about 14 hours ago
Responsibilities
- Design and implement AI solutions using Microsoft Azure AI Foundry within an existing Microsoft Fabric architecture.
- Integrate AI services with Fabric components including Data Factory, OneLake, Power BI, Lakehouse, and Warehouse environments.
- Build and operationalize generative AI and machine learning workflows.
- Configure and manage Azure AI Services, Azure OpenAI, model deployment pipelines, and prompt orchestration.
- Establish secure connectivity between Azure AI Foundry and enterprise data sources.
- Implement governance, RBAC, security, compliance, and cost management controls.
- Develop reusable AI pipelines, APIs, and automation frameworks.
- Collaborate with platform teams to ensure scalability, observability, and production readiness.
- Support CI/CD and Infrastructure-as-Code deployment patterns.
- Provide technical leadership and documentation for AI platform adoption.
Requirements
- 5+ years of experience in cloud engineering, AI engineering, or data platform architecture.
- Strong hands-on experience with Microsoft Fabric and Azure AI Foundry.
- Proficiency in Python and/or C#.
- Experience with REST APIs, SDKs, and AI orchestration frameworks.
- Knowledge of vector databases and Retrieval-Augmented Generation (RAG).
- Familiarity with DevOps practices including GitHub Actions or Azure DevOps.
- Strong understanding of enterprise security and governance.
Benefits
- Flexibility, with remote and hybrid work options (country-dependent).
- Career advancement, with international mobility and professional development programs.
- Learning and development, with access to cutting-edge tools, training, and industry experts.
- Medical, dental, and vision insurance for you and your family, plus employer contributions to Health Savings Accounts.