Technical Lead Architect – AI (GenAI, .NET, Azure)

Quick Interview || Technical Lead Architect – AI (GenAI, .NET, Azure) || Full Time ||Miami FL ( 2 DAYS A WEEK ONSITE )



Fulltime (OK for H1B Transfer )Miami FL ( 2 DAYS A WEEK ONSITE ) Role SummaryOwns end-to-end technical direction and client alignment for the agentic AI platform. Primary technical interface with the client, translating business requirements into architecture spanning RAG pipelines, MCP connectors, and hybrid orchestration across Appian, ERP, Deal Cloud, Backstop CRM, Snowflake, and Graph DB.Key Responsibiliti

• esLead architecture across all AI layers: RAG, MCP connectors (action/data), agent orchestrati
• onDefine integration strategy leveraging existing client APIs, minimising custom bui
• ldDrive MCP connector design for Appian, ERP, DealCloud, Backstop, Snowflake, Graph
• DBOwn RAG pipeline decisions: chunking strategy, embedding model, Pinecone retrieval, re-ranki
• ngCollaborate with client stakeholders (business + IT) to validate use cas
• esGuide the offshore team (AI/ML engineers, data engineer

s)Technology Sta

• ck8-10+ years software/AI engineering; 1-2+ years enterprise AI or agentic system desi
• gnHands-on RAG: LlamaIndex or LangChain, Pinecone, Azure Open
• AIStrong API integration: REST, OAu
• thMCP / tool-layer design for LLM agents; FASTMCP a strong pl
• usFinancial services platforms (DealCloud, Backstop, or similar) advantageou

s Preferred Skil

• lsExperience building AI platforms / control planes / orchestration laye
• rsExposure to low-code/no-code platforms (Appian or simila
• r)Experience with AI governance, LLMOps, and enterprise AI rollo
• utFamiliarity with map-based or data visualization platforms and with Neo4j / Cosmos

DBExperience & Profi

• le12–15 years in enterprise architecture and solution desi
• gnProven experience in end-to-end system design and large-scale implementatio

ns


Harsh JainSr.Technical Recr uiterharsh.jain@quantumworldi t.comlinkedin.com/in/harsh-jain-a7b 541b018052256693 EXT
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