Associate Director, Human/AI Creative Technologist

Who We Are

At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.

The Role

As the Associate Director, Human/AI Creative Technologist at Kyndryl we’re seeking creative, curious, empathic systems thinkers who want to tackle complex problems with some of the best technical colleagues in the world. You'll be a part of Kyndryl Vital, which is a global network of designers, engineers, writers, researchers, and strategists. We are bound together by a desire to help our customers make sense of complexity and co-create intelligent and adaptive experience ecosystems that resonate with their users and transform their businesses.

You’ll be responsible for driving strategic initiatives and creating impactful experiences for the world’s critical systems? You will combine technical expertise with human-centered design to prototype and implement innovative solutions. Creative technologists blend expertise in code, hardware, and emerging technologies to bring ideas to life.

*This Role is based in our Dallas, TX office. Candidates must reside in the area or be willing to move there.

Specifically you will be responsible for:  

• Human-Centered Design: You will guide large teams in user-centered practices and ensure that complex, multi-touchpoint solutions still address fundamental user needs. You likely have experience creating or approving user experience guidelines and frameworks that others follow. 
• Cross-disciplinary Collaboration: You have an exceptional ability to lead cross-disciplinary teams. You’ll collaborate with engineering and other departments – you orchestrate them. Under your leadership, design, engineering, business, and operations folks co-create effectively. You can resolve conflicts or misalignments between disciplines by refocusing everyone on common goals. 
• Innovation: You’ll be a thought leader in applying emerging technology to solve design and business problems. You have a forward-looking perspective, anticipating what technologies or trends (like agentic AI, edge computing, blockchain, etc.) might be relevant, and you incorporate that into strategic planning. You encourage a culture of continuous innovation in your team, perhaps by establishing innovation sprints or research initiatives within projects. 
• Rapid Prototyping: Using your deep knowledge of prototyping at scale; and while you may not build every prototype yourself, you know what high-fidelity prototyping entails and can set expectations and processes for your teams to prototype efficiently. You ensure that rapid experimentation remains a core part of the project approach, even at large scales or later stages of development, to validate assumptions. 
• Human-in-the-Loop Patterns: You will design interaction patterns for approvals, escalation, rollbacks, and exception handling so agents act safely and users stay in control. 
• Feasibility Analysis: You will assess not only if a design is technically feasible, but also operationally and financially feasible for a client. This comprehensive feasibility perspective means you guide teams toward solutions that are innovative yet realistic given the client’s context (budget, tech infrastructure, talent available, etc.). 
• Storytelling: You will craft vision narratives, white papers, or executive presentations that frame an innovative concept in terms of business value and strategic necessity. Your storytelling convinces organizations to take bold steps. 
• AI and Data Ethics: You might be establishing guidelines or principles for ethical AI and data usage within the design practice. You ensure that any solution we propose has been vetted for ethical implications, and you can speak to how we mitigate risks related to bias, privacy, and security in front of executive stakeholders or in governance reviews. This includes responsible agentic AI patterns (tool permissioning, human-in-the-loop controls, auditability). 
• Tool Ecosystem Strategy: You will define cross-team standards for agent tool ecosystems (API patterns, permission models/RBAC inputs, audit evidence needs, lifecycle/versioning) enabling AI engineers to build and reuse tools safely at scale. 
• Front-End Platform Enablement: You influence reusable UI patterns and reference implementations for agentic ex