Experian
Data and technology
SolutionsArchitect(GenerativeAI)
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“Solutions Architect (Generative AI) at Experian. Skills: Generative AI, ChatGPT Enterprise, Solutions Architecture, Technical Governance. Drive design and architecture for GenAI tools. Align ChatGPT Enterprise to validated use cases”
What You'll Achieve.
measurable productivity impact; reduce overlap; prevent unnecessary tool sprawl; audit readiness; mature into controlled enterprise patterns
Industry & Context.
Model cost vs. productivity value; Recommend tool positioning to reduce overlap and prevent unnecessary tool sprawl; Design security controls and mitigations for GenAI solutions; addressing audit findings
What They're Looking For.
Must Have
7–12+ years in solutions/enterprise architecture, demonstrated ownership of product onboarding and technical governance in a regulated environment, Practical experience with ChatGPT Enterprise, how it integrates into collaboration and productivity workflows, Comfortable shaping and documenting architecture, Working knowledge of enterprise identity patterns, adjacent cloud/container concepts, Experience collaborating across Security/Risk/Legal/Compliance, translate policy intent into implementable technical requirements, Experience designing governance‑aware GPT patterns, sharing controls, editor controls, version history, Familiarity with Compliance API data types, how they can be ingested into enterprise governance platforms
Nice to Have
GPT Builder, Compliance API
What You'll Do.
Drive design and architecture for GenAI tools
Align ChatGPT Enterprise to validated use cases
Take ownership of use case review
Maintain a GenAI roadmap
Produce solution recommendations
Translate governance requirements into architecture
Incorporate custom GPT governance model
Design with ChatGPT Enterprise GPTs
Design workspace controls for GPT sharing
Make third‑party GPT allowlock decisions
Define GPT Actions domain restrictions
Review and assess GenAI use cases
Align use cases to tools
Maintain capability map of ChatGPT Enterprise features
Define architecture for onboarding GenAI tools
Define identity + lifecycle requirements
Model cost vs. productivity value
Recommend tool positioning
Partner with Risk/Legal/Compliance
Compile required approvals
Produce and communicate GenAI strategy
Design security controls and mitigations
Create reference patterns for higher‑risk use cases
Engage vendors and partners
Translate roadmap shifts into architecture impacts
Align architecture decisions to features
Incorporate connectors/enterprise integrations
Address enterprise support expectations
How You'll Work.
Team & Collaboration
Collaborating across Security/Risk/Legal/Compliance; Partner with Risk/Legal/Compliance; Work with program leadership; Engage vendors and partners
Communication Scope
Produce and communicate GenAI strategy
Full Job Description
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. What you’ll be doing This role will drive the design and architecture for workplace productivity GenAI tools—ensuring the enterprise aligns ChatGPT Enterprise to validated use cases while balancing capability, cost, and measurable productivity impact. The Senior Solutions Architect will take ownership of use case review and capability mapping, maintaining a GenAI roadmap and producing solution recommendations for leadership and governance bodies. The role will also help translate governance requirements (acceptable use, risk controls, approval artifacts) into practical architecture and onboarding standards. A key differentiator: this role will actively incorporate the emerging custom GPT governance and scale model (intake/risk tier/change management/auditability) into architecture decisions so that experimentation can mature into controlled enterprise patterns. Design “from day one” with ChatGPT Enterprise GPTs (custom GPTs created in GPT Builder), including workspace controls for GPT sharing, third‑party GPT allow/block decisions, and GPT Actions domain restrictions where applicable. Summary of P
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