We work at the intersection of business, data / AI, and infrastructure, ensuring secure, scalable, and value-driven integration of AI capabilities into our business applications. * Establish governance, standards, and operating procedures for AI usage (including data protection, responsible AI, model lifecycle management, access control, logging, and monitoring). * Offer technical leadership to AI engineers, developers, and partner teams working with the AI orchestration platform (e.g. best practices, code and architecture reviews, platform standards). * Enable and upskill key stakeholders (product owners, developers, super users) through guidelines, documentation, and training to foster consistent and effective AI adoption across the organization. * Master's degree in Computer Science, Data Science, Information Systems, Engineering or a related technical field, or a
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