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
As part of a large-scale platform modernization journey, we are strengthening our AI and Machine Learning capabilities to deliver intelligent, secure, and scalable digital solutions on Micr osoft Azure. In this pivotal role, you will focus on embedding enterprise-grade AI capabilities within the platform engineering landscape—enabling automation, improving data security, and accelerating business outcomes through responsible AI adoption.
We are seeking an experienced AI/ML Engineer to design, build, and operationalize a central AI Platform. You will spearhead supporting capabilities, including AI SDK development, data masking, PII detection, and document intelligence, while seamlessly integrating Azure AI services with modern DevOps practices to ensure performance, reliability, and compliance with enterprise governance standards.
What You Will Do
Design and assess serverless compute architectures for complex AI workloads.
Implement and manage scalable Azure Databricks Serverless environments tailored to enterprise data needs.
Develop, automate, and maintain CI/CD pipelines in Azure DevOps for robust AI and Databricks workloads.
Ensure reliability, observability, monitoring, and optimization of Databricks and serverless services.
Act as an independent expert collaborating closely with Data Science, Cloud Engineering, and DevOps teams.
Provide continuous consultancy, technical alignment, and best practices for operationalizing AI models efficiently.
Your Future at Kyndryl
Becoming an AI/ML Engineer at Kyndryl is an excellent gateway to many different paths. You’ll be creating a well-rounded skillset while gaining professional certifications and qualifications. You can evolve horizontally into other technical or non-technical areas, or move vertically into senior leadership or specialized domain roles like Cloud Architecture or Principal AI Engineering. There are many different types and flavors of roles at Kyndryl, so everyone can find the opportunity that suits them best.
Who You Are
You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others.
Required Skills and Experience
Proven experience designing and deploying AI/ML solutions on Azure, including deep knowledge of Azure Databricks Serverless architectures.
Hands-on proficiency with serverless technologies such as Azure Functions, Event Grid, and Logic Apps.
Strong programming skills in Python, PySpark, and SQL for data engineering and model integration.
Expertise in CI/CD, MLOps, and Infrastructure-as-Code (IaC) utilizing Azure DevOps and Terraform.
Solid understanding of cloud cost management, scaling strategies, observability, monitoring, and alerting for cloud environments.
Knowledge of enterprise security, data protection, and compliance requirements for AI workloads.
Proven experience integrating large language models (LLMs), such as Mistral AI, into corporate or fintech environments.
Preferred Skills and Experience
Advanced Microsoft certifications, such as Azure AI Engineer Associate or Azure Data Engineer Associate.
Practical experience developing AI SDKs and utilizing Document Intelligence or similar AI-driven data extraction…