Conceptualize, build, and deliver best-in-class training for Enterprise AI Governance, personalized Risk Assessments, and practical tools and frameworks to help organizations implement responsible AI practices.

Responsibilities

• Building & delivering customized AI Governance training sessions and workshops to a broad audience, from technical teams to c-level executives. You will be expected to roll-up your sleeves to engage in the full-lifecycle of content creation through delivery.
• Supporting customers in defining their AI governance roadmap and workflow(s) using guidance based on industry best practices and standard AI governance frameworks.
• Managing customer engagements including gathering requirements, identifying milestones, managing project timelines, and iterating based on customer feedback.
• Defining future programs and initiatives that Credo AI can develop to best support customers in their AI Governance journey amidst the rapidly evolving landscape.
• Collaborating across all Credo AI functions to source and share AI Governance knowledge.
• Representing Credo AI as the global market leader on AI Governance at industry events and in webinars, podcasts, panels, and forums in order to reinforce our position as leaders in responsible AI.
• AI fluency or willingness to learn is a requirement.

Skillset

• An academic foundation in ethical AI principles with practical experience in applying these principles within a business context.
• Exceptional communication skills with the ability to convey complex socio-technical and ethical AI issues in a clear and understandable manner. This is a customer facing role where you will be interfacing with both technical and non-technical stakeholders across the globe.
• Demonstrated program or curriculum development experience, with a focus on content creation to be able to build best-in-class training resources such as webinars and workshops.
• Strong business acumen and understanding to be able to understand business processes and how AI and AI Governance delivers value. Having worked in an enterprise context is preferred.
• Technical expertise in Data Science, Machine Learning, Generative AI, and/or LLMs is preferred such that you are knowledgeable about how to develop and deploy AI and GenAI in an enterprise environment and understand its impact.

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