Senior AI Engineer – Microsoft Fabric & Azure AI Foundry

Valtech • New York, NY

2d • $160,000 - $220,000 • Onsite

About The Position

Valtech is seeking an experienced AI Engineer to lead the implementation of Azure AI Foundry within an established Microsoft Fabric environment. This role involves designing, deploying, and operationalizing enterprise AI capabilities that integrate with existing data platforms, governance models, and analytics infrastructure. The engineer will collaborate with data engineering, architecture, security, and business stakeholders to build scalable AI solutions using the Microsoft ecosystem. This is an onsite position in New York City, requiring 5 days per week.

Requirements

• 5+ years of experience in cloud engineering, AI engineering, or data platform architecture
• Strong hands-on experience with Microsoft Fabric
• Strong hands-on experience with Azure AI Foundry
• Strong hands-on experience with Azure OpenAI
• Strong hands-on experience with Azure Machine Learning
• Strong hands-on experience with 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
• Knowledge of Retrieval-Augmented Generation (RAG)
• Knowledge of Prompt engineering
• Knowledge of 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
• Experience with 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, and Real-Time Analytics
• Build and operationalize generative AI and machine learning workflows
• Configure and manage Azure AI Services, Azure OpenAI, model deployment pipelines, and 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed