System Analyst (GenAI)

JDRole SummaryWe are seeking a highly skilled professional with deepunderstanding of enterprise-level GenAI platforms and strong business acumen inthe banking domain. The ideal candidate will play a key role in driving UOB’sGenAI initiative by designing, coordinating, and implementing GenAI or AgenticAI–based solutions across business units.Key ResponsibilitiesEnterprise GenAI Platform ExpertiseDemonstrate strong technical and functional understanding of enterprise-grade Generative AI platforms.Translate platform capabilities into practical use cases tailored to bank operations and strategic priorities.Work closely with technology teams to ensure alignment with architectural, security, and compliance standards.Banking Domain & AI Use-CaseDevelopmentApply knowledge of the banking domain to conceptualize impactful Agentic AI solutions.Identify opportunities for automation, intelligent decisioning, and AI‑driven workflow optimization.Develop solution blueprints that align AI capabilities with business objectives.Stakeholder Coordination &Value Chain ManagementEngage and coordinate with cross‑functional stakeholders across business, technology, compliance, and operations.Establish and manage value chains and delivery frameworks for Agentic AI–driven initiatives.Ensure smooth adoption, governance alignment, and measurable value realization for all deployed solutions.Domain Expertise:Good understanding of Banking Business Function and Processes,  Enterprise GenAI architectures, tools, and platforms.Proven experience in banking or financial services, especially around digital transformation or AI initiatives.Hands‑on experience with GenAI/LLM-based solutions, preferably Agentic AI architectures.Excellent stakeholder management, communication, and cross-functional coordination skills.Ability to connect business needs with AI capabilities to deliver meaningful outcomes.Technical Skills:Enterprise GenAI Platform & Architecture: Expertise around LLM orchestration, RAG patterns (hybrid search, vector DBs), tool/function calling, multi‑tenant isolation, and API gatewaysAgentic AI Design & Engineering: Analyse and understanding of multi‑agent systems with planners, critics, and executors; implement tool ecosystems ( KYC/AML services, document parsers, workflow engines), and safety guardrails (policy engines, content filters, PII redaction).Banking-Grade Security, Risk & Compliance: Embed controls aligned to MAS , data residency, encryption (at rest/in transit), RBAC/ABAC, secrets management, audit trails, model/content governance (human‑in‑the‑loop), lineage, and explainability for regulated use cases (credit ops, compliance, ops risk).Evaluation, Observability & LangOps/MLOps: Establish eval suites around task success, hallucination, toxicity, bias, prompt/model drift detection, and continuous delivery of prompts, agents, and tools.Stakeholder Integration & Value Realization: Translate business workflows into AI blueprints; integrate with bankLeadership & Communication:Over 3 years of experience in Banking data and analytics solutions, with functional and technical delivery resposnibilities.Excellent communication skills with both technical and non-technical stakeholders.Proven ability to lead defect triage, resolution, and reporting processes.Qualifications:Bachelor’s degree in computer science, Engineering, or Post graduation in management with relevant experienceStrong problem-solving, analytical thinking, and solution design capabilities.Self-motivated, results-driven, and a collaborative team player with a passion for learning and innovation.