AI Enablement & Solutions Lead

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., 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

• 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

• 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., 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

• 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

• 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

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.

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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K18 is proud to be an equal opportunity employer and is committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. For more information, please see Know Your Rights: Workplace Discrimination is Illegal.

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