Snowflake Agent Engineer -Pan India-19th Aug (Wed) - Virtual Interview

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

• Strong 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.