What are the responsibilities and job description for the GenAI Technical Lead Architect with (.NET and Azure) Miami, FL, Hybrid position at TestingXperts?
GenAI Technical Lead Architect AI (GenAI, .NET, Azure)
Location: Miami, FL, Hybrid
(Travel client site 2 a week)
Type: Fulltime
Role Summary
Owns 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 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
Location: Miami, FL, Hybrid
(Travel client site 2 a week)
Type: Fulltime
Role Summary
Owns 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 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