AI Engineer Microsoft Fabric & Azure AI Foundry (Contract)

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:  

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  • Data Factory  
  
  
  
  

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  • OneLake  
  
  
  
  

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  • Power BI  
  
  
  
  

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  • Lakehouse and Warehouse environments  
  
  
  
  

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  • Real-Time Analytics  
  
  
  
  

• Build and operationalize generative AI and machine learning workflows  

• Configure and manage:  

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  • Azure AI Services  
  
  
  
  

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  • Azure OpenAI  
  
  
  
  

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  • Model deployment pipelines  
  
  
  
  

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  • 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  

Must have qualifications

To be considered for this role, you must meet the following essential qualifications: 

• 5+ years of experience in cloud engineering, AI engineering, or data platform architecture  

• Strong hands-on experience with:  

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  • Microsoft Fabric  
  
  
  
  

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  • Azure AI Foundry  
  
  
  
  

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  • Azure OpenAI  
  
  
  
  

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  • Azure Machine Learning  
  
  
  
  

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  • 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:  

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  • 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 qualifications  

• Microsoft Azure certifications  

• Experience with:  

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  • Semantic models in Fabric  
  
  
  
  

• 
  
  
  
  • Copilot integrations  
  
  
  
  

• Experience working in regulated or enterprise-scale environments  

• Consulting or stakeholder-facing delivery experience  

If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn. 

The benefits  

This is a temporary full-time position based in New York City. The offered salary range is $75-$110 hourly, depending on experience and location. 

Beyond a competitive compensation package, 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

Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process. 

Your application process

Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we’ll reach out for next steps. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.

⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses.

We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. 

About Valtech

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. 

At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. 

At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. 

Are you ready to create what’s next? Join us.

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