Chief AI & DevOps Architect

Tasks

• Advise executives on AI DevOps security strategy
• Configure logging and auditability for AI workloads
• Define controlled data access policies
• Define enterprise AI architecture
• Design Azure AI platform architectures
• Design secure ci/cd pipelines
• Embed security into AI and DevOps lifecycle
• Ensure regulatory, privacy, and security compliance
• Ensure secure resilient scalable auditable AI solutions
• Establish secure development workspaces
• Govern Microsoft Azure centric AI DevOps architecture
• Implement AI traceability auditability accountability
• Implement release governance quality controls
• Lead safe AI development practices
• Manage identity access and privileged access
• Mentor architects engineers and platform teams
• Own AI architecture guardrails
• Provision pipelines and environments with Infrastructure as Code
• Set model usage policies

Perks/Benefits

• N/A

Skills/Tech-stack

AI Services | Access Management | Agentic AI | Audit Logging | Azure AI | Azure AI Services | Azure Machine Learning | Azure OpenAI | CI/CD | Claude Code | Conditional Access | Cost Management | Data Protection | Data Sovereignty | DevOps | Entra ID | GitHub Copilot | IaC | Identity and Access Management | Identity and access | Infrastructure as Code | Key Management | Machine Learning | Microsoft Azure | Microsoft Defender | Microsoft Entra | Microsoft Entra ID | Microsoft Purview | Privileged Access | Privileged Access Management | Secrets management | Secure CI/CD | Software Engineering | “as-code”