Job Opportunities API

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. What You'll Do Own AI Use Cases End-to-End 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 Build and Prototype Solutions 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., LangGraph, 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 Scale What Works Partner with Data Science & Analytics and IT to productionize successful prototypes Define clear inputs, outputs, and success metrics for each solution Ensure solutions are reliable, maintainable, and built to last beyond the pilot Drive Adoption 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 Build AI Guardrails and Best Practices (In partnership with VP of IT and VP of Data and Analytics) 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 What We're Looking For Core Requirements 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 Product & Business Thinking 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 AI & Technical Skills Hands-on experience building AI agents or agentic workflows (e.g., LangGraph, CrewAI, AutoGen, 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