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Senior Security Engineer, AI Incident Response
SnowflakeSenior Security Engineer leading AI incident response for Snowflake’s Cortex, agents, and AI workloads. Securing LLM systems, RAG pipelines, and multi-cloud product infrastructure.
Posted 8/12/2026full-timeMenlo Park • California, Washington • 🇺🇸 United StatesSenior💰 $176,000 - $253,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in incident response for AI-specific security threats, including prompt injection and model abuse, while integrating security practices into multi-cloud environments. Proficient in developing playbooks and tooling for AI security, with strong communication skills to guide product teams on security risks.
Highest-signal resume keywords
Incident Response LeadershipAI/ML Security ExpertiseThreat Modeling and Security TestingAutomation and Tool DevelopmentCloud Security Knowledge
ATS Keywords
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Hard Skills
Incident ResponseSecurity EngineeringThreat ModelingSQL ProficiencyPython ProgrammingAI/ML SecurityAutomation DevelopmentSecurity TestingData GovernanceIncident Command
Soft Skills
Strong Communication Skills
Tools & Technologies
AWSAzureGCPCortexSnowflakeSaaS PlatformsCI/CDVector DatabasesAPI GatewaysLLM-integrated Applications
Certifications & Qualifications
GCIAGCIHGCSAGDATCISSPGISPAWS CertificationAzure CertificationGCP Certification
Industry Keywords
AI SecurityIncident ResponseModel ServingAdversarial MLAgent ManipulationLLM JailbreakingRAG ArchitecturesAI Dependency Supply-Chain AttacksEmbedding PipelinesAgentic Systems
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformPythonSQL
About the role
Key responsibilities & impact- Lead incident response for product-level security events focused on AI-specific threats such as prompt injection, model abuse, agent hijacking, and AI-enabled data exfiltration
- Integrate incident response into Cortex, Snowflake Intelligence, and AI-powered developer experience pipelines from design through deployment
- Develop detection, containment, and remediation playbooks for LLM misuse, adversarial inputs, and AI-assisted attacks
- Address security and incident-response readiness technical debt across the AI product stack
- Represent incident response to cloud engineering, AI platform, 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 AI features
- Design and manage response capabilities across model-serving endpoints, Cortex Search indexes, and Snowpark ML pipelines
- Build data-, code-, and automation-driven tooling to accelerate product security incident detection and response
- Drive security outcomes for customers and enterprises using Snowflake AI workloads
Requirements
What you’ll need- 5+ years of experience in information security, primarily 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 AI dependency supply-chain attacks
- Familiarity with data governance and security challenges involving LLMs, RAG architectures, and agentic systems
- Working knowledge of AWS, Azure, GCP, SaaS platforms, and AI platform threats
- SQL proficiency
- Experience building automation and tools with common programming languages, Python preferred
- Strong communication skills for translating security risk into actionable product-team guidance
- Bachelor's degree in Computer Science or a related field, or equivalent experience
- Bonus: experience securing AI/ML infrastructure, model serving, vector databases, embedding pipelines, API gateways, and LLM-integrated applications
- Bonus: experience building agentic incident response capabilities
- Bonus: understanding of attacker TTPs, adversarial ML, agent manipulation, and LLM jailbreaking
- Bonus: familiarity with CI/CD and secure AI release lifecycle patterns
- Preferred certifications include GCIA, GCIH, GCSA, GDAT, CISSP/GISP, or AWS, Azure, or GCP certifications
Benefits
Comp & perks- 🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Snowflake Website LinkedIn All Job Openings 5001 - 10000 employees Founded 2012 💼 Consulting 📣 Marketing Consulting
- Marketing
- Cloud Computing Snowflake is a cloud-based data-warehousing company that provides a platform for data storage, processing, and analytics. It allows businesses to store data in a centralized location and perform complex queries and analytics on that data efficiently. Snowflake is designed to handle a wide range of data workloads and can scale dynamically to meet the needs of growing businesses. Senior Security Engineer, AI Incident Response Job not on LinkedIn 🔥 0 minutes ago 🏢🏡 Menlo Park – Hybrid 💵 $176k - $253k / year ⏰ Full Time 🟠 Senior 👮♂️ Cybersecurity / Security Engineer 🦅 H1B Visa Sponsor AWS Azure Cloud Google Cloud Platform Python SQL Apply Now Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
- Lead incident response for product-level security events focused on AI-specific threats such as prompt injection, model abuse, agent hijacking, and AI-enabled data exfiltration
- Integrate incident response into Cortex, Snowflake Intelligence, and AI-powered developer experience pipelines from design through deployment
- Develop detection, containment, and remediation playbooks for LLM misuse, adversarial inputs, and AI-assisted attacks
- Address security and incident-response readiness technical debt across the AI product stack
- Represent incident response to cloud engineering, AI platform, 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 AI features
- Design and manage response capabilities across model-serving endpoints, Cortex Search indexes, and Snowpark ML pipelines
- Build data-, code-, and automation-driven tooling to accelerate product security incident detection and response
- Drive security outcomes for customers and enterprises using Snowflake AI workloads 🎯 Requirements
- 5+ years of experience in information security, primarily 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 AI dependency supply-chain attacks
- Familiarity with data governance and security challenges involving LLMs, RAG architectures, and agentic systems
- Working knowledge of AWS, Azure, GCP, SaaS platforms, and AI platform threats
- SQL proficiency
- Experience building automation and tools with common programming languages, Python preferred
- Strong communication skills for translating security risk into actionable product-team guidance
- Bachelor's degree in Computer Science or a related field, or equivalent experience
- Bonus: experience securing AI/ML infrastructure, model serving, vector databases, embedding pipelines, API gateways, and LLM-integrated applications
- Bonus: experience building agentic incident response capabilities
- Bonus: understanding of attacker TTPs, adversarial ML, agent manipulation, and LLM jailbreaking
- Bonus: familiarity with CI/CD and secure AI release lifecycle patterns
- Preferred certifications include GCIA, GCIH, GCSA, GDAT, CISSP/GISP, or AWS, Azure, or GCP certifications Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates About us Is Remote Rocketship legit? Privacy policy Terms of service Job board SEO course Remote Job Search MasterClass AI Apply Copilot OpenClaw job finder Find jobs using your resume Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs