GenAI Technical Lead Architect with (.NET and Azure) Miami, FL, Hybrid
Indexed description
Key Responsibilities
Lead architecture across all AI layers: RAG, MCP connectors (action/data), agent orchestration
Define integration strategy leveraging existing client APIs, minimising custom build
Drive MCP connector design for Appian, ERP, DealCloud, Backstop, Snowflake, Graph DB
Own RAG pipeline decisions: chunking strategy, embedding model, Pinecone retrieval, re-ranking
Collaborate with client stakeholders (business + IT) to validate use cases
Guide the offshore team (AI/ML engineers, data engineers)
Technology Stack
8-10+ years software/AI engineering; 1-2+ years enterprise AI or agentic system design
Hands-on RAG: LlamaIndex or LangChain, Pinecone, Azure OpenAI
Strong API integration: REST, OAuth
MCP / tool-layer design for LLM agents; FASTMCP a strong plus
Financial services platforms (DealCloud, Backstop, or similar) advantageous
Preferred Skills
Experience building AI platforms / control planes / orchestration layers
Exposure to low-code/no-code platforms (Appian or similar)
Experience with AI governance, LLMOps, and enterprise AI rollout
Familiarity with map-based or data visualization platforms and with Neo4j / Cosmos DB
Experience & Profile
12 15 years in enterprise architecture and solution design
Proven experience in end-to-end system design and large-scale implementations
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