AI Enablement & Solutions Lead
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Responsibilities
- 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
Requirements
- 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
Additional Information
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.
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