Senior GenAI Engineer - Production AI Leader (Hybrid)

AXA Group; Paris; Hybrid; EUR 90,000 - 130,000; Full time

Job summary

AXA Group Operations is seeking an AI Engineer Expert to design, deploy and continuously improve production-grade AI and GenAI solutions that align with AXA's strategic priorities. You will work across entities, driving GenAI evaluation, usage, and cost governance while delivering scalable, secure AI capabilities.

This high-exposure role focuses on practical implementation across data scientists, engineers, product managers, and platform teams, balancing performance, safety, and business value

Qualifications

• 3+ years delivering AI/ML-enabled products, GenAI applications, or agentic systems in production environments.
• Experience contributing to evaluation, observability, reliability, or optimization practices for GenAI apps (RAG, chatbots, workflow automation).
• Understanding of AI operational drivers: quality, latency, cost, usage, safety, privacy, business value.
• Experience delivering technical work in cross-functional teams and ownership of work packages.
• Experience in regulated industries (insurance/finance) is a plus.

Responsibilities

• Design, build, deploy, and continuously improve production-grade AI/GenAI solutions delivering measurable value.
• Collaborate across data scientists, engineers, product managers, platform teams, and stakeholders to translate needs into robust solutions.
• Contribute to evolution of engineering practices: evaluation, observability, performance, cost efficiency, safety, and lifecycle governance.
• Support GenAI evaluation and AI consumption optimization while remaining flexible for new priorities.
• Apply reusable patterns, guardrails, and standards for scalable, secure AI systems across AXA.

Tools

Python

APIs

Job description

AXA Group Operations is seeking an AI Engineer Expert to design, deploy and continuously improve production-grade AI and GenAI solutions that align with AXA's strategic priorities. You will work across entities, driving GenAI evaluation, usage, and cost governance while delivering scalable, secure AI capabilities.

This high-exposure role focuses on practical implementation across data scientists, engineers, product managers, and platform teams, balancing performance, safety, and business value