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We are looking for an experienced AI Engineer to lead the implementation of Azure AI Foundry within an established Microsoft Fabric environment. This role focuses on designing, deploying, and operationalizing enterprise AI capabilities that integrate seamlessly with our existing data platform, governance model, and analytics infrastructure. You will work closely with data engineering, architecture, security, and business stakeholders to build scalable AI solutions using the Microsoft ecosystem. This position is onsite in New York City, 5 days per week.
Job Responsibility
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, Real-Time Analytics
Build and operationalize generative AI and machine learning workflows
Configure and manage: Azure AI Services, Azure OpenAI, Model deployment pipelines, Prompt orchestration and evaluation
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, Azure AI Foundry, Azure OpenAI, Azure Machine Learning, Azure Data Services
Experience integrating AI workloads into enterprise analytics platforms
Proficiency in Python and/or C#
Experience with REST APIs, SDKs, and AI orchestration frameworks
Knowledge of: Vector databases, Retrieval-Augmented Generation (RAG), Prompt engineering, Model evaluation and monitoring
Familiarity with DevOps practices including GitHub Actions or Azure DevOps
Strong understanding of enterprise security and governance
Nice to have
Microsoft Azure certifications
Experience with: Semantic models in Fabric, Copilot integrations
Experience working in regulated or enterprise-scale environments
Consulting or stakeholder-facing delivery experience
What we offer
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