# Senior Security Engineer, Incident Response

**Company:** [Snowflake](https://hotfix.jobs/companies/snowflake)
**Location:** Remote
**Role:** Security Engineering
**Salary:** $176k – $253k/yr
**Experience:** 5+ years
**Skills:** Incident Response, Ai Security, Threat Modeling, Security Testing, Prompt Injection, Llm Security, RAG, AWS, Azure, GCP, SQL, Python, Kubernetes, Vector Databases, CI/CD
**Posted:** 2026-08-11

> Leads product security incident response for Snowflake’s AI and agentic products, developing detection, containment, remediation, and automation capabilities. Requires 5+ years in security, incident command experience, cloud expertise, and knowledge of AI/ML attack surfaces.

## Job Description

## Responsibilities
- Lead incident response for product-level security events, focusing on AI-specific threats such as prompt injection, model abuse, agent hijacking, and data exfiltration through AI workloads.
- Integrate incident response into AI product pipelines across Cortex AI, Cortex Agents, Snowflake Intelligence, and AI-powered developer experiences.
- Define detection, containment, and remediation playbooks for LLM misuse, adversarial inputs, and AI-assisted attacks.
- Ensure Cortex and agentic architectures meet incident-response readiness requirements.
- Represent incident response across cloud engineering, AI platform, corporate security, and customer-facing teams.
- Secure AI-native codebases across multi-cloud environments, including containerized inference services, RAG pipelines, vector stores, and agent orchestration layers.
- Guide secure architecture for AI features and customer-facing AI capabilities.
- Build and manage response capabilities across model-serving endpoints, Cortex Search indexes, and Snowpark ML pipelines.
- Develop automation and tooling to accelerate detection and response for product security incidents.

## Requirements
- 5+ years of experience in information security, incident response, security engineering, or product/application security.
- Experience serving as incident commander for product-focused security incidents.
- Experience building or leading an application or security engineering program, with a perspective 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, and GCP, plus SaaS and AI platform threats.
- SQL proficiency and experience building automation with programming languages, preferably Python.
- Strong communication skills and ability to translate security risks into actionable product guidance.
- Bachelor's degree in Computer Science or a related field, or equivalent experience.

## Nice-to-haves
- Experience securing AI/ML infrastructure, including model serving, vector databases, embedding pipelines, API gateways, and LLM-integrated applications.
- Experience building agentic incident-response capabilities, including skills, agents, and pipelines.
- Understanding of attacker TTPs, adversarial ML, agent manipulation, and LLM jailbreaking.
- Familiarity with CI/CD and secure release lifecycle patterns for AI feature pipelines.
- GCIA, GCIH, GCSA, GDAT, CISSP, GISP, AWS, Azure, or GCP certifications.

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