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# Client Deployment Lead, AI (EMEA)

- **Company:** Valis
- **Location:** Paris, France
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Systems Integration, Large Language Models
- **Published:** October 22, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=7324acc6991fb87a

## 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.