Creative Technologist – Ai Lab Prototyper And Strategist

Who We Are At Kyndryl, we run and reimagine the mission‑critical technology systems that drive advantage for the world’s leading businesses. We are at the heart of progress, with proven expertise and a continuous flow of AI‑powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people—Kyndryls—that means doing purposeful work that powers human progress. The Role We are hiring two to three Creative Technologists to join the AI Innovation Lab in Madrid. The lab is a global network of designers, engineers, researchers, writers, and strategists that help organisations make sense of complexity and create experiences that are useful, responsible, and buildable. The role is part studio, part workshop, and part proving ground working in short, focused cycles: framing a challenge, making possibilities tangible, testing prototypes, and deciding what to stop, iterate, pilot, or scale. Responsibilities Shape the right challenge. Work with sponsors and users to locate the real decision inside a broad brief, understand the current system, and define the behaviour, outcome, or learning the engagement should create. Design and facilitate co‑creation. Create participatory sessions for executives, subject‑matter experts, frontline users, designers, and engineers. Enable people with different levels of confidence and authority to contribute meaningfully. Make ideas tangible early. Use sketches, scenarios, conversation flows, simulations, low‑code tools, or working software to give participants something concrete to react to and improve. Prototype with people. Build during and between sessions, incorporating feedback while the problem and trade‑offs are still visible. Choose fidelity deliberately: each artifact should answer a question or unlock a decision. Design human‑agent collaboration. Create clear patterns for autonomy, approvals, escalation, uncertainty, exceptions, rollback, and human override so users remain informed and in control. Test value and feasibility together. Explore desirability, business value, data readiness, integration, security, operational impact, cost, and maintainability before recommending a pilot. Turn learning into direction. Synthesize observations and prototype evidence into opportunity areas, principles, requirements, success measures, and a credible stop/iterate/pilot/scale recommendation. Create a clean path to delivery. Partner with FDEs, architects, security, data, consult partners and delivery leads so validated concepts have an owner, documented assumptions, and an appropriate route forward. Help build the Lab as a capability. Contribute reusable methods, starter environments, component libraries, evaluation sets, showcases, and decision rituals so every engagement starts faster and leaves knowledge behind. Who You Are – Required Technical and Professional Expertise Human‑centered and systemic thinking – apply human‑centered design and design thinking techniques at a strategic level, connecting user behaviour and lived experience with business goals, operating models, incentives, technology constraints, and wider organisational consequences. Strategy through making – use artifacts and experiments to reduce ambiguity, surface assumptions, and improve decisions rather than treating prototyping as a final presentation step. Participatory facilitation – prepare and lead executive workshops and hands‑on making sessions, read the room, rebalance participation, and adapt the plan without losing the intended outcome. Cross‑disciplinary fluency – collaborate credibly with consult, design, business, FDEs, data, architecture, security, and client teams without pretending to be the deepest expert in every discipline. AI experience literacy – understand how generative and agentic systems behave, where they fail, and how to design for uncertainty, trust, feedback, and appropriate human control. Responsible experimentation – make data use, model limitations, permissions, safety, auditability, and ethical trade‑offs explicit, proportionate to the risk and maturity of the prototype. Evidence‑led storytelling – communicate a compelling possibility while distinguishing what has been observed, assumed, simulated, validated, and still needs to be learned. Enterprise pragmatism – move quickly while respecting governance, security, accessibility, and the realities of complex organisations. Preferred Technical and Professional Expertise – Depth in at least one profile Creative Technologist – AI Strategy Advanced problem framing, systems thinking, design research, or experience strategy. Design of co‑creation formats that move groups from divergent perspectives to shared choices. Synthesis of qualitative evidence into insights, hypotheses, principles, opportunity areas, and roadmaps. Conversational and agentic experience design, including roles, boundaries, handoffs, and exception journeys. Executive communication and the ability to ch