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# Client Deployment Lead, AI (EMEA)

- **Company:** Valis
- **Location:** Amsterdam, Netherlands
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Systems Integration, Large Language Models
- **Published:** October 22, 2026
- **Apply:** https://www.adzuna.nl/details/5938279572

## About the Role

7-10 years of experience, including transformation or implementation programs you ran end to end

 - Ability to independently manage multiple stakeholders and get things done in complex projects

 - Strong organization, project and change management skills

 - Experience working with C-level stakeholders or founders

 - Comfort with technical concepts: data models, APIs, integrations, LLM tools and agents

 - High agency, strong bias for action and interest in AI products

 - STEM degree or relevant technical experience

 - Readiness to start as soon as possible

 - Apart from preferred locations, we are ready to consider candidates from other EMEA countries

Nice to have

 - Background in top-tier management or technical consulting/implementation, high-growth startups

 - Hands-on AI implementation

## Description

As a Client Deployment Lead, AI, you own the deployment of our platform at client companies, turning a CEO's AI ambitions into measurable change in company efficiency.

You lead each engagement from discovery through go-live to company-wide adoption, working with the client's leadership team and a forward-deployed engineer. The role suits people who have run transformation programs, are comfortable with technology and want to work at startup speed.

What you'll do

 - Lead discovery and map how the client company works: structure, processes, decisions, data

 - Scope deployments, success metrics and timelines with the executive sponsor

 - Run delivery with a forward-deployed engineer and get the client live fast

 - Drive adoption across leadership, employees and core processes

 - Help the CEO with AI transformation: what to automate, what to redesign, how the operating model changes, how to overcome resistance and friction and implement real change

 - Identify new use cases that expand adoption and value

 - Turn what works into playbooks that make each deployment faster than the last

 - We expect a Client Deployment Lead to work hybrid, spending 30-50% of working time on-site with the Client.