Lead AI engineer

About the job

Lead the design, development, and adoption of AI systems within a strategic business domain.

You will combine deep AI engineering expertise with product and business understanding to identify high-impact opportunities, define roadmaps, and deliver measurable outcomes.

As the AI technical lead for your domain, you will drive architecture decisions, engineering excellence, and AI adoption across teams and stakeholders. Examples of domains include Sales, GTM and Marketing or Finance & Legal.

This is a permanent position (CDI) based in Paris or Bordeaux, with 4 days on-site per week.

Annual gross salary range (package): €90,000 – €100,000

This range is provided for transparency purposes and reflects our internal compensation grid for this role level. The final offer will be determined based on your experience, skills, and the scope of responsibilities involved.

What You’ll Do

1. Own Tech Strategy for Your Domain

• Identify high-value opportunities with Business leaders
• Define the Tech vision and own the agent product roadmap for your domain

2. Lead AI System Development

• Design and build production-grade AI systems
• Drive architecture decisionsEnsure scalability, reliability, and maintainability

3. Drive Adoption & Business Impact

• Work closely with end users
• Measure adoption and outcomes
• Accelerate AI transformation across your domain

4. Establish Technical Excellence

• Promote best practices for evaluation, testing, guardrails, and observability
• Review designs and mentor engineers
• Raise the quality bar across initiatives

5. Grow AI Capability

• Mentor AI Engineers and Agent Builders
• Share knowledge and reusable components
• Build AI expertise within your organization

Success Metrics

• Business impact delivered by AI initiatives
• Adoption within the domain
• Technical quality and reliability
• Team capability growth

Our stack and tools

• Languages: Python and SQL
• AI Stack: OpenAI, Anthropic, Gemini, Mistral and Open-source models
• Agentic & Retrieval: LangGraph, LangChain, LlamaIndex, MCP and Vector Databases
• Infrastructure: AWS or GCP, Docker and Kubernetes

You’ll Love This Job If you have

• 7+ years in Software Engineering, ML Engineering, or Applied AI
• Strong experience with LLMs, RAG, AI Agents, evaluation, and production systems
• Ability to influence Product and Business decisions
• Proven leadership on complex cross-functional initiatives

Feel free to add a link to your GitHub in your CV so we can understand what you have worked on!

We may use Artificial Intelligence (AI) solutions to help streamline our hiring process, including screening applications, analyzing resumes, and assessing responses. While AI helps us work efficiently, all final hiring decisions are made by humans. For more information, visit our AI Guidelines for Candidates and Interviews.