Valtech
AIEngineer–MicrosoftFabric&AzureAIFoundry
Neural analysis suggests this role is
optimal for Senior candidates.
“AI Engineer – Microsoft Fabric & Azure AI Foundry at Valtech. Skills: Microsoft Fabric, Azure AI Foundry, Azure OpenAI, AI engineering. Design and implement AI solutions. Integrate AI services with Fabric components”
What They're Looking For.
Must Have
5+ years of experience in cloud engineering, AI engineering, or data platform architecture, 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, Proficiency in C#, Experience with REST APIs, Experience with SDKs, Experience with AI orchestration frameworks, Knowledge of Vector databases, Knowledge of Retrieval-Augmented Generation (RAG), Knowledge of Prompt engineering, Knowledge of Model evaluation and monitoring, DevOps practices including GitHub Actions or Azure DevOps, understanding of enterprise security and governance
Nice to Have
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
What You'll Do.
Design and implement AI solutions
Integrate AI services with Fabric components
Build and operationalize generative AI
Build and operationalize machine learning workflows
Configure and manage Azure AI Services
Configure and manage Azure OpenAI
Configure and manage Model deployment pipelines
Configure and manage Prompt orchestration
Configure and manage Prompt evaluation
Establish secure connectivity
Implement cost management controls
Develop reusable AI pipelines
Develop reusable APIs
Develop reusable automation frameworks
Ensure production readiness
Support Infrastructure-as-Code deployment patterns
Provide technical leadership
Provide documentation
How You'll Work.
Team & Collaboration
work closely with data engineering; work closely with architecture; work closely with security; work closely with business stakeholders; Collaborate with platform teams
Full Job Description
Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. The opportunity At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. We are proud of: The work we do and the innovation we drive Our values of share, care and dare Our borderless, global framework, which enables seamless collaboration The role 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. Role 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 Colla
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