The Central IT Enterprise Applications team is responsible for shaping and running our enterprise AI orchestration platform. 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. Our team collaborates closely with stakeholders across the organization to deliver innovative AI solutions that meet governance, security, and quality standards.

Your key responsibilities are:

Design, implement, and maintain the AI orchestration platform as part of our enterprise application landscape (e.g. APIs, MCP connectors, model routing, monitoring, security and access layers).
Define technical standards, reference architectures, and reusable components for integrating AI solutions, in close collaboration with Central IT infrastructure and cloud teams.
Work with business stakeholders to identify, prioritize, and refine AI use cases that can be delivered via the AI orchestration platform.
Coordinate with data scientists, application owners, and external partners to design robust, scalable, and maintainable end-to-end AI solution architectures.
Establish governance, standards, and operating procedures for AI usage (including data protection, responsible AI, model lifecycle management, access control, logging, and monitoring).
Oversee incident and change management, as well as continuous improvement of AI services in production, ensuring stable operations and compliance with internal and external regulations.
Develop and maintain the AI platform roadmap in alignment with our enterprise application and cloud strategies, including build-vs-buy decisions and technology selection.
Manage relationships with AI and cloud vendors, negotiate and monitor contracts and SLAs, and contribute to planning and controlling the budget for AI platforms and services.
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.

AI Manager – Enterprise Applications (all genders)