AI Platform & DevOps Engineer

Deliverables Establish clear delivery patterns and reusable assets for priority AI use cases. Support at least two to four high-priority MVPs/pilots moving from discovery into controlled pilot or production readiness. Create documentation, reusable code, deployment patterns, evaluation methods and operational practices that reduce future delivery effort. Demonstrate measurable improvements in delivery speed, automation, user productivity, AI quality, operational efficiency or cost avoidance. Build credibility with business stakeholders by delivering practical, secure and usable AI solutions rather than conceptual prototypes. Technical Skills and Capabilities Azure platform services, Azure AI Foundry, Azure OpenAI and cloud application hosting CI/CD using GitHub Actions, Azure DevOps or equivalent Docker, containers, Kubernetes, Azure Container Apps or equivalent Infrastructure-as-code using Terraform, Bicep or ARM templates Monitoring and observability using Azure Monitor, Application ...