C

Agentic AI Solutions Architect

Citi

mississauga, peel region, Canada Full-time July 16, 2026

Opportunity Description

Key Responsibilities

  1. Core Platform & Application Development

    • Full-Stack Engineering: Lead the development of custom AI platform components, including full-stack applications utilizing Python and Angular (e.g., building and maintaining internal LLM/SLM fine-tuning planes and experiment tracking dashboards).
    • Agentic Frameworks: Code and optimize multi-tenant intelligent agents utilizing modular orchestration patterns such as ReAct and ReWOO, and frameworks like Google's Agent Development Kit (ADK).
    • Strict Architectural Implementation: Develop and enforce clean, decoupled integration layers. Build Model Context Protocol (MCP) servers ensuring a strict communication flow: Agents interact solely with MCP servers, and MCP servers interact solely with APIs to retrieve data. Direct database access from agents or MCP servers is strictly prohibited.
  2. Advanced Data Retrieval & Logic Engineering