AI Architect / MLOps EngineerRole Summary
Design, govern, and scale AI systems on Azure with strong operational and compliance
foundations.
Key Responsibilities
Define AI reference architecture using Azure AI services.
Design MLOps pipelines for versioning, evaluation, and rollout.
Implement model lifecycle governance, safety, and policy controls.
Configure monitoring for accuracy, drift, latency, and cost.
Enable CI/CD for AI workloads.
Guide engineering teams on scalable AI patterns.
Required Skills
Azure AI Foundry, Azure OpenAI, Azure ML concepts.
MLOps, CI/CD, model evaluation frameworks.
Azure Monitor, Application Insights, Log Analytics.
Security, RBAC, private endpoints, compliance-by-design.

Keyskills: Azure OpenAI Azure AI Foundry MLOps compliance-by-design. Log Analytics. Azure ML concepts. private endpoints Security RBAC CI/CD Application Insights model evaluation frameworks. Azure Monitor
About Trigent: Trigent is a leading provider of IT services and solutions, headquartered in Boston, USA, with development centers in India. We are committed to delivering high-quality software solutions and services to our clients across the globe. Our expertise spans a wide range of industries, and...