Senior AI Engineer (GenAI)

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.

Who You Are

• Bachelor's Degree in Computer Science, Software Engineering, Data Science, Mathematics, Telecommunications, or a related field.
• 4+ years of experience in software engineering, data science, machine learning, or artificial intelligence.
• Hands-on experience with Python development.
• Experience working with Large Language Models (LLMs) and Generative AI solutions.
• Practical experience developing or implementing RAG-based applications.
• Strong analytical and problem-solving skills.
• Professional level of English and Spanish.

• Experience with Agentic AI frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar.
• Experience with vector databases and embeddings.
• Knowledge of MLOps or LLMOps practices.
• Experience deploying AI solutions in production environments.

The Role

At Kyndryl, we are helping clients transform their businesses through the adoption of Artificial Intelligence. As a Senior AI Engineer, you will work on the design, development, and deployment of innovative AI solutions leveraging Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI frameworks.

You will collaborate with multidisciplinary teams to build production-ready AI solutions, explore emerging technologies, and help clients unlock value from AI-driven innovation.

• Develop AI-powered applications using Large Language Models (LLMs).
• Design and implement Retrieval-Augmented Generation (RAG) solutions.
• Build and integrate AI agents and multi-agent workflows.
• Develop scalable services and APIs to support AI use cases.
• Participate in the end-to-end lifecycle of AI projects, from prototyping to production deployment.
• Evaluate new models, frameworks, and AI technologies.
• Contribute to Proofs of Concept (PoCs) and innovation initiatives.
• Benchmark AI models and assess solution performance, cost, and scalability.
• Explore emerging trends in Agentic AI and Generative AI.
• Integrate AI solutions with enterprise applications, databases, and business processes.
• Collaborate with architects, platform engineers, and cloud specialists.
• Support deployment and monitoring activities across cloud environments.

We are looking for curious, hands-on engineers who are passionate about Artificial Intelligence and eager to work with the latest technologies.