Data & AI Specialist

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

The Role
As an AI & Data Engineer, you will build and operationalize scalable data and AI solutions by translating architectural designs into production-ready systems. You will work on cloud-native platforms, modern data infrastructures, and AI-driven applications, including generative and agentic AI, supporting the full lifecycle from prototype to deployment.

You will:

• Develop and maintain data pipelines and AI-enabled services using cloud-native technologies.

• Implement and integrate machine learning and LLM-powered solutions within enterprise workflows.

• Contribute to real-time and batch data architectures (data lakes, streaming platforms, event-driven systems).

• Support MLOps practices, including model versioning, deployment, monitoring, and lifecycle management.

• Collaborate with solution architects, data scientists, and software engineers to deliver MVPs and production solutions in fast, iterative cycles.

• Build secure, scalable APIs and services for AI and data applications.

• Contribute to containerized and orchestrated deployments (Docker, Kubernetes).

• Work in agile development environments, managing pull requests, code reviews, and CI/CD pipelines.

Your Impact
You will help organizations unlock the value of their data and AI by delivering reliable, scalable, and secure solutions. Your work will enable intelligent automation, real-time insights, and AI-driven decision-making, contributing directly to business innovation and operational efficiency.

By supporting the implementation of generative and agentic AI capabilities, you will help transform enterprise workflows and customer experiences through intelligent, autonomous systems.

Who You Are

A hands-on engineer with a strong foundation in data engineering and applied AI.

Curious, collaborative, and motivated to work in fast-paced, evolving technical environments.

Comfortable working across teams and communicating technical concepts clearly.

Passionate about learning new technologies and contributing to AI-driven innovation.

Customer-oriented and able to adapt solutions to real-world business challenges.

Who You Are

Required Technical and Professional Expertise

• 2–3 years of experience in data engineering, software engineering, or AI engineering roles.

• Strong programming skills in Python; experience with C++, C#, or Rust is a plus.

• Experience with cloud platforms (AWS, Azure, GCP) and cloud-native development.

• Hands-on experience with data platforms (data lakes, data warehouses, streaming systems).

• Familiarity with distributed systems, concurrency, and asynchronous programming.

• Experience with containerization (Docker) and orchestration concepts.

• Knowledge of API design, authentication, and secure execution environments.

• Exposure to MLOps practices, model deployment, and monitoring.

• Familiarity with LLMs, generative AI, and agentic AI concepts.

Preferred Experience

• Experience with AI orchestration frameworks and agent-based systems.

• Exposure to vector databases, semantic search, and retrieval-augmented generation (RAG) patterns.

• Experience working in agile/startup-like environments with rapid MVP delivery.

• Participation in digital transformation or AI-native product development initiatives.

• Strong analytical and problem-solving skills.

Being You

The “Kyn” in Kyndryl means kinship, which represents the strong bonds we have with each other, our customers and our communities. We focus on ensuring all Kyndryls feel included and we welcome people of all cultures, backgrounds, and experiences. Even if you don’t meet every requirement, we encourage you to apply. We believe in growth, and we’re excited to see what you can bring. At Kyndryl, employee feedback has told us that our number one driver of employee engagement is belonging. That sense of belonging — being a valued, respected, trusted member of the team — is fundamental to our culture and fueling great experiences for our customers. This dedication to welcoming everyone into our company means that Kyndryl gives you the ability to thrive and contribute to our culture of empathy and shared success. That’s The Kyndryl Way.

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 powerful tools to chart your career path, personalized development goals aligned with your ambitions, and continuous feedback to keep you inspired and on track, you’ll have everything you need to thrive and evolve. You’ll develop in-demand skills to grow your career and achieve your ambitions with access to cutting-edge learning opportunities—from certifications with Microsoft, Google, and Amazon to coaching and hands-on experiences. And through it all, you’ll be part of a culture that values empathy, restless learning, and a devotion to shared success.

We want you to thrive here—and we’re committed to helping you do just that. Ready to make an impact? Join us and help shape what’s next.

Get Referred!

If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.