Platform Owner (AI Platform) job opportunity at RAKBANK.



Date2026-01-08T10:54:04.779Z bot
RAKBANK Platform Owner (AI Platform)
Experience: General
Pattern: Full-time
apply Apply Now
Salary:
Status:

Job

Copy Link Report
degreeGeneral
loacation Dubai, Dubai, United Arab Emirates
loacation Dubai, Dubai....United Arab Emirates
Auto GPT Summarize Enabled

Job DescriptionRole Purpose:The AI Platform Owner is responsible for owning, building, scaling, and operating the enterprise AI platform for the bank. This role leads the technology side of AI enablement, ensuring that Large Language Models (LLMs), AI tools, and agentic capabilities are secure, scalable, cost-effective, and reusable across business and technology use cases.The role acts as the single point of accountability for the AI platform across cloud and on-prem environments, balancing rapid innovation with operational stability, governance, and regulatory compliance.Key ObjectivesEstablish a bank-wide AI platform that enables fast, safe, and scalable AI adoptionEnable multiple AI use cases across business, operations, risk, compliance, and technologyManage AI run & change with strong cost, performance, and reliability controlsContinuously evolve the platform in line with fast-paced advancements in LLMs and AI toolingKey Responsibilities1. AI Platform Ownership & StrategyOwn the end-to-end AI platform roadmap, architecture, and operating modelDefine the AI platform vision aligned to enterprise technology and business strategyDecide build vs buy vs partner for AI tooling, models, and platformsEnsure the platform supports current and future AI paradigms (GenAI, Agentic AI, AI-augmented development, AI-Ops)2. LLM & AI Technology ManagementOwn lifecycle management of LLMs and SLMs (open-source and commercial)Manage:Model selection and evaluationFine-tuning, prompt strategies, embeddings, and vector storesInference optimization, latency, throughput, and reliabilityEnable multi-model and multi-provider strategy (cloud, on-prem, hybrid)3. Platform Engineering (Cloud & On-Prem)Lead deployment and operations of AI platforms across:Public cloudPrivate cloud / on-prem infrastructureEnsure:High availability, resilience, and scalabilitySecure data handling and isolationCompliance with data residency and regulatory requirementsIntegrate AI platform with:Core banking and enterprise systemsAPIs, event platforms, data platforms, and digital channels4. AI Use Case EnablementWork closely with business, operations, risk, compliance, and technology teams to:Identify high-value AI use casesPrioritize and onboard use cases onto the platformProvide reusable AI services, APIs, and componentsEnable rapid experimentation while maintaining enterprise controlsSupport AI use cases across:Customer experienceOperations & automationRisk, compliance & fraudEngineering productivity (AI-augmented development)5. Run & Change ManagementOwn run operations of the AI platform:Monitoring, performance, incidents, and SLAsModel drift, accuracy, and quality controlsOwn change delivery:Platform enhancementsNew model onboardingCapability upgradesEstablish clear ownership, escalation, and support models6. Cost Management & OptimizationManage AI platform costs across:Model usage (tokens, inference)Compute, storage, and networkingTooling and licensingDefine and enforce:Cost visibility and chargeback/showback modelsUsage limits and optimization strategiesBalance innovation speed vs cost efficiency7. Governance, Risk & ComplianceEmbed Responsible AI principles into the platformEnsure compliance with:Model risk managementData privacy and securityRegulatory and audit requirementsImplement:Model explainability and auditabilityLogging, traceability, and controlsPartner closely with Risk, Compliance, Legal, and Security teams8. Vendor & Ecosystem ManagementManage relationships with:Cloud providersAI vendors and open-source communitiesSystem integrators and partnersStay current with rapid AI market evolution and assess impact to the bankContinuously evaluate emerging technologies and platforms9. Leadership & CollaborationLead and grow a high-performing AI platform engineering teamWork in close partnership with:Enterprise ArchitecturePlatform OwnersData, Digital, Security, and Engineering teamsAct as the AI technology evangelist within the organizationLeadership & DeliveryProven experience owning enterprise-scale platformsStrong run + change ownership mindsetAbility to operate in fast-changing, ambiguous environmentsExperience managing cost, performance, and reliability at scaleBusiness & Stakeholder SkillsStrong ability to translate business needs into AI platform capabilitiesComfortable engaging with senior stakeholders across business and technologyStrong communication and decision-making skillsPreferred ExperienceExperience in banking or regulated industriesExposure to AI governance, model risk, and regulatory frameworksExperience with agentic AI or autonomous workflowsBackground in developer platforms or internal product platforms

Other Ai Matches

Analyst- BB Products Applicants are expected to have a solid experience in handling Job related tasks
Platform Owner (AI Platform) Applicants are expected to have a solid experience in handling Job related tasks
Business Development Manager Applicants are expected to have a solid experience in handling Job related tasks
Senior Relationship Officer - BB Distribution Applicants are expected to have a solid experience in handling Job related tasks