Valtech

experience innovation

SeniorAIEngineerMicrosoftFabric&AzureAIFoundry

$160–220k New York, New York, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior AI Engineer – Microsoft Fabric & Azure AI Foundry at Valtech. Skills: Microsoft Fabric, Azure AI Foundry, AI engineering, Python. Design and implement AI solutions. Integrate AI services with Fabric components”

Industry & Context.

experience innovation
Eligibility Requirements

This position is onsite in New York City, 5 days per week.

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, C#, Experience with REST APIs, SDKs, AI orchestration frameworks, Knowledge of: Vector databases, Retrieval-Augmented Generation (RAG), Prompt engineering, Model evaluation and monitoring, DevOps practices including GitHub Actions or Azure DevOps, enterprise security and governance

Nice to Have

Microsoft Azure certifications, Semantic models in Fabric, 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 and machine learning workflows

Configure and manage Azure AI Services

Model deployment pipelines

Prompt orchestration and evaluation

Establish secure connectivity

and cost management controls

Develop reusable AI pipelines

and automation frameworks

and production readiness

Support CI/CD and Infrastructure-as-Code deployment patterns

Provide technical leadership and documentation

How You'll Work.

Team & Collaboration

Work closely with data engineering, architecture, security, and 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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