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Santander AI Assist — Enterprise GenAI Ecosystem

GenAI Engineer · 2026 – Present

As GenAI Engineer at Intuitive Technology Partners, working inside Santander's enterprise AI Assist ecosystem — a governed, multi-repository GenAI platform in a regulated banking environment. Focus spans architecture understanding, knowledge transfer, technical documentation, and preparing production contributions across interconnected AI-assistant repositories.

Key Metrics & Outcomes

  • Enterprise GenAI delivery in a regulated banking environment
  • AI Assist monorepo & interconnected-repository architecture mapping
  • Technical walkthrough documentation & KT sessions
  • Business-requirement discovery with engineering + client teams
  • AI-first engineering within enterprise governance & access control

Project Overview

Situation

Enterprise GenAI platforms in banking operate under strict governance, security, and release constraints — contributing requires deep understanding of an interconnected monorepo ecosystem rather than treating AI as a standalone chatbot feature.

Task

Ramp into Santander's AI Assist environment: map repository architecture and integration boundaries, complete KT, document technical walkthroughs, and prepare for governed production contribution.

Action

Explored the AI Assist monorepo and interconnected repositories to map capabilities, dependencies, and integration boundaries; participated in KT, architecture discussions, and internal demos; produced technical walkthrough documentation; set up enterprise development access (VDI, AWS/application permissions, tooling).

Result

Built production context inside a governed enterprise GenAI stack — moving from integrating AI into products to engineering directly on an enterprise assistant ecosystem.

Technology Stack

  • Python
  • FastAPI
  • GenAI / LLM Applications
  • RAG
  • Agentic AI
  • AWS
  • Git/GitHub
  • Enterprise Auth
  • Monorepo Architecture