Use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation
Job Summary
Use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation.
Join us an AI Engineer to join our Private Bank & Wealth Management (PBWM) GenAI team, where innovation is already delivering real impact.
You’ll work on high‑profile, strategic initiatives, contributing to end‑to‑end GenAI solutions that are already delivering measurable value for our clients, while helping solve complex problems and drive tangible business outcomes.
Matching Summary
Use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation.
Skills & Requirements
Must-have
Python & AI Engineering Frameworks
Agentic AI & Orchestrated Reasoning
RAG Architecture & Implementation
Production-Grade AI Application Engineering
Cloud-Native AI Deployment on AWS
Nice-to-have
End-to-End MLOps / LLMOps
Model Fine-Tuning Expertise
Enterprise-Grade Governance & Security
Cost-Optimised AI Architecture
Collaborate with business stakeholders
Key Requirements
Expert Python & AI Engineering Frameworks
Hands-on experience designing agentic AI workflows
Practical experience designing RAG solutions
Proven ability to build full-stack AI applications