AI Ops Lead

Quandela; Massy; Sur place; EUR 90 000 - 130 000; Plein temps

Avantages offerts par ce poste

Profit-sharing & company savings plan

100% health coverage (Alan)

50% transport reimbursement or eco-mob

Meal vouchers (Swile), Gym support

Childcare assistance & referral bonus

Résumé du poste

Quandela is seeking a leading AI Platform Architect to build and run the internal AI platform, collaborating with Legal, Finance, Hardware and Software teams to implement scalable AI solutions. You will co-own the architecture with the IT Manager and drive the adoption of AI tools across the organization.

Requirements include a Master’s degree in AI/ML/CS/Data Science, 5+ years in related roles, and strong Python/JavaScript skills, plus fluency in French and English. On-site presence is required.

Qualifications

• A Master’s degree or higher in AI/ML/CS/Data Science/Applied Math with strong software foundations.
• 5+ years in software engineering, automation, data engineering or technical product roles.
• Proven track record delivering LLM-based automations with API integrations and workflow platforms (n8n/Make).
• Ability to write/integrate code in Python or JavaScript/TypeScript with APIs/webhooks.
• RAG, evaluation, observability, and security for LLM systems.
• Product mindset with simple, practical solutions and measurable impact.
• Leadership of a champions community across diverse teams.
• Strong data discipline: classify data, document decisions, and measure outcomes.
• Professional proficiency in French and English.
• On-site presence at least 3 days/week with travel between sites.

Responsabilités

• Build and run Quandela's internal AI platform; select/integrate stack, own catalog and costs with IT Manager.
• Deliver automations and agents with teams; qualify use cases, build workflows and agents.
• Drive adoption and skills; lead AI literacy programs and self-service tooling for non‑technical teams.
• Ensure safety; define data access hierarchy and guardrails for coding agents.
• Animate the AI community by organizing workshops and learning sessions.

Connaissances

Software engineering

Automation

Data engineering

Technical product

LLM automation

API integrations

Workflow automation

Python

JavaScript/TypeScript

RAG

Observability

Security for LLM

Product mindset

Leadership

Data governance

French

English

Formation

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

Outils

n8n

Make

Description du poste

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...

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.

• Examples of relevant European programmes include the M2 Mathématiques, Vision, Apprentissage (MVA) led by ENS Paris-Saclay; the Master’s programmes in Data Science at ETH Zurich and EPFL; the MSc in Machine Learning at UCL; and the MSc in Computing (Artificial Intelligence and Machine Learning) at Imperial College London. These examples are indicative and non-exclusive; equivalent master’s-level programmes are welcome.

• 5+ years of experience in software engineering, automation, data engineering or technical product roles. Evidence of personally delivering and maintaining solutions used by teams is essential.

• A track record of delivering LLM-based automations, including API integrations and workflow platforms such as n8n or Make. Experience taking solutions beyond the proof-of-concept stage and addressing real-world quality, reliability and cost issues.

• Ability to write and maintain integration code in Python or JavaScript/TypeScript, and work with APIs and webhooks.

• Working knowledge of retrieval-augmented generation (RAG), evaluation, observability and security for LLM systems. An understanding of context management, knowledge-source quality and permission‑aware retrieval.

• A product mindset: you keep solutions simple and practical while delivering operational improvements. You can prioritise competing requests and translate business or R&D needs into achievable technical solutions.

• Proven ability to lead a community of champions (i.e. early adopters) and manage change across a technically diverse organisation, from PhD researchers to business teams.

• Strong data discipline, with the ability to classify data before automating processes, document key decisions and workflows, and measure outcomes.

• Professional proficiency in French and English.

• On-site presence at least three days per week, with occasional travel between sites.

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.

• 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)

Process:

• Talent Acquisition Interview (30' - 45')
• Hiring Manager Interview (45' - 60')
• Reference checks
• Technical discussion and presentation ofpreviousresearch work
• Meeting with the team
• Offer

Beyond That:AtQuandela, we value scientific curiosity,experimentationand collaboration. Ifyou'repassionate about quantum optics, spinphysicsand quantum technologies,we'dlove to hear from you, even if youdon'tmeet every listed requirement.

Ifyou'reexcited by the challenge of turning scientific ideas into demonstrations, advancing the building blocks of future quantum computing systems and working alongside physicists,engineersand theorists,let'stalk.