Creative Technologist

Summary

Kyndryl designs, builds, manages, and modernizes mission-critical technology systems for customers and communities. The Creative Technologist bridges design vision and engineering execution by prototyping innovative, human-centered experiences and applying emerging technologies such as AI/ML/GenAI, IoT, and immersive interfaces. The role collaborates across disciplines, assesses technical feasibility and ethics, and develops agentic AI tools and interfaces.

Responsibilities

• Collaborate with designers, engineers, and stakeholders to shape technical concepts aligned to human-centered design
• Rapidly prototype interactive, testable experiences to drive alignment, learning, and value, including agentic AI-driven interactions
• Apply emerging technologies to business challenges, including AI/ML/GenAI (including agentic AI), IoT, and immersive interfaces
• Lead feasibility analysis and ethical review of technology choices,including agentic AI safety and governance considerations**

Skills

• * **Human-Centered Design**: You have a deep understanding of human-centered design methods and mindset
• * **Cross-disciplinary Collaboration**: You excel at uniting design and engineering
• * **Innovation**: You can apply new applications for emerging tech
• * **Rapid Prototyping**: You can create context-appropriate, low- to high-fidelity digital and physical prototypes
• * **Human-in-the-Loop Patterns:** You can design interaction patterns for approvals, escalation, rollbacks, and exception handling so agents act safely and users stay in control
• * **Feasibility Analysis**: You can assess design's technical feasibility, system integration, and implementation pathways
• * **Storytelling**: You can translate prototypes and technical insights into compelling narratives
• * **AI and Data Ethics**: You leverage AI tools and data strategies with awareness of equity, bias, and transparency. This includes responsible agentic AI patterns (tool permissioning, human-in-the-loop controls, auditability)
• * **Tool Building for APIs (Agent Tools):** You can define and prototype lightweight “agent tools” that expose capabilities via APIs (REST/GraphQL), including clear input/output schemas, error handling, and versioning so AI engineers can reliably wire tools into agent runtimes
• * **Front-End Engineering for Agentic Experiences:** You can build modern web interfaces (e.g., React/TypeScript) that integrate with agentic systems—supporting streaming responses, conversation + workflow state, and human-in-the-loop actions (approve/deny/escalate) with traceable outcomes
• * **Agent Evaluation & Quality:** You can define basic evaluation criteria for agent behavior (accuracy, reliability, safety, latency, and user trust), and iterate using test prompts, structured cases, and lightweight metrics
• * Bachelor's Degree in a relevant field (or equivalent demonstrable portfolio of work)
• * 1-3+ years of relevant experience (dependent on level)
• * Vertical domain experience (e.g., finance, retail, healthcare, industrial)
• * Experience in both enterprise and agency worlds
• * Knowledge and experience in IT infrastructure, architecture, and platform capabilities
• * Background in behavioral science, change management, or design research
• * Applied or academic experience with data science, AI/ML, or HCI
• * You can partner with AI engineers working in open-source agent runtimes and translate experience requirements into tool contracts, UI behaviors, and evaluation criteria without blocking engineering velocity
• * Advanced degree or certification in design, HCI, computer science, or related (e.g., MDM, MDes, MFA, d.MBA or equivalent) is a plus

Qualifications

Must Haves

• * **Human-Centered Design**: You have a deep understanding of human-centered design methods and mindset
• * **Cross-disciplinary Collaboration**: You excel at uniting design and engineering
• * **Innovation**: You can apply new applications for emerging tech
• * **Rapid Prototyping**: You can create context-appropriate, low- to high-fidelity digital and physical prototypes
• * **Human-in-the-Loop Patterns:** You can design interaction patterns for approvals, escalation, rollbacks, and exception handling so agents act safely and users stay in control
• * **Feasibility Analysis**: You can assess design's technical feasibility, system integration, and implementation pathways
• * **Storytelling**: You can translate prototypes and technical insights into compelling narratives
• * **AI and Data Ethics**: You leverage AI tools and data strategies with awareness of equity, bias, and transparency. This includes responsible agentic AI patterns (tool permissioning, human-in-the-loop controls, auditability)
• * **Tool Building for APIs (Agent Tools):** You can define and prototype lightweight “agent tools” that expose capabilities via APIs (REST/GraphQL), including clear input/output schemas, error handling, and versioning so AI engineers can reliably wire tools into agent runtimes
• * **Front-End Engineering for Agentic Experiences:** You can build modern web interfaces (e.g., React/TypeScript) that integrate with agentic systems—supporting streaming responses, conversation + workflow state, and human-in-the-loop actions (approve/deny/escalate) with traceable outcomes
• * **Agent Evaluation & Quality:** You can define basic evaluation criteria for agent behavior (accuracy, reliability, safety, latency, and user trust), and iterate using test prompts, structured cases, and lightweight metrics
• * Bachelor's Degree in a relevant field (or equivalent demonstrable portfolio of work)

Nice to Haves

• * 1-3+ years of relevant experience (dependent on level)
• * Vertical domain experience (e.g., finance, retail, healthcare, industrial)
• * Experience in both enterprise and agency worlds
• * Knowledge and experience in IT infrastructure, architecture, and platform capabilities
• * Background in behavioral science, change management, or design research
• * Applied or academic experience with data science, AI/ML, or HCI
• * You can partner with AI engineers working in open-source agent runtimes and translate experience requirements into tool contracts, UI behaviors, and evaluation criteria without blocking engineering velocity
• * Advanced degree or certification in design, HCI, computer science, or related (e.g., MDM, MDes, MFA, d.MBA or equivalent) is a plus

Benefits

• Kyndryl’s discretionary annual bonus program, based on performance and subject to the terms of Kyndryl’s applicable plans.
• Medical and dental coverage
• Disability benefits
• Retirement benefits
• Paid leave
• Paid time off
• Hands-on experience
• Learning opportunities
• The chance to certify in all four major platforms
• Employee learning programs with access to industry learning and certifications, including Microsoft, Google, Amazon, Skillsoft, and many more.
• Company-wide volunteering and giving platform to donate, start fundraisers, volunteer, and search over 2 million non-profit organizations.
• Fully Remote