Data & AI Specialist

Overview

Who We Are . At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. We are committed to moving forward and building a more equitable, inclusive world for our employees, customers and communities.

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.

• 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.

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

Diversity is a core value. We welcome people of all cultures, backgrounds, and experiences. Our inclusion networks are part of creating a workplace where everyone can bring their whole self to work and support an equitable culture.

What You Can Expect

With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. We offer benefits that give you choice and support you and your family wherever you are in your life journey. Our employee learning programs provide access to certifications from Microsoft, Google, Amazon, Skillsoft, and more. Through our volunteering and giving platform, you can donate, start fundraisers, volunteer, and connect with over 2 million non-profit organizations. We invest in you so that together we will all succeed.

Get Referred! If you know someone that works at Kyndryl, during the application process select “Employee Referral” and enter your contact\'s Kyndryl email address.