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.

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

Familiarity with Azure (e.g., Azure OpenAI, Azure ML, or Azure DevOps) and basic DevOps practices (CI/CD, version control, deployment pipelines) is a plus

Communication & Influence

Explains complex AI concepts clearly to non-technical stakeholders

Comfortable working cross-functionally and driving alignment without formal authority

Advocates for simple, practical solutions and helps the team avoid over-engineering

What Success Looks Like

High-impact AI use cases are identified, shipped, and actively used across teams

AI is embedded in workflows, not sitting in a demo environment

Teams are measurably more efficient and making better decisions with AI support

A clear, scalable, and responsible framework for AI exists across the organization

A Note on This Role

This is a hands-on builder role . You will be expected to prototype and build solutions yourself, not solely define requirements, manage vendors, or run workshops. The right candidate is equally comfortable in a business stakeholder meeting and a Databricks notebook.

Salary Range: up to $120,000-$145,000 (in USD $)

This range represents the low and high end of the anticipated base salary range for this position. The actual base salary will depend on numerous factors such as: experience, knowledge and skills, and if the location of the job changes.

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