Cloud AI & Fabric Infrastructure Engineer

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About Us

At Kohler, our mission is to help people live gracious, healthy, and sustainable lives. We believe that empowering our associates is essential to making this vision a reality. That’s why we invest in personal and professional growth, encourage collaboration across teams and functions, and offer a comprehensive wellness package that supports the well-being of every team member.

Kohler is an equal opportunity employer. Along with competitive compensation and benefits, we offer something more enduring—a legacy built on bold innovation, creative excellence, and a deep commitment to our people and communities. Learn more about our culture and career opportunities at www.kohler.co.in/careers.

Our approach to hiring reflects our commitment to Global Inclusion. We recruit, hire, and promote qualified individuals in all roles without regard to race, religion, age, sex, sexual orientation, gender identity or expression, marital status, national origin, or disability. If you are an individual with a disability and require reasonable accommodation during the recruitment process, please let your recruiter know so we can support you appropriately.

Cloud AI & Fabric Infrastructure Engineer

Job Description

Kohler Co. is a global leader in manufacturing kitchen and bath products, tile and home interiors, and an international host to award-winning hospitality and world-class golf destinations. Kohler Co. values and invests in associates, and recognizes that their talent, capability, and engagement support our innovation and growth. Kohler Co. is committed in creating a workplace that helps associates be their best not merely in their careers, but as a whole person.

We are looking for a skilled Azure AI & Microsoft Fabric Engineer to design, implement, and optimize AI-driven analytics solutions leveraging Microsoft Fabric and Azure AI services. This role combines expertise in data engineering, AI integration, and business intelligence to deliver end-to-end analytics capabilities.

Key Responsibilities:

Design and implement AI/GenAI-ready cloud architectures to support machine learning and large language models.
Integrate AI services (Azure AI Foundry, AWS SageMaker, Google Vertex AI, CoPilot) into cloud solutions for advanced analytics and automation.
Ensure cloud infrastructure can handle high-performance computing for AI workloads, including GPU/TPU clusters.
Collaborate with data teams to optimize AI pipelines and model deployment in cloud environments.
Ensure AI solutions meet security, compliance, and governance requirements.
Collaborate with product, development and operations teams to optimize AI deployments.
Build and support CICD & DevOps integrations for AI & Data solutions partnering with DevOps team.
Build AIOps integration to monitor cloud infrastructure performance and implement cost optimization strategies.
Stay updated on emerging AI and Data technologies and recommend adoption where appropriate.

Required Skills & Qualifications:

Architect and deploy Microsoft Fabric solutions including OneLake, Lakehouse, and Data Warehousing.
Integrate Azure AI services (Azure OpenAI, Cognitive Services, Azure Machine Learning) into analytics workflows.
Build and manage data pipelines using Databricks, Data Factory, Fabric Dataflows, and Synapse.
Develop Power BI dashboards, semantic models, and advanced analytics reports.
Implement data governance and compliance using Microsoft Purview.
Optimize performance and scalability of Fabric workloads.
Automate workflows using Fabric APIs, Azure Functions, and CI/CD pipelines.
Collaborate with data scientists and business teams to deliver actionable insights.
Experience in major cloud platforms (Azure, AWS, GCP).
Strong understanding of networking, virtualization, and cloud security.
Proficiency in Infrastructure as Code (IaC) tools such as Terraform or ARM templates.
Experience with containerization and orchestration (Docker, Kubernetes).
Excellent problem-solving and analytical skills.
Experience with AI/ML services on major cloud platforms (Azure AI, AWS AI, Google AI).
Knowledge of GenAI concepts and ability to design infrastructure for large language models (LLMs).
Familiarity with AI workload optimization, GPU provisioning, and distributed training in cloud environments.
Understanding of AI governance, responsible AI principles, and compliance requirements.

EDUCATION AND EXPERIENCE REQUIREMENTS:

Bachelor’s degree in information technology or related field required.
Strong experience with Microsoft Fabric and Azure AI services.
Expertise with Azure Databricks and Notebooks.
Strong knowledge of data engineering, ETL, and Lakehouse architecture.
Proficiency in Power BI, DAX, and semantic modeling.
Hands-on experience with Azure Machine Learning, Cognitive Services, and OpenAI integration.
Familiarity with PowerShell, Python, SQL, and Spark for data processing.
Understanding of data governance, security, and compliance frameworks.
Experience with CI/CD pipelines and DevOps practices
5+ years of experience in Cloud Infrastructure and solution.
Microsoft Certified: Azure Data Engineer Associate or Azure AI Engineer Associate is a preference.
Experience with Fabric APIs, custom connectors, and advanced analytics.
Knowledge of MLOps and AI lifecycle management.
Relevant certifications such as Azure Solutions Architect Expert, AWS Certified Solutions Architect, or Google Professional Cloud Architect is an added advantage.
Experience with multi-cloud strategies and hybrid environments.
Knowledge of AI/ML and GenAI services for advanced cloud solutions.
Candidate should be flexible to accommodate CST overlap hours whenever necessary for collaboration with business teams as well as cross functional IT teams.
Adaptability to rapidly changing technologies and environments.