Platform Owner (AI Platform)
RAKBANKJob Description
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.
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