Lead Cybersecurity - Application Security Architect – AI Models, Frameworks & Implementation
Tasks
- Assess AI security risks and abuse cases
- Define AI security guardrails and controls
- Design secure AI ML application architectures
- Implement AI security automation and integrations
- Integrate security checks into CI/CD pipelines
- Lead AI threat modeling sessions
- Manage secrets and dependencies securely
- Prepare for AI security incident response
- Provide remediation guidance to engineering teams
- Secure source control repositories and workflows
- Support artifact and package management
- Support secure model versioning and deployment
- Validate security controls in production
Perks/Benefits
- N/A
Skills/Tech-stack
AI Foundry | AI Security | API Security | Access Control | Adversarial Resilience | Agentic Workflows | Application Security | Authentication | Authorization | Azure AI | Azure AI Foundry | CI/CD | Data poisoning | DevSecOps | GitHub | Guardrails | Human-in-the-loop | Infrastructure as Code | Input validation | JFrog Artifactory | Jailbreaking | LLM security | Langchain | Machine Learning | Machine Learning Pipelines | Model Serving | Model Serving APIs | Model extraction | Model inversion | OpenAI | Output Validation | Prompt injection | RAG | Retrieval-Augmented Generation | Secure Architecture | Security Testing | Semantic Kernel | The Loop | Threat modeling | Vulnerability Management | “as-code”
Education
N/A
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