Jobs at RAKBANK

📍 RAKBANK | Enterprise AI | GenAI | Platforms at Scale🤖 About the Role:As Vice President - AI Platform Owner, you will own and lead RAKBANK’s enterprise AI platform that powers GenAI and advanced AI capabilities across the bank. This is a role with real ownership - responsible for production platforms operating at scale, serving real customers, and meeting enterprise‑grade risk and regulatory requirements. You will lead the technology foundation for AI enablement, acting as the single point of accountability across cloud and on‑prem environments, while ensuring AI capabilities are secure, scalable, cost‑effective, and reusable. Balancing rapid innovation with stability and governance, you will establish the AI platform as a core, executive‑sponsored enterprise capability and partner closely with senior business and technology leaders to embed AI as a strategic, bank‑wide driver of impact.🧠 What You’ll Be Doing:You’ll sit at the intersection of AI strategy, platform engineering, and enterprise execution.Own the end‑to‑end AI platform strategy, roadmap, architecture, and operating modelDefine and evolve the AI platform vision aligned with enterprise technology and business strategyMake critical build vs buy vs partner decisions for AI models, platforms, and toolingEnable modern AI paradigms including GenAI, agentic AI, AI‑augmented development, and AIOpsOwn the full lifecycle of LLMs and SLMs across open‑source and commercial ecosystemsLead model selection, evaluation, onboarding, fine‑tuning, and retirement decisionsOversee prompt strategies, embeddings, vector databases, and inference optimisationEnable a multi‑model, multi‑provider strategy across cloud, on‑prem, and hybrid environmentsLead deployment and operations of the AI platform across public cloud and private/on‑prem infrastructureEnsure high availability, resilience, scalability, secure data handling, and data isolationEnsure compliance with data residency, privacy, and regulatory requirementsIntegrate AI platforms with core banking systems, APIs, event platforms, data platforms, and digital channelsPartner with business, operations, risk, compliance, and technology teams to identify and prioritise high‑impact AI use casesEnable rapid experimentation without compromising enterprise controlsProvide reusable AI services, APIs, and platform componentsSupport AI adoption across customer experience, operations, automation, risk, compliance, fraud, and engineering productivityOwn run operations including monitoring, incidents, performance, SLAs, and model qualityManage platform change including enhancements, new model onboarding, and capability upgradesEstablish clear ownership, escalation, and support modelsOwn AI platform cost management across model usage, compute, storage, networking, tooling, and licensingEmbed Responsible AI principles into the platform by designImplement explainability, auditability, logging, and traceability controlsManage relationships with cloud providers, AI vendors, open‑source communities, and system integratorsStay ahead of emerging AI technologies and assess their impact on the bankLead, mentor, and grow a high‑performing AI platform engineering organisationAct as a senior AI technology evangelist across RAKBANK🎯 What We’re Looking For:We’re looking for a builder and owner, not a theorist.Proven experience owning enterprise‑scale platforms with true end‑to‑end accountabilityDemonstrated success operating at senior leadership or VP level in complex organizationsStrong run + change mindset with enterprise‑grade execution disciplineAbility to operate in fast‑moving, ambiguous, and highly regulated environmentsExperience managing cost, performance, and reliability at scaleStrong executive‑level stakeholder management and decision‑making capabilityAbility to translate business strategy into scalable AI platform capabilities🛠 Skills:10+ years’ experience in platform, cloud, or enterprise engineering roles with senior leadership exposureHands‑on experience with LLM‑based platforms and AI toolingExperience deploying and operating AI platforms in cloud and/or on‑prem environmentsStrong knowledge of APIs, microservices, data platforms, and event‑driven architecturesDeep understanding of LLM architectures, prompt engineering, embeddings, and vector databasesExperience with AI model lifecycle management, MLOps and LLMOpsExperience in banking or highly regulated industries (preferred)Exposure to AI governance, model risk, and regulatory frameworks (preferred)Experience with agentic AI or autonomous workflows (preferred)Background in developer platforms or internal product platforms (preferred)✨ What You’ll Gain:Competitive compensation and performance‑based incentivesMedical coverage for you and your familyComprehensive life insuranceExposure to high‑impact, bank‑wide AI transformationA supportive, inclusive workplace cultureOpportunities for long‑term career growth and leadership impact Show more Show less