Senior AI Data Scientist — GenAI & Agentic AI

Kyndryl Inc.; Madrid; On-site; EUR 70,000 - 110,000; Full time

Job summary

Kyndryl seeks a Senior Data Scientist to design, build, and deploy advanced AI solutions addressing complex business challenges. The role blends traditional ML with Generative AI, LLMs, and agentic AI within a multidisciplinary team to deliver scalable, reliable outcomes for clients in enterprise environments.

You will lead problem definition, experimentation, production deployment, monitoring, and continuous improvement, shaping AI-driven transformations across industries while upholding

Qualifications

• Bachelor’s or Master’s degree in CS, AI, Math, or related field with solid data science/AI experience.
• Proven experience designing, developing, and evaluating ML/AI models.
• Hands-on expertise with Generative AI, LLMs, embeddings, and RAG workflows.
• Experience with AI agents, tool integration, and orchestration across enterprise systems.
• Strong Python and ML framework skills (PyTorch, TensorFlow, Scikit-learn).

Responsibilities

• Translate complex business needs into actionable AI and Data Science solutions.
• Design and deploy Generative AI applications using LLMs and RAG techniques.
• Develop ML models with rigorous evaluation and monitoring.
• Collaborate with clients and multidisciplinary teams to define AI use cases.
• Lead initiatives across AI lifecycle: data prep, experimentation, deployment, and governance.
• Implement MLOps, LLMOps, and agent-related practices for production systems.

Skills

Generative AI

LLMs

Agentic AI

Python

Data Science

MLOps

Stakeholder communication

Education

Bachelor’s or Master’s in CS/AI/Math

Tools

PyTorch

TensorFlow

Scikit-learn

Hugging Face

LangGraph

LangSmith

Job description

Kyndryl seeks a Senior Data Scientist to design, build, and deploy advanced AI solutions addressing complex business challenges. The role blends traditional ML with Generative AI, LLMs, and agentic AI within a multidisciplinary team to deliver scalable, reliable outcomes for clients in enterprise environments.

You will lead problem definition, experimentation, production deployment, monitoring, and continuous improvement, shaping AI-driven transformations across industries while upholding