event-driven integration, OAuth, and workload identity
- Familiarity with Jira, Confluence, Git platforms, CI/CD, ServiceNow, and OpenTelemetry
- Understanding of AI governance and security in regulated industries
- Experience with developer portals, InnerSource programs, coding agents, or DORA and SPACE measurement frameworks
Experian Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Experian and has not been reviewed or approved by Experian.
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Healthcare Strength — Medical and dental coverage is described as strong, with expanded mental health resources and telemedicine options. Coverage includes inclusive services such as gender transition and fertility support.
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Leave & Time Off Breadth — Time-off offerings are generous, including substantial PTO/vacation, paid holidays, and paid volunteer days with options to purchase additional leave. Parental leave is available for birth and non-birth parents alongside flexible working arrangements that support work-life balance.
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Retirement Support — Retirement programs include a 401(k) with company matching and contributory pension schemes in some regions. These elements complement base pay and bonuses to form a competitive total rewards package.
Experian Insights
What We Do
Experian unlocks the power of data to create opportunities for consumers, businesses and society. During life’s big moments – from buying a home or car, to sending a child to college, to growing a business exponentially by connecting it with new customers – we empower consumers and our clients to manage data with confidence so they can maximize every opportunity. We gather, analyse and process data in ways others can’t. We help individuals take financial control and access financial services, businesses make smarter decision and thrive, lenders lend more responsibly, and organizations prevent identity fraud and crime. For more than 125 years, we’ve helped consumers and clients prosper, and economies and communities flourish – and we’re not done. Our 20,600 people in 43 countries believe the possibilities for you, and our world, are growing. We’re investing in new technologies, talented people and innovation so we can help create a better tomorrow. About Experian: Bringing data to life requires creativity, passion, flexibility and expertise. We want you to share in our success. That's why we offer rewards that recognise great performance. Working in a culture of collaboration, achievement and respect we will give you the support and encouragement you need to develop your skills and talents and progress your career. Everyday our people bring enthusiasm, innovation and inspiration to work and if this sounds like you connect with us at Experian.
