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Job Purpose:
Lead large‑scale Operations Digitalization and AI‑led transformation across core Operations units including Trade Finance, Compliance, Retail Banking Operations, Corporate Banking Operations, and Shared Services.
Skills and Experience needed:
The role is accountable for defining and executing the Agentic AI and AI/ML engineering vision for Operations, enabling straight‑through processing, decision automation, productivity uplift, risk reduction, and regulatory compliance. The incumbent will act as a bridge between Operations, Technology, and Data, ensuring business outcomes are realised through scalable, secure, and responsible AI solutions.
AI / GenAI / Agentic AI
• Strong hands‑on experience with AI/ML and GenAI solution design and delivery
• Expertise in RAG architectures, LLM fine‑tuning, prompt engineering, and guardrails
• Hands‑on exposure to Agentic AI frameworks such as LangChain, AutoGen, CrewAI, and multi‑agent systems
Operations & Digitalisation
• Proven experience in digitising large‑scale banking Operations (Trade, Compliance, Retail or Corporate Ops preferred)
• Strong understanding of document‑heavy, rule‑driven, and exception‑based Operations processes
MLOps & Engineering
• MLFlow, CI/CD pipelines, AIOps, Azure DevOps
• Docker, Kubernetes / AKS
• Databricks, PySpark, Azure Data Factory
Cloud & Data Platforms
• Microsoft Azure (Azure OpenAI, Blob, Key Vault, Data Factory, Azure ML)
• Exposure to AWS / SageMaker is a plus
Programming & Frameworks
• Python, PySpark, SQL, REST APIs
• FastAPI, Flask, Django, Gradio
Experience & Soft Skills
• Experience in regulated environments (banking / financial services strongly preferred)
• Strong stakeholder management with Operations, Risk, Audit, and Senior Leadership
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