Solutions Engineer (Generative AI) at Experian

Sepang, Selangor, Malaysia -

Full Time

Start Date

Immediate

Expiry Date

06 May, 26

Salary

0.0

Posted On

05 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Solutions Engineering, Generative AI, SaaS Tools, Collaboration Platforms, Identity Integration, Operational Excellence, Governance Mechanics, Documentation, Automation, Compliance API, ChatGPT Enterprise, SSO, SCIM, RBAC, Performance Management, Monitoring

Industry

Information Services

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 This role will lead the implementation, release, and operationalization of workplace GenAI tools—turning architecture decisions and governance requirements into production‑ready deployments with monitoring, documentation, and service readiness. A major focus will be executing POCs/POVs, standing up provisioning and identity workflows, building the operational playbooks, and ensuring performance/availability metrics meet enterprise standards before GA. This role will also help reduce manual overhead where ChatGPT tooling lacks mature admin capabilities, by creating automation and operational processes for account/access, custom GPT handling, and controls support. You will operationalize ChatGPT Enterprise workspace management capabilities: implementing SSO/SCIM provisioning flows, applying workspace roles, supporting GPT publishing/sharing standards, and enabling evidence capture via the Compliance API where required by audit/compliance partners. Summary of Primary Responsibilities Onboard and implement GenAI tools, integrating with enterprise identity/security tooling and standards. Implement ChatGPT Enterprise identity posture: SSO + SCIM onboarding, and support RBAC patterns in the workspace for admins/owners and GPT governance roles. Execute POCs/POVs: build capability maps, define target productivity outcomes, evaluate effectiveness, support acceptable use artifacts, and coordinate end‑user communications. Operationalize GA readiness: monitoring/alerting, availability metrics, performance management, release validation, and service transition readiness. Create and maintain technical documentation for implementation, deployment, and maintenance processes. Enable support teams (Service Desk / 1LOD) with training, runbooks, and escalation pathways for GenAI tools Automate operational workflows where possible (provisioning steps, governance tracking updates, reporting, lifecycle actions). Support custom GPT operational controls (where applicable): enforce sharing constraints, track lifecycle status, and align operational practice to governance requirements. Support enterprise GPT operations using documented ChatGPT Enterprise capabilities: workspace GPT sharing controls + third‑party GPT allow/block decisions. Shared edit access and admin ownership reassignment to prevent single‑owner failure modes. Compliance evidence workflows using Compliance API logs/metadata, where audit/compliance requires Qualifications 4–8+ years in engineering / implementation roles supporting enterprise SaaS tools, collaboration platforms, identity integration, or workplace productivity systems. Hands‑on experience implementing and operating productivity platforms and/or GenAI services, with an emphasis on stability, monitoring, and operational excellence. Working understanding of governance mechanics that affect deployment (acceptable use, approvals, training/attestation, access request flows). Comfort producing crisp documentation, runbooks, and knowledge articles; capable of training support teams. Ability to build lightweight automation (e.g., workflow automation aligned to governance tracker patterns and audit reminders). Experience supporting enterprise audit/compliance evidence pipelines using the Compliance API / Compliance Logs Platform. Experience implementing ChatGPT Enterprise identity/provisioning and workspace management (SSO/SCIM/RBAC). Additional Information Our unique combination of smart minds and collaborative approach sets us apart. We set ourselves big goals and push each other to perform at our best. We aim to win through collaborative idea generation, often co-creating with our clients. We recognise that good ideas can come from anywhere and we empower our teams to innovate, experiment and learn fast. This audacity for creativity and risk-taking lies at the heart of our innovative ethos. Innovation is a critical part of Experian's DNA and practices. As is our diverse workforce, which drives our success. Everyone can succeed at Experian, irrespective of their gender, ethnicity, 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 Employee Status: Regular Role Type: Hybrid Department: Technology Schedule: Full Time

Responsibilities

The role involves leading the implementation and operationalization of workplace GenAI tools, ensuring production-ready deployments with monitoring and documentation. Key tasks include executing POCs/POVs, building operational playbooks, and automating workflows to reduce manual overhead.