Senior Security Engineer, AI Incident Response

Навыки

Обязанности

• 01Lead incident response for product-level security events, with deep focus on AI-specific threat vectors including prompt injection, model abuse, agent hijacking, and data exfiltration through AI workloads
• 02Integrate IR into AI product pipelines - work directly with teams shipping Cortex features, Snowflake Intelligence, and AI-powered developer experiences to embed security requirements from design through deployment
• 03Develop and codify our AI abuse response strategy - defining detection, containment, and remediation playbooks for LLM misuse, adversarial inputs, and AI-assisted attacks targeting Snowflake customers
• 04Address tech debt across the AI product stack, ensuring that new Cortex and agentic architectures meet IR readiness requirements from the ground up
• 05Represent the IR team to cloud engineering, AI platform teams, corporate security, and customer-facing business units
• 06Secure modern AI-native codebases operating across multi-cloud environments - including container-based inference services, RAG pipelines, vector stores, and agent orchestration layers
• 07Partner with world-class AI and security engineering teams, providing expert guidance on secure architecture for high-impact AI features and customer-facing AI capabilities
• 08Design and manage response capabilities built into Snowflake's AI operational infrastructure - from model serving endpoints to Cortex Search indexes and Snowpark ML pipelines
• 09Lead with data, code, and automation - build tooling that accelerates detection and response for product security incidents at Snowflake scale
• 10Drive meaningful security outcomes for the customers and enterprises trusting Snowflake with their most sensitive data and AI workloads

Требования

• 015+ years of experience in information security, primarily in incident response, security engineering, or product/application security (preferred)
• 02Direct experience serving as incident commander for product focused security incidents
• 03Experience leading or actively building an application or security engineering program, with a clear point of view on securing AI/ML systems
• 04Experience with threat modeling and security testing across AI attack surfaces, including prompt injection, indirect injection, model inversion, embedding extraction, and supply chain attacks on AI dependencies
• 05Familiarity with the unique data governance and security challenges introduced by LLMs, RAG architectures, and agentic systems
• 06Working knowledge of cloud-native environments (AWS, Azure, GCP) and the threat landscape specific to SaaS and AI platforms
• 07SQL proficiency, plus experience building automation and tools with common programming languages (Python preferred)
• 08Strong communication skills, with the ability to translate security risk into actionable guidance for product teams
• 09Empathy for developer experience, helping AI engineers ship securely rather than slowing them down
• 10Bachelor's degree in Computer Science or a related field, or equivalent experience

Условия

• 01Work at the frontier of AI security on products that thousands of enterprises rely on
• 02Work alongside strong AI and security engineering teams
• 03High-impact and highly visible work with direct influence on customer trust
• 04Opportunity to shape how Snowflake responds to novel LLM and agentic threats
• 05Build the tooling and playbooks that define response for AI-native systems