RAKBANK

Platform Owner (AI Platform)

RAKBANK

RAKBANK is seeking a highly skilled and experienced Platform Owner: AI to lead the technology side of AI enablement within the organization. This pivotal role involves owning, building, scaling, and operating the enterprise AI platform, ensuring its security, scalability, cost-effectiveness, and reusability across various business and technology use cases. As the single point of accountability for the AI platform across cloud and on-prem environments, the ideal candidate will balance rapid innovation with operational stability, governance, and regulatory compliance. Role Purpose: Managing the Enterprise AI Platform The core purpose of this role is to establish and manage a bank-wide AI platform that enables fast, safe, and scalable AI adoption. This includes enabling multiple AI use cases across business, operations, risk, compliance, and technology. The Platform Owner: AI will also manage AI run & change with strong cost, performance, and reliability controls, while continuously evolving the platform in line with advancements in Large Language Models (LLMs) and AI tooling. AI Platform Ownership & Strategy: Own the end-to-end AI platform roadmap, architecture, and operating model. LLM & AI Technology Management: Oversee lifecycle management of LLMs and SLMs. Platform Engineering (Cloud & On-Prem): Lead deployment and operations of AI platforms across public and private cloud environments. AI Use Case Enablement: Collaborate with various teams to identify and onboard high-value AI use cases. Run & Change Management: Ensure smooth run operations, monitoring, and change delivery for the AI platform. Cost Management & Optimization: Manage AI platform costs, define usage limits, and balance innovation speed with cost efficiency. Governance, Risk & Compliance: Embed Responsible AI principles and ensure compliance with regulatory requirements. Vendor & Ecosystem Management: Manage relationships with cloud providers, AI vendors, and open-source communities. Leadership & Collaboration: Lead and grow a high-performing AI platform engineering team. Key Responsibilities for the AI Platform Owner Define the AI platform vision aligned to enterprise technology and business strategy. Decide build vs buy vs partner for AI tooling, models, and platforms. Ensure the platform supports current and future AI paradigms (GenAI, Agentic AI, AI-augmented development, AI-Ops). The Platform Owner: AI must possess strong technical expertise, including hands-on experience with LLM-based platforms, cloud and on-prem AI deployments, and a deep understanding of LLM architectures and AI model lifecycle management. Proven experience owning enterprise-scale platforms and operating in fast-changing environments is crucial. Leadership & Delivery: Proven experience owning enterprise-scale platforms. Strong run + change ownership mindset. Ability to operate in fast-changing, ambiguous environments. Experience managing cost, performance, and reliability at scale. Technical Expertise Required for AI Platform A strong technical background is essential for the Platform Owner: AI. This includes: 10+ years in platform, cloud, or enterprise engineering roles. Strong hands-on experience with LLM-based platforms and AI tooling. Cloud and/or on-prem AI deployments. Deep understanding of LLM architectures, prompt engineering, embeddings, vector databases. AI model lifecycle management and MLOps/LLMOps. For additi...