Solutions Architect (Generative AI)

Job description

Company 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. Job Description 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 Primary Responsibilities Review and assess GenAI use cases, align them to existing/planned tools, and maintain a roadmap of workplace productivity GenAI capabilities. Maintain a capability map of ChatGPT Enterprise features relevant to productivity programs, including GPT Builder/GPTs, controlled sharing, and enterprise oversight mechanisms (Compliance API). Define architecture and technical requirements for onboarding GenAI tools (assessment → POC → valuation → GA), including integration touchpoints with identity/security standards. Define identity + lifecycle requirements for ChatGPT Enterprise adoption such as SSO/SCIM, workspace RBAC roles, and provisioning standards for enterprise scale. Model cost vs. productivity value and recommend tool positioning to reduce overlap and prevent unnecessary tool sprawl. Partner with Risk/Legal/Compliance to compile required approvals, governance artifacts, and acceptable use statements for GenAI tools. Produce and communicate GenAI strategy to senior technology leadership; summarize use cases and submit artifacts to governance bodies. Design security controls and mitigations for GenAI solutions, including addressing audit findings and ensuring compliance with internal standards. Create reference patterns for higher‑risk use cases (e.g., sensitive data, regulated workflows) that specify: allowed data classes and redaction expectations, evidence requirements for audit readiness, review triggers for “material changes” to a GPT (instruction changes, knowledge updates, GPT Actions updates). Engage vendors and partners and translate roadmap shifts into enterprise architecture impacts. Work with program leadership to align architecture decisions to features available in ChatGPT Enterprise, including connectors/enterprise integrations where appropriate, and enterprise support expectations Qualifications 7–12+ years in solutions/enterprise architecture, with demonstrated ownership of product onboarding and technical governance in a regulated environment. Practical experience with ChatGPT Enterprise and how it integrates into collaboration and productivity workflows. Comfortable shaping and documenting architecture: capability maps, target productivity outcomes, reference patterns, and GA readiness criteria. Working knowledge of enterprise identity patterns and adjacent cloud/container concepts as needed. Experience collaborating across Security/Risk/Legal/Compliance to translate policy intent into implementable technical requirements. Experience designing governance‑aware GPT patterns using GPT Builder plus sharing controls, editor controls, and version history. Familiarity with Compliance API data types and how they can be ingested into enterprise governance platforms. Additional Information Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why. Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. Experian Careers - Creating a better tomorrow together Find out what its like to work for Experian by clicking here