We're looking for a security professional to embed themselves in our AI/GenAI journey— from early design through to production. You’ll be the person who makes sure our AI platforms, APIs, agents, and integrations are built securely and responsibly. Day-to-day responsibilities include reviewing AI architectures, setting guardrails around data usage (especially sensitive or regulated data), monitoring risks such as prompt injection, data leakage, and model misuse, as well as shaping AI governance standards. You will work closely with Product Security and engineering teams to ensure controls are real and enforceable, and you will handle logging, monitoring, and auditability of AI usage.
Must‑Have
- A solid background in security—application, cloud, or architecture
- Hands‑on experience with security reviews and defining technical controls
- Working understanding of GenAI and LLM‑based solutions
- Familiarity with data protection and privacy principles
- Ability to translate security concerns into clear, actionable technical requirements
- Strong instinct for identifying and prioritising risk
- Comfortable challenging implementations and validating them against requirements
- Collaborative across security, engineering, and data teams
Would Be Great If You Have
- Experience with AWS and/or Azure, particularly AWS Bedrock or similar GenAI platforms
- Databricks experience— securing ML pipelines, notebooks, jobs, and managing access control
- Knowledge of OWASP Top 10 for LLMs, SAIF, MCP (incl. MCP‑38), or A2A architectures
- Background in DevSecOps or MLOps environments
Benefits
- Continuous training and certifications
- GRiT Prizes: GRiT Baby Gift, GRiT Birthday Prize, GRiT Recommendation Prize
- Exclusive partnerships and discounts (gym, health, finance, etc.)
- Unique events and community engagements
- Welcoming office environment with refreshments, recreational options, and more
- Competitive base compensation
- Pay for performance incentives