Staff Security Engineer, Enterprise AI
Core
Technical leader for AI governance, security, and enablement within Enterprise Security, partnering with engineering to secure and scale AI adoption across the organization.
Role type
Staff Security Engineer (AI Governance & Strategy)
Builds
Secure experimentation infrastructure, custom MCP integrations, observability/compliance pipelines, and company-wide AI adoption tracking systems.
Domain
Enterprise Security / Generative AI / Platform Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
AI governance strategy, risk assessment frameworks, platform administration (Anthropic/OpenAI), object-oriented programming (Python/Go/Java), MCP integration design, SIEM/observability engineering, data pipeline automation, stakeholder management, technical communication.
Preferred skills
LLM internals (transformers, RAG, prompt injection risks), AI enablement program experience, data residency/DLP policy design, developer advocacy.
Technologies
Anthropic, OpenAI, MCP, Snowflake, Datadog, Splunk, OAuth, SIEM
Responsibilities
Drive company-wide AI strategy and governance; administer AI platforms and evaluate connectors; build secure experimentation infrastructure and custom integrations; lead AI pilot programs; engineer observability and compliance logging; automate adoption tracking; deliver AI training and enablement resources.
Seniority
Staff, hands-on IC with strategic scope
