Hover or tap a row for full statistics (EUR / month on this chart).
Salary analysis
Compared with the selected benchmark ("All roles in Paris, France"), this listing's salary midpoint is about 27% lower. The offer still falls within the benchmark range (€7,681–€13,890). The listed pay band (€7,500–€8,333) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 4 comparable listings.
| Market | Lower bound (25th percentile) | Median | Upper bound (75th percentile) |
|---|---|---|---|
| Market Average: AI Engineer | €10,128/per month | €12,298/per month | €14,468/per month |
| All roles in Paris, France | €7,681/per month | €11,054/per month | €13,890/per month |
| From job ad (Senior) | €7,500/per month | €7,917/per month | €8,333/per month |
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 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 decisions - Ensure 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 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
Job Details
Responsibilities
- Own tech strategy and agent product roadmap for the assigned domain
- Design and build production-grade AI systems
- Drive architecture decisions and ensure scalability and reliability
- Measure AI adoption and business outcomes
- Promote best practices for evaluation, testing, and observability
- Mentor AI engineers and agent builders
Requirements
- 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
Skills & Technologies
Benefits & Perks
Recruitment Process
- 130-40 min phone conversation with a Tech recruiter
- 21 hour technical discussion with Data Science and Engineering teams
- 3Two 45-minute STAR interviews focusing on values and culture
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