Responsibilities Own end-to-end delivery for complex AI engagements Translate business challenges into technical solutions, lead solution design and deployment Operate as a trusted technical partner to customers Own delivery end-to-end, from scoping to production Troubleshoot and enhance system performance, scalability, and reliability Capture deployment learnings, document best practices, and proactively share insights Adapt quickly to emerging technologies and evolving customer requirements Actively contribute to the evolution of Kyndryl’s AI platforms Requirements Demonstrable expertise in Python (or another modern language such as C#, Node.Js or Type Script) Experience working with AI/ML frameworks like Tensor Flow or Py Torch is a plus Solid grasp of the software delivery lifecycle, version control (Git & Git Hub), and data engineering tools such as Pandas and Spark Experience with cloud AI platforms (AWS, Azure, Google AI) and distributed computing architectures Familiarity with community-driven AI tools and libraries,



including Hugging Face Deep technical expertise in one or two domains, with broad understanding across AI/ML, cloud, and consulting Experience designing, building, or integrating multi-agent systems and orchestration frameworks Practical knowledge of deploying RAG architectures and integrating structured and unstructured knowledge sources into AI solutions Knowledge of system-level optimisation and security best practices for scalable AI systems Ability to translate business requirements into technical solutions and communicate technical value to diverse stakeholders Willingness to travel and work on customer premises as required Core Competencies Demonstrates expertise in Python and AI/ML frameworks, with a strong understanding of the software delivery lifecycle and cloud AI platforms. Capable of translating business challenges into technical solutions while ensuring system performance and scalability. #J-18808-Ljbffr

📌 Lead Agentic, Ai Architect (Madrid)
🏢 Jobtailor
📍 Madrid