AI Platform Engineer

Who We Are

At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world’s leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people—Kyndryls—that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive.

The Role

AI/ML Engineer – Azure Platform Modernization As part of a large-scale platform modernization journey, the organization is strengthening its AI and Machine Learning capabilities to deliver intelligent, secure, and scalable digital solutions on Microsoft Azure. This transformation focuses on embedding enterprise-grade AI capabilities within the platform engineering landscape—enabling automation, improving data security, and accelerating outcomes through responsible AI adoption. To support this initiative, we are seeking an experienced AI/ML Engineer. This role will be pivotal in designing, building, and operationalizing a central AI Platform and its supporting capabilities, including AI SDK development, data masking, PII detection, and document intelligence. The engineer will integrate Azure AI services with modern DevOps practices to ensure performance, reliability, and compliance with enterprise governance standards.

Responsibilities

The AI/ML Engineer will be responsible for:

• Designing and assessing serverless compute architectures for AI workloads

• Implementing scalable Azure Databricks Serverless environments

• Developing and maintaining CI/CD pipelines in Azure DevOps for AI and Databricks workloads

• Ensuring reliability, observability, monitoring, and optimization of Databricks and serverless services

• Collaborating closely with Data Science, Cloud Engineering, and DevOps teams as an independent expert—providing consultancy, technical alignment, and best practices for operationalizing AI models efficiently

• Required Experience & Skills

• Proven experience designing and deploying AI/ML and data engineering solutions on Azure

• Deep understanding of Azure Databricks architecture, including serverless compute capabilities

• Hands-on experience with serverless technologies such as Azure Functions, Event Grid, and Logic Apps

• Proficiency in Python, PySpark, and SQL for data engineering and model integration

• Strong knowledge of CI/CD, MLOps, and Infrastructure-as-Code using Azure DevOps and Terraform

• Solid understanding of cloud cost management, scaling strategies, and workload optimization

• Familiarity with enterprise security, data protection, and compliance requirements for AI workloads

• Ability to design and implement observability, monitoring, and alerting for Databricks Serverless environments

• Integrated Mistral AI large language models (LLMs) into a corporate fintech environment

• What You Can Expect

• Your career with us isn’t just a job—it’s an adventure with purpose. We offer a dynamic, hybrid-friendly culture that supports your well-being and empowers you to grow. Our Be Well programs are thoughtfully designed to support your financial, mental, physical, and social health—because we know that when you feel your best, you do your best.

• From your very first day, you’ll dive into impactful work that powers the systems our customers rely on every day. You won’t just contribute—you’ll make a difference, tackling meaningful projects that sharpen your skills and fuel your growth.

• We’re here to champion your journey. With powe