AI Enablement & Solutions Lead

At K18, we’re about hair freedom for all–engineered with biotech. We are on a mission to liberate expression. To make the impossible possible with the right technology. To build a community of forward thinkers, risk takers, and rabble rousers. To bring fearless innovation forward and push boundaries past where we thought they could go.

Position Overview

K18 is a biotech haircare company on a mission to unlock hair’s full potential through science. We’re a fast-moving, category-defining brand – and we’re building an AI-forward culture where smart automation and thoughtful tooling help our teams move faster and focus on the work that matters most.

We’re looking for an AI Enablement & Solutions Lead to own how AI gets applied across the business. This role turns ideas into real, usable solutions that drive efficiency, improve decision-making, and unlock new capabilities across teams. This is not a research or strategy-only role. You will identify high-impact use cases, build and prototype solutions directly, and partner with data science and analytics to scale what works.

You’ll act as the connective tissue between business teams, Data Science & Analytics, and IT, ensuring AI is applied in a practical, measurable, and responsible way.

• Partner with marketing, eCommerce, creative, operations, and finance to surface high-impact AI opportunities
• Translate ambiguous business problems into clearly scoped use cases and workflows
• Prioritize initiatives based on business value, feasibility, and data readiness

• Design and build AI agents and multi-step agentic workflows that automate decisions, surface insights, and take action across business processes
• Prototype quickly using agent frameworks (e.g., Lang Graph, CrewAI, or similar) alongside LLM APIs (OpenAI, Claude, etc.) and lightweight front-end tooling (e.g., Gradio, Chainlit)
• Validate ideas quickly and cheaply before committing to full-scale development

• Partner with Data Science & Analytics and IT to product ionize successful prototypes
• Define clear inputs, outputs, and success metrics for each solution
• Ensure solutions are reliable, maintainable, and built to last beyond the pilot

• Enable teams to use AI tools effectively through training, documentation, and playbooks
• Embed solutions into existing workflows, not as standalone tools, but as integrated capabilities
• Track adoption and outcomes; iterate until solutions are actually delivering value

• Define clear standards for when and how AI should be used across the organization
• Ensure responsible AI use: data privacy, output quality, bias awareness, and appropriate human oversight
• Standardize tools and approaches to reduce fragmentation and technical debt

• 5-8+ years in a technical, product, or analytics role
• Proven, hands‑on experience building AI or LLM-based solutions, not just familiarity with the concepts
• Comfortable in Python and working with APIs and data pipelines
• Track record of taking ideas from concept to working solution

• Ability to define problems clearly and prioritize decisively to focus on high-impact work
• Translates business needs into technical requirements, and vice versa
• Focused on measurable impact, not just building interesting technology

• Hands‑on experience building AI agents or agentic workflows (e.g., Lang Graph, CrewAI, Auto Gen, or similar frameworks) is strongly preferred
• Working knowledge of LLMs, prompt design, embeddings, and/or retrieval‑augmented generation (RAG)
• Hands‑on experience with Databricks or a similar modern data platform is strongly preferred
• Familiarity with Azure (e.g., Azure OpenAI, Azure ML, or Azure Dev Ops) and basic Dev Ops practices (CI/CD, version control, deployment pipelines) is a plus

• Explains complex AI concepts clearly to non-technical stakeholders
• Comfortable working cross‑functionally and driving alignment without formal authority
• Advocates for simple, practical…