AI Governance Architect

hace 4 semanas


Barcelona, Barcelona, España Zurich A tiempo completo

Our Opportunity

Zurich Insurance is seeking highly skilled individuals to drive cutting-edge responsible AI innovation.

You will play a crucial role in governing AI solutions along the full insurance value chain and drive the technical operationalization of our AI Governance Framework to inspire digital trust.

Your Role

As an AI Governance Architect /Technical Lead, your main responsibilities will include:

  • Driving the operationalization of Zurich's AI Governance Framework by optimizing its technical integration into the existing IT architecture and evaluating and integrating external Responsible AI solutions.
  • Dynamically adjusting and updating AI governance / GenAI controls and guardrails, including their integration into tools, systems, and platforms to drive automation and insights.
  • Assessing and mitigating risks, such as unfair bias, in AI algorithms and models, including LLM-based / GenAI solutions, along the insurance value chain.
  • Collaborating closely with data scientists, computer scientists, ML engineers, architects, and stakeholders from the business and assurance functions to drive responsible AI consistently across the organization.

Fostering Collaboration

You will foster collaboration with highly diverse, cross-functional teams to ensure compliance with governance requirements, including audits and market expectations.

Staying Up-to-Date

You will stay up-to-date with the latest trends and technological advancements in AI / GenAI.

About the Role

At Zurich, an AI Governance Architect, Technical Lead, plays a crucial role in ensuring that AI technologies are developed and deployed in a safe, responsible, and sustainable way, balancing the benefits and opportunities of AI with the potential risks in order to best serve our customers.

Your Skills and Experience

As an AI Governance Architect /Technical Lead, your skills and experience will ideally include:

  • 4+ years of experience in technology & operations, business analysis, and sound understanding of AI/ML and data analytics, data & AI governance.
  • Data science / computer science background and/or business analyst capabilities, including an understanding of MLOps.
  • Data visualization capabilities (e.g., PowerBI & PowerApps) to support and design technical solutions, provide for maintenance and compliance.
  • A self-starter mindset with a can-do attitude, hands-on and solution-oriented delivery.

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