Found Description
Responsibilities
- Advise on and assess the security posture of AI/ML systems, including LLMs and GenAI pipelines
- Lead threat modeling exercises for AI workloads, covering prompt injection and data poisoning
- Guide secure integration of SaaS AI services and APIs like OpenAI and Azure OpenAI
- Evaluate controls for data ingestion pipelines, RAG architectures, and vector databases
- Serve as a security advisor to business stakeholders and AI/ML engineers
- Track emerging AI security research and adversarial techniques
- Produce security architecture documentation and risk assessments
- Develop training and awareness content regarding AI-specific risks
Requirements
- 5+ years of experience in security engineering (Cloud Security or AppSec)
- Hands‑on experience securing Agentic AI solutions in an enterprise context
- Familiarity with AWS Bedrock, AWS SageMaker, Azure AI Foundry, o...