Senior Security Architect, Applied Field Engineering (AFE)

Key Responsibilities

• Drive strategic engagements focused on the Security Architecture, ensuring robust foundations across Identity, Data, and Infrastructure for applications built on Snowflake.AI
• 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.
• Architect trusted Agentic AI frameworks where Cortex Agents operate within governed boundaries, autonomously orchestrating tasks while inheriting Snowflake's native security perimeter.
• Deploy Cortex Guard and AI Observability to filter harmful content and provide transparent, explainable AI interactions through rigorous monitoring and tracing.
• Ensure AI governance by enforcing Role-Based Access Control (RBAC) and data masking across all AI-driven insights and automated actions.
• 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.
• Drive the creation of relevant technical content and tooling to showcase security best practices, accelerate new use case deployments, and adoption of new platform functionality.
• Influence product roadmaps by serving as the Voice of the Field to Snowflake's product and engineering teams, translating customer needs into actionable feedback.

Core Experience

• 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
• Relevant Security Skill Sets including Generative AI Security, Agentic AI Governance, Data Privacy for AI, Platform Observability, Identity and Access Management (IAM), Secure Networking, Container and Kubernetes Security, Governance, Risk, and Compliance (GRC), and Compliance & Standards

Qualifications

• 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
• CISSP certification (nice to have)

Benefits

Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes:

• medical, dental, vision, life, and disability insurance
• 401(k) retirement plan
• flexible spending & health savings account
• at least 12 paid holidays
• paid time off
• parental leave
• employee assistance program
• and other company benefits

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