Agentic AI Solutions Architect

Sourced from onnetpulse.com

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.

• 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

• 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