Senior Snowflake AI/Agent engineering role responsible for creating semantic models, verified queries, skills and intelligent data-agent capabilities over curated enterprise data sources.

Key Responsibilities
- Design and implement AI-powered data agents and semantic layers on Snowflake to enable intelligent query, discovery and automation use cases.
- Create and maintain semantic models, business glossaries, verified metrics, governed query patterns and reusable knowledge assets.
- Develop retrieval, chunking, indexing and orchestration frameworks for structured and unstructured enterprise data.
- Curate and integrate enterprise knowledge from sources such as ServiceNow, Ariba, Atlan and other business platforms.
- Optimize agent response quality, performance, latency, cost and scalability.
- Collaborate with data engineers, architects, business SMEs and UX teams to ensure trusted and governed AI outcomes.
- Implement security, access control, data lineage,



observability and monitoring capabilities for AI-agent solutions.
- Support testing, evaluation, deployment, monitoring and continuous improvement of agent solutions.

Mandatory Skills
- Robust experience with Snowflake, SQL and modern data-platform engineering concepts.
- Hands-on understanding of semantic models, semantic layers, business metrics and metadata-driven querying.
- Experience with GenAI, LLM integration, RAG architectures, embeddings, vector search and retrieval patterns.
- Ability to work with structured and unstructured data, including chunking and metadata enrichment approaches.
- Strong Python and SQL programming skills.
- Understanding of enterprise governance, security, privacy and reliability considerations for AI-enabled solutions.

📌 Snowflake Agent Engineer (Delhi)
🏢 Tata Consultancy Services
📍 Delhi