Senior Security Engineer, AI Incident Response

Snowflake
United States, United States Minor Outlying Islands
Workplace: RemoteFull timeUSD 176,000 - 253,000 annuallyFunction: CybersecurityExperience: 5+ yearsEducation: bachelorsSkills: ["Communication","Empathy","Leadership","Collaboration","Problem-solving"]

Lead and architect product security incident response for AI-focused threats, integrating incident response capabilities across Snowflake’s AI products and underlying pipelines. You’ll define detection, containment, and remediation playbooks for LLM misuse and agent attacks, improve IR readiness across new AI architectures, and build automation and tooling that accelerates response at Snowflake scale. Partner with cloud, AI platform, and corporate security teams to secure AI-native codebases in multi-cloud environments.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Snowflake
Snowflake
3 days ago

Senior Security Engineer, AI Incident Response

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 19 hours agoStatus: Live

Job Summary

Lead and architect product security incident response for AI-focused threats, integrating incident response capabilities across Snowflake’s AI products and underlying pipelines. You’ll define detection, containment, and remediation playbooks for LLM misuse and agent attacks, improve IR readiness across new AI architectures, and build automation and tooling that accelerates response at Snowflake scale. Partner with cloud, AI platform, and corporate security teams to secure AI-native codebases in multi-cloud environments.
Location: United States, United States Minor Outlying Islands
Workplace: Remote
Employment Type: Full time
Job Function: Cybersecurity
Seniority: Mid level

Key Responsibilities

  • •Lead incident response for product-level security events focused on AI threat vectors such as prompt injection, model abuse, agent hijacking, and AI-driven data exfiltration.
  • •Integrate incident response into AI product pipelines by partnering with teams shipping Cortex features and AI-powered experiences from design through deployment.
  • •Develop and codify an AI abuse response strategy, including detection, containment, and remediation playbooks for LLM misuse and adversarial inputs.
  • •Address technical debt across the AI product stack to ensure new Cortex and agentic architectures meet incident response readiness requirements.
  • •Build tooling and automation that accelerate detection and response for product security incidents at Snowflake scale.

Pay and Benefits

Salary: USD 176,000 - 253,000 annually

Key Requirements

  • •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 building a security engineering program with a clear point of view on securing AI/ML systems.
  • •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.
  • •Bachelor’s degree in Computer Science or a related field, or equivalent experience.
Experience:5+ yearsInformation securityIncident responseProduct/application securityAI/ML securitySaaS securityLLM security
Education:Bachelor's in Computer Science
Skills:CommunicationEmpathyLeadershipCollaborationProblem-solving
Certifications:GCIAGCIHGCSAGDATCISSPGISPAWS certificationsAzure certificationsGCP certifications
Tech Stack:AI incident responsePrompt injectionLLM securityCortex AICortex AgentsSnowflake IntelligenceRAGVector storesAgent orchestrationContainer-based inferenceSnowpark ML pipelinesSQLPythonAWSAzureGCPCI/CDAPI gateways

Company Brief

Snowflake
Provides a cloud-native data platform for data warehousing, data engineering, data science, and analytics, enabling organizations to store, process, and share large-scale data across multiple cloud providers with elastic scalability and performance.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Bozeman, United States
Founded: 2012
WebsiteLinkedIn