AI Ops Lead

Location: Massy, Île-de-France, France; hybrid work with on-site presence at least three days per week. Occasional travel is required between Massy, Palaiseau, Paris, Munich, and other international subsidiaries.

Company

hirify.global designs, builds, and delivers photonic quantum computing systems and cloud-accessible quantum solutions for research and industrial customers.

What you will do

• Build and run the internal AI platform, including model providers and gateways, approved assistants, retrieval over internal knowledge, evaluation, observability, tool configuration, and cost ownership with the IT Manager.
• Partner with legal, finance, business, hardware, and software engineering teams to qualify use cases and deliver workflows, automations, and AI agents.
• Lead the AI champions community and create AI literacy training, role-based sessions, workshops, and office hours.
• Provide self-service tools that enable non-technical teams to build and own agents.
• Define data access hierarchies, sensitive-data solutions, and guardrails for coding agents to ensure system safety.

Requirements

• Completed Master’s degree or higher in Artificial Intelligence, Machine Learning, Computer Science, Data Science, Applied Mathematics, or an equivalent international qualification, with strong software engineering and applied AI foundations.
• 5+ years of experience in software engineering, automation, data engineering, or technical product roles, including personally delivering and maintaining solutions used by teams.
• Track record of delivering LLM-based automations with API integrations and workflow platforms such as n8n or Make, including production quality, reliability, and cost considerations beyond proof of concept.
• Ability to write and maintain integration code in Python or JavaScript/TypeScript and work with APIs and webhooks.
• Working knowledge of RAG, evaluation, observability, LLM security, context management, knowledge-source quality, and permission-aware retrieval.
• Product mindset with the ability to simplify solutions, prioritize competing requests, and translate business or R&D needs into practical technical solutions.
• Proven ability to lead a community of early adopters and manage change across a technically diverse organization.
• Strong data discipline, including data classification, decision and workflow documentation, and outcome measurement.
• Professional proficiency in French and English.

Nice to have

• Experience in deeptech, quantum computing, semiconductors, aerospace, HPC, or another R&D-intensive hardware environment.
• PhD in AI, Machine Learning, Computer Science, or a related scientific field.
• 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.

Culture & Benefits

• Scientific curiosity, experimentation, and collaboration are valued.
• Company savings plan and 100% health coverage through Alan.
• 50% transport reimbursement or sustainable mobility bonus.
• Meal vouchers through Swile and Gymlib fitness support.
• Childcare assistance and referral bonuses of €1,000–€2,000.

Hiring process

• Talent Acquisition interview, followed by a Hiring Manager interview.
• Reference checks, technical discussion, and presentation of previous research work.
• Team meeting followed by an offer.