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Agentic AI Solutions Architect
MISSISSAUGA · CA
$121K–$171K
Full-time
SENIOR
About the Role
Citi is seeking an Agentic AI Solutions Architect to lead the development of multi-tenant agentic ecosystems and custom fine-tuning applications. The role involves full-stack engineering with Python and Angular, implementing advanced RAG architectures, and collaborating with subject matter experts to translate enterprise workflows into automated agent-driven code.
Responsibilities
- Lead development of custom AI platform components using Python and Angular
- Code and optimize multi-tenant intelligent agents using ReAct, ReWOO, and Google ADK
- Build Model Context Protocol (MCP) servers to ensure clean integration layers
- Develop advanced RAG architectures including GraphRAG, LightRAG, and RAPTOR
- Integrate with graph and vector databases like Neo4j and pgvector
- Design LLM instructions and classification logic for intent handling
- Act as Forward Deployed Engineer working with SMEs to automate workflows
Requirements
- 5+ years of experience in AI/ML with at least 2+ years in Generative AI
- 3+ years of leadership experience managing technical teams
- Extensive hands-on experience with AWS services and infrastructure related to AI/ML
- Strong portfolio showcasing successful delivery of AI solutions into production
- Bachelor’s degree in Computer Science, Data Science, AI, or equivalent
Citi
New York · US · 126277+ employees
Citi is a global bank that provides financial services enabling growth and economic progress. Its core activities include safeguarding assets, lending money, making payments, and accessing capital markets on behalf of clients.
