Hover or tap a row for full statistics (EUR / month on this chart).
Salary analysis
Compared with the selected benchmark ("All roles in Boston, United States"), this listing's salary midpoint is about 20% higher. The offer still falls within the benchmark range (€9,260–€20,140). The listed pay band (€15,625–€19,791) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 3 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 Boston, United States | €9,260/per month | €13,890/per month | €20,140/per month |
| From job ad (Senior) | €15,625/per month | €17,708/per month | €19,791/per month |
Lead the design, development, and adoption of AI systems within a strategic business domain. You will be part of the AI team, working inside one of our division (Marketing or finance for example) to lead their AI transformation. 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 our Boston office, with 4 days on-site per week. What You'll Do 1. Own AI Strategy for Your Domain - Define the AI vision and roadmap for your domain - Identify high-value opportunities with Product Managers and business leaders 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 Success Metrics - Business impact delivered by AI initiatives - Adoption within the domain - Technical quality and reliability - Team capability growth Profile - 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 Tech Stack - 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
Job Details
Responsibilities
- Define the AI vision and roadmap for the assigned business domain
- Identify high-value AI opportunities with Product Managers and business leaders
- Design and build production-grade AI systems ensuring scalability and reliability
- Drive architecture decisions and AI adoption across teams and stakeholders
- Promote best practices for evaluation, testing, guardrails, and observability
- Mentor AI Engineers and Agent Builders to grow organizational capability
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
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