Senior Creative Technologist

Phyton Talent Advisors; New York (NY); On-site; USD 140,000 - 190,000; Full time

Job summary

Fortune 100 client is seeking a Creative Technologist for the Madi Design System to build interactive prototypes and AI-assisted workflows. You will work closely with product and design teams to ensure alignment with Madi standards and guide teams on tool selection and responsible AI usage.

Responsibilities include prototyping, AI workflow design, building reusable assets, and leading workshops while maintaining strong collaboration with design and engineering teams to evolve the system.

Qualifications

• 6–10+ years of front-end engineering experience with a strong UI focus.
• Building and maintaining production React component libraries.
• Supporting multiple platforms, products, and CMS ecosystems.
• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.

Responsibilities

• Prototype interactive, AI-assisted designs on Madi to validate ideas.
• Handoff prototypes cleanly to engineering as they scale.
• Lead AI-guided design workflows and guardrails for privacy.
• Collaborate with product and design teams to evolve Madi standards.

Skills

Front-end engineering

UI-focused development

Collaboration

Strategic thinking

Education

Bachelor’s degree in CS/Engineering or related field

Tools

React

Storybook

Git

CI/CD

Figma

Job description

Our client, a Fortune 100 company and the largest mutual life insurer in the U.S., is hiring a Creative Technologist for its Madi Design System team. In this role, you’ll work directly with product and design teams to build interactive prototypes and practical AI-assisted workflows, keep work aligned to Madi standards, and bring real-world insights back to help the system evolve. You’ll need to hit the ground running with hands‑on experience using AI in real design and product environments, and you’ll help shape how teams choose tools and use AI responsibly.

Responsibilities

1. Prototyping & Team Partnership

• Build code-based and AI-assisted interactive prototypes on Madi to validate ideas and support user research
• Recommend the right prototyping approach and fidelity for each problem
• Ensure a clean handoff to engineering as prototypes move toward production
• Report recurring needs and gaps to the core team as candidates for new components or guidance

2. AI-Assisted Design Workflows

• Guide teams in using AI across ideation, content, prototyping, design-to-code, and documentation
• Design, pilot, and refine repeatable AI workflows
• Build reusable assets such as prompt libraries, templates, and agent configurations
• Evaluate AI outputs for accuracy, accessibility, brand alignment, and maintainability
• Apply AI guardrails, including data privacy and responsible use, for a regulated enterprise
• Monitor the AI tooling landscape and make actionable recommendations
• Evaluate and recommend tools based on fit, cost, security, and integration
• Map and connect the design-to-development toolchain to reduce manual work
• Integrate documentation, design files, tokens, and code into AI workflows through APIs, integrations, and MCP
• Get more value from existing tools by assessing new features
• Lead tool pilots and document outcomes and recommendations for leadership
• Bridge individual teams and the core Madi team, working alongside the senior creative technologist who owns components and standards
• Lead workshops, demos, and office hours on AI and prototyping
• Create guides and playbooks for Madi and AI tools
• Help teams apply Madi components, patterns, and guidance correctly

Requirements

Education:

Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience

Experience

• 6–10+ years of front-end engineering experience with a strong UI focus
• Building and maintaining production React component libraries
• Supporting multiple platforms, products, and CMS ecosystems

Technical Skills

• Design tokens, theming, and scalable component architecture
• Figma integration and modern design handoff workflows
• Accessibility standards (WCAG, ADA)
• Storybook, Git, and CI/CD pipelines

AI Experience

• Hands‑on use of AI tools in design or engineering workflows, or the ability to clearly explain how they apply and their trade‑offs
• Knowing how to validate, test, and productionize AI‑assisted outputs

Soft Skills

• Strong collaboration across design and engineering
• Clear communicator who can explain technical concepts to a range of stakeholders
• Self‑starter who drives initiatives independently
• Strategic thinker who confidently influences direction