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Snowflake

Senior Security Engineer, AI Incident Response

RemoteUnited States only
Published
Role
Security
Experience
Senior
Employment
Full-time
$176k–$253k/yr
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Open to US only. Set where you work from to check your eligibility.

No BS summary

Senior Security Engineer for AI incident response at Snowflake. Requires 5+ years in IR, incident commander experience, threat modeling for AI attacks, cloud-native (AWS/Azure/GCP), SQL and Python. US remote only.

Required skills

SQLPythonAWS/Azure/GCP

Optional skills

CI/CDvector databasesmodel servingAPI gatewaysembedding pipelines

What you'll do

  • Lead 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.
  • Integrate 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.
  • Develop 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.
  • Address tech debt across the AI product stack, ensuring that new Cortex and agentic architectures meet IR readiness requirements from the ground up.
  • Represent the IR team to cloud engineering, AI platform teams, corporate security, and customer-facing business units.
  • Secure modern AI-native codebases operating across multi-cloud environments - including container-based inference services, RAG pipelines, vector stores, and agent orchestration layers.
  • Partner with world-class AI and security engineering teams, providing expert guidance on secure architecture for high-impact AI features and customer-facing AI capabilities.
  • Design and manage response capabilities built into Snowflake's AI operational infrastructure - from model serving endpoints to Cortex Search indexes and Snowpark ML pipelines.
  • Lead with data, code, and automation - build tooling that accelerates detection and response for product security incidents at Snowflake scale.
  • Drive meaningful security outcomes for the customers and enterprises trusting Snowflake with their most sensitive data and AI workloads.

What they require

  • 5+ years of experience in information security, primarily in incident response, security engineering, or product/application security (preferred).
  • Direct experience serving as incident commander for product focused security incidents.
  • Experience leading or actively building an application or security engineering program, with a clear point of view on securing AI/ML systems.
  • Experience 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.
  • Familiarity with the unique data governance and security challenges introduced by LLMs, RAG architectures, and agentic systems.
  • Working knowledge of cloud-native environments (AWS, Azure, GCP) and the threat landscape specific to SaaS and AI platforms.
  • Strong communication skills, with the ability to translate security risk into actionable guidance for product teams.
  • Empathy for developer experience, helping AI engineers ship securely rather than slowing them down.
  • Bachelor's degree in Computer Science or a related field, or equivalent experience.

Benefits

  • Chance to do incident response at the frontier of AI security, on products that thousands of enterprises rely on.
  • Work alongside strong AI and security engineering teams, shaping how Snowflake responds to novel LLM and agentic threats.
  • Direct influence on the trust customers place in Snowflake's AI capabilities.

unique identifier format used by various platforms

🇺🇸 United StatesData & AnalyticsEnterprisetwitter.com/
$176k–$253k/yr