Solutions Architect - Generative AI

As a Solutions Architect - Generative AI at Experian, your primary responsibilities include assessing generative AI use cases, aligning them with tools, defining technical requirements, and collaborating with various teams to ensure smooth onboarding of AI tools. You'll also communicate strategies with senior leadership and produce tool recommendations tailored to Experian's needs.

To qualify for the Solutions Architect - Generative AI role at Experian, candidates should have experience with multiple technologies, familiarity with software development methodologies, and knowledge of Experian's product ecosystem. Strong communication skills and the ability to translate business needs into technical requirements are also essential.

Yes! The Solutions Architect - Generative AI position at Experian is a remote role. We encourage our employees to embrace a flexible working arrangement that supports their productivity and work-life balance while collaborating effectively with teams across our global organization.

At Experian, compliance and governance for generative AI tools are addressed by partnering with internal risk, legal, and compliance teams. The Solutions Architect - Generative AI will compile necessary approvals and acceptable use statements to align tools with organizational standards and industry regulations.

Experian offers a competitive benefits package for the Solutions Architect - Generative AI role, including a hybrid working model, great compensation, discretionary bonuses, a pension plan, Bupa healthcare, and a sharesave scheme. Employees also receive generous annual leave and flexible additional leave options.

When answering this question, focus on specific generative AI projects you have worked on, describing your role, the technologies used, and the outcomes achieved. Highlight your understanding of the tools' architecture, design considerations, and any successful integrations.

To answer effectively, discuss your approach to evaluating use cases based on factors like business impact, feasibility, and alignment with strategic goals. Providing examples of past experiences can strengthen your response and demonstrate your decision-making process.

Outline your understanding of compliance frameworks relevant to AI technologies. Discuss the importance of collaboration with compliance teams, and detail how you would develop governance strategies and monitoring processes to maintain compliance throughout the project lifecycle.

In your response, mention the resources you utilize to keep updated, such as industry publications, conferences, and online courses. Highlight any networks or communities you belong to and emphasize the importance of continuous learning in the rapidly evolving field of AI.

Share a specific example of a challenge related to AI architecture, explaining the issue, the stakeholders involved, and the steps you took to resolve it. Make sure to emphasize your analytical skills and how your solution positively impacted the project.

Discuss risk mitigation strategies like implementing security controls, conducting regular audits, and ensuring adherence to best practices in AI usage. Provide examples of previous experiences where you've successfully identified risks and implemented effective solutions.

Describe your approach to simplifying complex technical information into relatable language. Emphasize the importance of understanding your audience and using visual aids or analogies to facilitate clear communication.

Outline the key performance indicators (KPIs) you would measure, such as productivity gains, user satisfaction, and overall impact on business objectives. Mention the importance of feedback loops and post-implementation reviews for continuous improvement.

Share a specific example of a project that required collaboration with various departments. Highlight your role, how you facilitated communication and cooperation between teams, and the outcomes achieved as a result of your efforts.

Mention specific tools or platforms you have used for documentation, such as Confluence or Draw.io. Discuss the methodologies you find most effective for creating detailed, easily accessible architecture documents that align with business needs.