Forward-Deployed AI Solutions Lead

### We are looking for a  AI Solutions Lead who will join our  team.
As a Solutions Lead, you will play a crucial role in leading and managing the technical aspects of data science projects. This role requires a combination of strong technical expertise, project management skills, and the ability to guide the team towards successful project delivery.### ### Role Summary### You will sit side-by-side with leaders and practitioners in your assigned function — learning their workflows, understanding their pain points, and helping them accomplish their goals through AI.

Sometimes that means creating custom solutions together; other times it means unlocking AI capabilities already in the platforms they use today. Your job is finding the fastest path to value — create, configure, or enable.### ### This role is part of our hub-and-spoke AI CoE model: a central AI team provides strategic alignment and governance, while forward-deployed specialists bring hands-on AI fluency directly to the front lines of the business.###

### In this role you will:### Embed and Co-Develop:* ### Immerse yourself in the function — attend planning meetings, reviews, and standups to develop deep domain context and identify high-value AI opportunities.* ### Partner with practitioners to improve speed, quality, and efficiency — whether by creating custom tools, activating AI features in existing platforms (ERP, BI, CRM, planning tools, research/data platforms, etc.),

or both.* ### Where existing tools fall short, develop solutions across key use cases: process automation, forecasting and optimization, reporting and synthesis, natural language querying, document/workflow automation, and agentic workflows (proactive alerts, automated briefs, anomaly flagging).* ### Continuously assess evolving vendor AI capabilities and recommend when to buy, configure, or create.### ### Deliver and Enable:* ### Take solutions from concept to delivery — own the lifecycle from rapid prototyping through deployment, monitoring, and optimization.
* ### Leverage LLMs, RAG architectures, agentic frameworks, and modern AI tooling to deliver scalable solutions that integrate cleanly with existing systems and data infrastructure.* ### Train and upskill the function on AI tools — both custom-created and native platform features — with documentation, playbooks, and hands-on enablement.* ### Surface reusable learnings and components back to the central CoE. Adhere to CoE standards for responsible AI and data governance.###

### What you'll need to be successful:###

Required:

* ### Bachelor's or Master's degree in Business, Data Science, Computer Science, or a related field appropriate to the function. Candidates from non-technical backgrounds with demonstrated AI fluency are encouraged to apply.* ### 5+ years in a role combining business/domain expertise with applied AI, data science, or analytics — with experience delivering AI-powered solutions for business users.### ### AI Fluency and Mindset (non-negotiable):* ### Deep AI fluency — you use AI tools daily and naturally reach for AI to solve problems.

This is the core requirement.* ### Proficiency with AI-native development tools (Cursor, Claude Code, Git Hub Copilot, or similar) to rapidly create functional solutions.* ### Experience using AI coding tools to go from idea to working product — and the judgment to know when a solution is ready for the team to rely on.* ### Solutions mindset: you think in terms of reusable products and tools, not one-off analyses.

When you solve a problem, you deliver something the team can use repeatedly without you in the loop.### ### Technical:* ### Applied experience with generative AI concepts: LLMs, prompt engineering, RAG, and how to evaluate and apply AI tools to business problems.* ### Ability to create AI-powered solutions end-to-end — from concept through a working tool that users interact with.
* ### Working knowledge of cloud platforms (GCP, AWS, or Azure) and data/visualization tools (Power BI, Tableau, or function-specific tools).* ### Python and SQL proficiency is a plus but not required if you can demonstrate equivalent capability through AI-assisted…