Head of AI Enablement

Flying Bisons

2d•Remote

About The Position

At Flying Bisons, AI is not an experiment. It is part of everyday work. Designers use AI daily, we have our own integrations and internal tools, and the next step is to build an AI Operating System for the entire company. We are looking for a person who will design and build this system. This is not a role for someone who is simply very good at using AI. This role is for someone who builds tools, workflows and systems that enable others to work effectively with AI. The company is already at an advanced stage. Designers use AI every day, we have our own integrations, and we run internal workshops. We are looking for someone who will take us to the next level , not someone who is just starting their journey with AI.

Requirements

3–5+ years of hands-on experience as a UX/UI Designer – Not a PM working near design, not a consultant, but a designer who understands the process from the inside. This is the foundation of the role.
Ability to independently build integrations with AI model APIs (Claude, GPT-4o, Gemini) – Not writing requirements for developers, but delivering a working solution yourself.
Experience implementing AI within a team or organization – You can clearly explain what worked, what did not, and why.
A systematic approach to prompt engineering – You design prompt libraries and architectures rather than writing prompts only for individual tasks.
Stack : Claude / GPT-4o / Gemini, Cursor or Copilot, automation tools (Make, n8n or similar).
English C1+ both written and spoken.

Nice To Haves

Experience working in an agency delivering projects for external clients.
Public AI projects such as repositories, articles or tools.
Knowledge of design systems and DesignOps.
Experience with multimodal models in a design context.
Experience running workshops or documented teaching.

Responsibilities

AI OS Architecture: You design and implement a coherent AI operating model for the entire organization. You decide what belongs in the stack, what is restricted, and why. You take full ownership of the direction.
Custom Tooling and Integrations: You independently build internal tools. You understand the APIs of Anthropic, OpenAI and Gemini at a product level and can create custom workflows when existing tools are not sufficient.
Prompt Library: You take ownership of the existing prompt library and significantly evolve it. You introduce architecture, versioning and a contribution process for the team. Prompts are treated as a product with an owner, metrics and a roadmap.
Cross-disciplinary Workflows: You design how AI is used by designers, developers, product managers and researchers. Designer with developer. Designer with PM. Designer with researcher. Each discipline receives clear guidelines and tools.
AI Governance: You establish rules such as when AI should be used, when it should not be used, how outputs are validated, and how client data and confidentiality are handled. The company works with enterprise clients. Governance is essential.
Adoption and Training: You design and run AI onboarding for new employees and recurring training for existing teams. You measure adoption and respond when engagement decreases.