Role Purpose

Own the end-to-end AI technology architecture for a diversified investment group ensuring scalable, secure, and business-aligned adoption of AI across portfolio companies and corporate functions.

Key Responsibilities

• Lead selection, evaluation, and integration of AI platforms, LLMs, MLOps tools, and data infrastructure across the group.
• Assess existing IT, cloud, and data landscapes; define target‑state AI architecture.
• Design enterprise‑grade AI reference architectures (data model integration, security).
• Partner with investment teams, IT, digital, and portfolio leadership to align AI initiatives with value creation.
• Drive standardization, reuse, and interoperability across portfolio companies.
• Ensure scalability, performance, reliability, and cost efficiency of AI solutions.
• Establish architectural governance documentation and best practices.
• Evaluate emerging AI ...