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Job · Senior

AI Architect (Agentic AI)

Software Architect • Senior • Hybrid • Full-time • Spain Madrid, Spain

Kyndryl is looking for a senior AI Architect to lead the design of generative and agentic AI architectures that drive efficiency and transformation across delivery teams.

Responsibilities

  • ▹Design and evolve end-to-end AI and Agentic AI architectures that enable innovation at enterprise scale
  • ▹Shape Kyndryl's strategy, translating objectives into coherent, high-impact architectures
  • ▹Act as a technical authority, embedding quality, scalability and security into every solution
  • ▹Guide multidisciplinary teams, from data scientists to engineers, toward architectural excellence and real business value
  • ▹Bridge the gap between business strategy and technology
  • ▹Foster a culture of technical rigor, creativity and responsible AI, where emerging technologies are tested, adopted and turned into value
  • ▹Act as a technical reference and decision-maker, aligning stakeholders and guiding architectural choices

Requirements

  • ▹7+ years of experience designing and delivering large-scale AI or ML architectures in complex enterprise environments
  • ▹Proven experience building and governing end-to-end AI systems, including production deployment
  • ▹Deep knowledge of AI and ML architectures, cloud-native solutions and/or distributed systems
  • ▹Familiarity with multi-agent frameworks (LangGraph, CrewAI, AutoGen, Google ADK) and RAG architectures (LangChain, LlamaIndex)
  • ▹Knowledge of at least one major cloud provider (Azure, AWS, GCP) and associated AI platforms (e.g., Azure ML, Vertex AI, OpenShift AI, Databricks)
  • ▹Solid understanding of MLOps frameworks (MLflow, Kubeflow, Airflow)
  • ▹Demonstrated leadership skills, with the ability to drive architectural direction and influence cross-functional technical teams

Nice to have

  • ▹Exposure to edge AI or on-premise AI deployments in regulated industries
  • ▹Strong presentation and storytelling skills to articulate architectural visions to technical and executive audiences
  • ▹Advanced studies (Master's or PhD) in AI, machine learning or cloud architecture
  • ▹Professional certifications in cloud architectures (Azure, AWS or GCP) and MLOps frameworks
  • ▹Continuous learning mindset to stay current on emerging AI and Agentic AI technologies

Soft skills

LeadershipInfluencing cross-functional teamsPresentation and storytellingCommitment to continuous learning

What we offer

  • ▹Flexible, hybrid-friendly culture
  • ▹Be Well programs supporting financial, mental, physical and social health
  • ▹Personalized development goals, career tools and continuous feedback
  • ▹Learning opportunities, including certifications with Microsoft, Google and Amazon
  • ▹Employee referral program

About the company

Kyndryl runs and reimagines the mission-critical technology systems of the world's leading businesses.

Education: Számítástechnikai mérnöki, mesterséges intelligencia, adattudományi vagy rokon műszaki területen szerzett alap- vagy mesterfokozat

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