Description

Role Summary

• 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 management.
• Risk management.
• Participate in status report and governance meetings.

Responsibilities

• Lead architecture across all AI layers: RAG, MCP connectors (action/data), agent orchestration.
• Define integration strategy leveraging existing client APIs, minimizing 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 and Skills

• 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

Key Skills

Education

Any Graduate