- Location
- Massy, Île-de-France, France · published
- Type
- Full-time
- Department
- Education
- Seniority
- Lead
- Source
- Workable
Description
About Quandela:
Quandela stands as a global leader in quantum computing, driven by groundbreaking technology and a strategic vision for scaling quantum solutions. The company's unique ability to offer both hardware and software solutions, along with its commitment to build energy efficient datacenters and scalability, positions it to play a key role in the next wave of innovation, and in many strategic and sovereign industrial sectors.
Join Us at the Forefront of Quantum Computing Innovation 🚀
About this position
You’ll be in charge of building and leading Quandela’s AI Ops Department, under the supervision of the COO. You’ll be designing a robust, resilient and safe AI architecture at the company level, but you will also work a lot alongside the different departments (legal, finance, business, hardware and software engineering) in order to understand their workflows and to implement solutions.
You will share the ownership of this architecture with the IT Manager, who will be responsible for the foundations of the platform (access, devices, data safety…).
You will also be responsible for animating the Quandela AI community, a network of early-adopters championing AI within their teams, by organizing workshops and learning sessions for Quandelians.
Your key responsibilities
· Build and run the internal AI platform: select and integrate the stack (model providers and gateway, approved assistants, retrieval over internal knowledge, evaluation and observability), own the catalogue of approved AI tools, their configuration and their cost, with the IT Manager
· Deliver automations and agents with the teams: collect needs, qualify use cases by impact, feasibility and risk, build workflows and agents
· Drive adoption and skills: animate the network of AI champions, design and run the training program (AI literacy for everyone, role-based sessions, office hours), set up self-service tools so that non-technical teams build and own their own agents
· Own the safety of the system: clear definition of a data access hierarchy, solutions for sensitive data, guardrails for coding agents...