Description

Design and deploy production-grade AI solutions on Azure, owning the full lifecycle from prototype to monitoring.

Responsibilities

• Build and iterate AI workflows using Azure AI Studio, focusing on solution quality through experimentation and evaluation.
• Implement end-to-end AI pipelines, including data preparation, model selection, prompt design, and deployment to Azure environments.
• Monitor and troubleshoot AI solutions in production, driving continuous improvement through feedback loops and iterative releases.
• Collaborate with cross-functional teams to define use cases, success metrics, and acceptance criteria for AI features.
• Document architectures, workflows, and operational runbooks to support maintainability and knowledge sharing.

Required Skills

• 5+ years of experience delivering software or cloud solutions with hands-on exposure to Azure AI services.
• Strong proficiency with Azure Machine Learning, Azure Cognitive Services, and Azure OpenAI Service.
• Practical experience with Prompt Engineering and MLOps principles.
• Working knowledge of CI/CD pipelines for deploying and maintaining AI solutions in Azure.
• Strong understanding of cloud fundamentals, APIs, integration patterns, and production-grade engineering practices.
• Bachelor’s degree in Computer Science, IT, Engineering, or a related field.

Preferred Skills

• Experience designing solution architectures for AI workloads on Azure, including environment setup and deployment patterns.
• Familiarity with responsible AI practices, including safety, privacy, bias considerations, and governance controls.

Key Skills

Education

Bachelor's degree