Ilias Fotopoulos

GenAI/ML Delivery Consultant · Solutions Architect

Summary

Customer-focused solutions architect and trusted technical advisor specializing in designing and deploying scalable Data & AI systems. Deep hands-on experience across the modern GenAI stack (RAG, agents, MCP) and the full Azure and AWS platforms, backed by a decade delivering production machine learning on Oracle, Hadoop, Spark, and Palantir Foundry in highly regulated financial environments.

Experience

GenAI/ML Delivery Consultant

Mar 2026 – Present

Amazon Web Services (AWS) · Zürich, Switzerland

  • Deliver GenAI and machine-learning solutions for enterprise customers within AWS Professional Services.

Lead AI Engineer, Chapter Lead

Jun 2023 – Feb 2026

UBS · Zürich, Switzerland

  • Led two high-impact generative-AI initiatives as both architect and chapter lead, overseeing a team of eight engineers.
  • UBS Legal AI — Led the architecture for the bank's first internal GenAI solution handling confidential client data, processing 26M+ documents across terabytes of data to let lawyers conduct research significantly faster, using Azure AI Search and OpenAI.
  • Client-facing GenAI platform — Contributed to the architecture of UBS's first external-facing GenAI solution (RAG over Azure AI Search + Azure OpenAI), delivering a 20% case-deflection rate and meaningfully reducing call-center load. Live at ubs.com.

Data Analytics Engineer

Aug 2021 – May 2023

Credit Suisse AG · Zürich, Switzerland

  • Designed and implemented a scalable credit-risk-indicators framework on Palantir Foundry, using Spark for high-performance ETL to modernize risk analytics.
  • Built and deployed a production-scale, ML-driven Financial Deterioration Score with Spark ML, directly improving the bank's early risk-detection capabilities.

Data Scientist

May 2016 – Jul 2021

Credit Suisse AG · Zürich, Switzerland

  • Developed machine-learning models across sales and marketing use cases, including a mortgage model generating ~960k CHF profit per annum.
  • Built customer churn, propensity-to-trade, and segmentation models to target engagement with the right content at the right time.
  • Delivered an investments affinity model that outperformed rule-based selection by a factor of 3.

Skills

Certifications

Education

MEng, Electrical & Computer Engineering

2009 – 2015

National Technical University of Athens · Athens, Greece

  • Average grade 8.64/10 — top 5% of class. Major: Computer Engineering · Minor: Biomedical Engineering.

Languages