AI Ops Lead

Entangled Future; Massy; Hybrid; EUR 120,000 - 180,000; Full time

Benefits offered by this job

Profit-sharing

Health coverage

Transport reimbursement

Meal vouchers

Gymlib fitness support

Childcare assistance

Job summary

Quandela in Massy, Île-de-France, France, is seeking an AI Ops Lead to build and lead the company’s AI Operations department within the R&D software engineering context. You will design a robust AI architecture, work across legal, finance, business, and hardware teams, and co-own the platform with the IT Manager while animating the AI community.

You will mentor AI champions, organize workshops, and implement solutions enabling non-technical teams to build and own their own agents, focusing on

Qualifications

• Master’s degree or higher in AI, ML, CS, Data Science or Applied Mathematics with strong software engineering foundations.

Responsibilities

• Build and run the internal AI platform, selecting and integrating stacks and tools with IT.
• Deliver automations and agents with teams, collect needs and validate use cases by impact and risk.
• Drive adoption, training, and AI literacy through workshops and self-service tools.
• Ensure data access hierarchy and guardrails for safe, responsible AI use.

Skills

MLOps

AI platform design

Cross-functional collaboration

Education

Master’s degree or higher in AI/ML/CS/Data Science

Tools

MLOps pipelines

Job description

AI Ops Lead at Quandela, Massy, Île-de-France, France. A lead-level full time position in the Research team, listed under software engineering.

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...

What we are looking for

• A completed Master’s degree or higher (French Master 2 / Bac+5, an engineering degree conferring the master’s grade, or an equivalent international qualification) in Artificial Intelligence, Machine Learning, Computer Science, Data Science or Applied Mathematics, with strong foundations in software engineering and applied AI.

Nice to Have

• Experience in deeptech: quantum computing, semiconductors, aerospace, HPC or another R&D-intensive hardware environment.
• A PhD in AI, Machine Learning, Computer Science or a related scientific field, particularly with applied work supporting research or engineering teams. A PhD is an asset, not a requirement.
• MLOps or ML infrastructure experience, including pipelines and versioning.
• Familiarity with the EU AI Act, CNIL guidance on generative AI at work and ISO 27001.
• Experience governing coding agents in continuous integration.
• Experience building a new technical function, mentoring colleagues or coordinating specialist providers.

Benefits

• Competitive salary, flexible based on your experience and expectations
• Profit-sharing & company savings plan
• 100% health coverage (Alan)
• 50% transport reimbursement or sustainable mobility bonus
• Meal vouchers (Swile), Gymlib fitness support
• Childcare assistance & referral bonuses (€1,000-€2,000)