Description

Architect and deploy production-grade agentic AI platforms on Snowflake, owning the full lifecycle from modular agent design to enterprise governance and observability.

This role is on-site.

Responsibilities

• Design reusable, modular AI agents and chain them to handle complex data lifecycle tasks.
• Build user-facing agentic workflows and deploy them as enterprise applications.
• Implement enterprise-grade security including SSO, RBAC, and a centralized Agent Catalog.
• Integrate comprehensive monitoring, logging, and guardrails for reliability and human-in-the-loop oversight.
• Collaborate with data engineers and architects to define and enforce governance frameworks.

Required Skills

• 10+ years in software or data engineering.
• 3+ years building LLM-based systems.
• 2+ years designing and operating agentic AI systems in production serving live business users.
• Deep hands-on experience with Snowflake, including Snowpark, Streamlit, and Cortex AI.
• Proven track record with multi-agent orchestration, state management, and tool calling.
• Expertise in DBT, SQL, Python, and modern ETL/ELT pipeline orchestration.
• Strong understanding of IAM, SSO (SAML/OIDC), and RBAC in regulated environments.
• Experience with MCP or OpenAI-compatible standards for agent interfaces.

Preferred Skills

• Production experience with agent-generated code execution, including sandboxed validation and CI/CD.
• Built and operated agent evaluation harnesses and LLM observability tools in production.

Key Skills

Education

Bachelor's degree