ResponsibilitiesOwn end-to-end delivery for complex AI engagementsTranslate business challenges into technical solutions, lead solution design and deploymentOperate as a trusted technical partner to customersOwn delivery end-to-end, from scoping to productionTroubleshoot and enhance system performance, scalability, and reliabilityCapture deployment learnings, document best practices, and proactively share insightsAdapt quickly to emerging technologies and evolving customer requirementsActively contribute to the evolution of Kyndryl’s AI platformsRequirementsDemonstrable expertise in Python (or another modern language such as C#, Node.Js or TypeScript)Experience working with AI/ML frameworks like TensorFlow or PyTorch is a plusSolid grasp of the software delivery lifecycle, version control (Git & GitHub), and data engineering tools such as Pandas and SparkExperience with cloud AI platforms (AWS, Azure, Google AI) and distributed computing architecturesFamiliarity with community-driven AI tools and libraries,



including Hugging FaceDeep technical expertise in one or two domains, with broad understanding across AI/ML, cloud, and consultingExperience designing, building, or integrating multi-agent systems and orchestration frameworksPractical knowledge of deploying RAG architectures and integrating structured and unstructured knowledge sources into AI solutionsKnowledge of system-level optimisation and security best practices for scalable AI systemsAbility to translate business requirements into technical solutions and communicate technical value to diverse stakeholdersWillingness to travel and work on customer premises as requiredCore CompetenciesDemonstrates 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.

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