Lead Cybersecurity - Application Security Architect – AI Models, Frameworks & Implementation
Tasks
- Assess and remediate AI specific vulnerabilities
- Automate security scanning and policy checks for AI workloads
- Define secure-by-design patterns for AI enabled applications
- Develop and validate AI security guardrails controls
- Develop incident readiness for AI security
- Integrate security controls into AI development pipelines
- Perform AI threat modeling and security reviews
- Provide secure implementation guidance for AI orchestration frameworks
- Review application flows for prompt handling model invocation and data retrieval
- Secure repository workflows secrets handling and dependency management
- Support secure artifact package container and model asset management
Perks/Benefits
- N/A
Skills/Tech-stack
AI Foundry | AI Security | AI threats | API Security | Agentic Workflows | Application Security | Artifact management | Authentication | Authorization | Azure AI | Azure AI Foundry | Azure OpenAI | CI/CD | Container Security | Data poisoning | Dependency Scanning | DevSecOps | GitHub | Infrastructure as Code | JFrog Artifactory | Jailbreaking | LLM security | Langchain | Machine Learning | Machine Learning Pipelines | Model Serving | Model extraction | Model inversion | OpenAI API | Prompt injection | RAG | Retrieval-Augmented Generation | Risk Prioritization | Secrets management | Secure Software | Secure Software Development | Security Automation | Security Testing | Semantic Kernel | Software development | Source Control | Threat modeling | Trust boundaries | Vulnerability Management | “as-code”
Education
N/A
Regions
Countries
States
Cities
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