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 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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