GenAI Architect

• Owns end to end client delivery for the project team

• 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, DealCloud, Backstop CRM, Snowflake, and Graph DB.

• Project Prioritization and SPOC for Persistent for any queries
• Stakeholder mgmt
• Risk mgmt
• Participate in status report and governance meet.

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)

• 12 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