Senior Security Engineer, AI Incident Response

Snowflake

Senior Security Engineer leading AI incident response for Snowflake’s Cortex, agents, and AI infrastructure. Securing LLM workloads against emerging threats across multi-cloud products.

Posted 8/12/2026full-time🇺🇸 United StatesSenior💰 $176,000 - $253,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in incident response for AI-specific security threats, with a strong focus on developing and implementing security strategies and tooling across multi-cloud environments. Proficient in threat modeling, security testing, and securing AI/ML systems while effectively communicating security risks to stakeholders.

Highest-signal resume keywords

Incident Response LeadershipAI Security EngineeringThreat Modeling ExpertiseCloud Security KnowledgeAutomation and Tool Development

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Applicant Tracking System Keywords

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Hard Skills

Incident ResponseSecurity EngineeringThreat ModelingSQL ProficiencyPython ProgrammingAI Security TestingData GovernanceSecurity Risk AssessmentAutomation DevelopmentAI/ML System Security

Soft Skills

Strong Communication SkillsEmpathy for Developer Experience

Tools & Technologies

AWSAzureGCPCortexSnowflakeRAG ArchitecturesAI PlatformsModel-Serving EndpointsCortex SearchSnowpark ML

Certifications & Qualifications

GCIAGCIHGCSAGDATCISSPGISPAWS CertificationAzure CertificationGCP Certification

Industry Keywords

AI ThreatsPrompt InjectionModel AbuseData ExfiltrationAgent HijackingSecurity IncidentsApplication SecurityProduct SecurityIncident CommanderAI Operational Infrastructure

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

Lead incident response for product-level security events, focusing on AI-specific threats such as prompt injection, model abuse, agent hijacking, and data exfiltration
Integrate incident response into AI product pipelines across Cortex features, Snowflake Intelligence, and AI-powered developer experiences
Develop and codify AI abuse response strategies, including detection, containment, and remediation playbooks
Address technical debt across the AI product stack and ensure Cortex and agentic architectures meet incident-response readiness requirements
Represent the incident response team to cloud engineering, AI platform teams, corporate security, and customer-facing business units
Secure AI-native codebases across multi-cloud environments, including inference services, RAG pipelines, vector stores, and agent orchestration layers
Advise AI and security engineering teams on secure architecture for high-impact and customer-facing AI capabilities
Design and manage response capabilities across AI operational infrastructure, including model-serving endpoints, Cortex Search indexes, and Snowpark ML pipelines
Build tooling and automation to accelerate detection and response for product security incidents
Drive security outcomes for customers and enterprises using Snowflake data and AI workloads

Requirements

What you’ll need

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
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 data governance and security challenges introduced by LLMs, RAG architectures, and agentic systems
Working knowledge of AWS, Azure, and GCP and SaaS and AI platform threats
SQL proficiency
Experience building automation and tools with common programming languages, with Python preferred
Strong communication skills and ability to translate security risk into actionable product guidance
Empathy for developer experience
Bachelor's degree in Computer Science or a related field, or equivalent experience
Preferred certifications include GCIA, GCIH, GCSA, GDAT, CISSP/GISP, or AWS, Azure, or GCP certifications

Benefits

Comp & perks

Salary range of $176K – $253K
Snowflake states that U.S. job salary and benefits information is available on the Snowflake Careers Site