Senior Security Architect, Applied Field Engineering (Ai)

TL;DR

Senior Security Architect, Applied Field Engineering (AI): Driving strategic customer engagements and building security architecture foundations across Identity, Data, and Infrastructure for applications built on Snowflake. Focus on AI security, governance of Autonomous Agents, and data privacy for AI.

Location: US-NY-New York; US-GA-Atlanta

Salary: $172K - $225.7K

Company

Snowflake is powering the era of the agentic enterprise as the leading AI and BI platform.

What you will do

• Drive strategic engagements focused on the Security Architecture, ensuring robust foundations across Identity, Data, and Infrastructure for applications built on Snowflake.
• Support customer strategy for secure AI adoption, leveraging Snowflake Cortex to bring state-of-the-art LLMs directly to customer data within a secure environment.
• Deliver workshops and hands-on engagements to transition customers from legacy infrastructure to advanced SIEM Augmentation, Log Ingestion (Otel/Logs into Snowflake), and Cybersecurity Data Lake.
• Build repeatable reference architectures and frameworks for Identity (IAM), Data Governance, Row-Level Security, and Encryption to accelerate well-architected deployments.
• Guide customers through end-to-end journeys for BC/DR (Business Continuity/Disaster Recovery), including multi-region deployment patterns and measurable recovery outcomes.
• Influence product roadmaps by serving as the Voice of the Field to Snowflake's product and engineering teams, translating customer needs into actionable feedback.

Requirements

• 5+ years of industry experience in Data, Security, Networking, Infrastructure or AI Engineering.
• Strong technical communications skills with the ability to deliver compelling demos, whiteboard sessions, and presentations to both technical and business stakeholders.
• The ability to act as a trusted advisor and establish credibility with senior leadership and enterprise architects.
• Deep understanding of LLM security risks (e.g., prompt injection, data leakage) and mitigation strategies using tools like Cortex Guard.
• Expertise in governing Autonomous Agents, ensuring "Human-in-the-loop" controls and auditability for agent-driven actions.
• Strong background in aligning security programs with regulatory frameworks (e.g., SOC 2, HIPAA, GDPR) and managing security risk through continuous monitoring and auditing.

Nice to have

• Understanding of emerging AI regulations (e.g., EU AI Act) and their impact on enterprise data strategy.
• Familiarity with how Snowflake’s AI Trust Center maps to SOC2, HIPAA, and HITRUST requirements for AI/ML workloads.

Culture & Benefits

• Scaling our team to help enable and accelerate our growth.
• Looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.