Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

Lead the implementation of Azure AI Foundry within an established Microsoft Fabric environment. Design, deploy, and operationalize enterprise AI capabilities that integrate seamlessly with our existing data platform, governance model, and analytics infrastructure. Collaborate with data engineering, architecture, security, and business stakeholders to build scalable AI solutions using the Microsoft ecosystem.

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

Requirements

5+ years of experience in cloud engineering, AI engineering, or data platform architecture
Experience integrating AI workloads into enterprise analytics platforms
Experience working in regulated or enterprise-scale environments
Consulting or stakeholder-facing delivery experience

Skills

Microsoft Fabric
Azure AI Foundry
Azure OpenAI
Azure Machine Learning
Azure Data Services
Python
C#
REST APIs
SDKs
AI orchestration frameworks
Vector databases
Retrieval-Augmented Generation (RAG)
Prompt engineering
Model evaluation and monitoring
DevOps practices
GitHub Actions
Azure DevOps
Enterprise security
Governance
Microsoft Azure certifications
Semantic models in Fabric
Copilot integrations

Location

New York City
Onsite

Work Type

Full-time
Onsite (5 days per week)

Experience Level

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

Education Level

Microsoft Azure certifications

Salary/Compensations

$160,000-220,000 annually

Benefits

Competitive compensation package
Flexibility with remote and hybrid work options (country-dependent)
Career advancement with international mobility
Professional development programs
Learning and development with access to cutting-edge tools
Learning and development with access to training
Learning and development with access to industry experts
Medical insurance
Dental insurance
Vision insurance
Employer contributions to Health Savings Accounts

About the Company

Valtech is an experience innovation company and trusted partner to recognized brands.
Offers an environment for continuous learning, meaningful impact, and professional growth.
Drives innovation and operates with values of share, care, and dare.
Features a borderless, global framework for seamless collaboration.
Unlocks new value in a digital world by blending crafts, categories, and cultures.
Drives transformation for leading organizations at the intersection of data, AI, creativity, and technology.
Fosters a workplace where everyone has support to thrive, grow, and innovate.

Equal Opportunity

Committed to inclusion and accessibility.
Provides reasonable accommodations during the interview process upon request.
Does not require age, gender, marital status, or headshot in applications.
Reviews all candidates based on skills, experience, and potential.