Key Responsibilities
- Support and review AI/GenAI use cases from design to production
- Define security requirements for AI platforms, APIs, agents, and integrations
- Perform architecture and security reviews of AI solutions
- Validate integrations and deployments of AI solutions against security requirements
- Identify and mitigate risks such as:
.Prompt injection / jailbreaks
.Data leakage / exposure
.Model misuse or abuse
- Define guardrails for data usage, especially for sensitive or regulated data
- Ensure logging, monitoring, and auditability of AI usage
- Contribute to AI governance and security standards
- Work closely with Product Security and engineering teams to enforce controls
Required Experience
- Background in security (application, cloud, or architecture)
- Understanding of GenAI / LLM-based solutions
- Experience with security reviews and defining technical controls
- Knowledge of data protection and privacy principles
Preferred Experience
- Familiarity with AWS and/or Azure environments
- Experience with AWS Bedrock or similar GenAI platforms
- Experience with Databricks, including securing:
.ML workflows and pipelines
.Notebooks and jobs
.Access control and data permissions
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