AI Engineer – Microsoft Fabric & Azure AI Foundry

ValtechNew York, NY
$75 - $110Onsite

About The Position

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.

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 Haves

  • 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

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, 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

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
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