Partner with customers to understand business challenges and translate them into high‑quality, fit‑for‑purpose technical solutions, prioritising the right outcome over the fastest one.
Diagnose and enhance system performance, scalability, and reliability.
Capture deployment learnings, document best practices, and share insights to improve Kyndryl’s core platforms and frameworks.
Adapt quickly to emerging technologies and evolving customer requirements by engaging in ongoing professional development.
Demonstrable expertise in Python (or another modern language such as C#, Node.js or TypeScript); experience with AI/ML frameworks like TensorFlow or PyTorch is a plus.
Solid grasp of the software delivery lifecycle, version control (Git & GitHub),



and data engineering tools such as Pandas and Spark.
Experience with cloud AI platforms (AWS, Azure, Google AI) and distributed computing architectures.
Deep technical expertise in one or two domains, with broad understanding across AI/ML, cloud, and consulting.
Practical knowledge of deploying RAG architectures and integrating structured and unstructured knowledge sources into AI solutions.
Degree‑level qualification in Computer Science, Informatics, Data Science, Engineering, or a closely related discipline — or equivalent professional experience.

📌 Lead Agentic (Madrid)
🏢 Kyndryl
📍 Madrid