Principal Cloud and AI Security Architect
Tasks
- Create reusable secure integration patterns
- Design identity and access management architectures
- Design secure cloud foundational controls
- Design secure retrieval augmented generation solutions
- Drive enterprise security strategy
- Enforce Zero Trust and least privilege
- Establish AI model usage governance
- Implement model monitoring
- Lead design and deployment of AI architectures
- Lead security team and governance frameworks
- Manage compliance risk mitigation
- Mentor security teams
- Migrate onprem datacenter securely to cloud
- Prevent data leakage
- Protect AI APIs and data access controls
- Secure AI data pipelines and training environments
- Secure AI workloads in AWS and Azure
- Secure cloud adoption
- Secure inference APIs
- Secure model context protocol deployments
- Support audit readiness
Perks/Benefits
- Dental insurance
- Life insurance
- Long-term disability
- Medical insurance
- Paid time off
- Retirement savings plan
- Short-term disability
- Vision insurance
- Volunteer time off
- Wellness program
Skills/Tech-stack
AI Security | API Security | AWS | Access Controls | Access Management | Adversarial Attacks | Agent architecture | Agent to Agent | Agent to Agent Architecture | Agile | Audit Readiness | Azure | Bias detection | Cloud Foundational Controls | Cloud Security | Cloud adoption | Data Drift | Data Security | Data access | Data access controls | Data pipeline | Data pipeline security | Defense in Depth | Design Patterns | Governance | HIPAA | Identity and Access Management | Identity and access | Inference API | Inference API Security | LLM integration | Least Privilege | MCP | Model Context Protocol | Model Monitoring | Model poisoning | NIST | OnPremises | Pipeline Security | Project Management | RAG | Regulatory Compliance | Retrieval-Augmented Generation | Secure Cloud | Secure Cloud Adoption | Security design | Security design patterns | Zero Trust
Education
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