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AXA

Global insurer offering life, property, casualty

AI Engineer Lead

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeParis, FranceNo salary listedIn-person

About the Job

Requirements

  • At least 5 years of experience delivering AI/ML-enabled products, GenAI applications, or AI platforms in production environments, across design, implementation, monitoring, and continuous improvement.
  • Experience contributing to evaluation, observability, reliability, or optimization practices for GenAI applications such as retrieval-augmented generation, conversational assistants, workflow automation, or agentic systems.
  • Good understanding of AI operational drivers, including quality, latency, cost, usage, safety, privacy, and business value, and the ability to balance them pragmatically.
  • Demonstrated leadership experience in managing engineering teams or cross-functional project teams.
  • Strong software engineering foundations for production-grade AI systems, including Python or similar programming languages, APIs, integration patterns, monitoring, and automation.
  • Solid understanding of GenAI application patterns, including retrieval-augmented generation, conversational assistants, workflow automation, and agentic or tool-using systems.
  • Ability to define and operate evaluation approaches for GenAI systems, covering quality criteria, regression testing, human feedback, performance measurement, reliability, and risk controls.
  • Understanding of AI consumption and cost drivers, such as model selection, context management, prompt design, caching, routing, orchestration, infrastructure choices, and usage governance.
  • Experience with observability and operational monitoring for AI applications, including tracing, latency, reliability, usage, cost efficiency, and continuous-improvement indicators.
  • Ability to establish practical guardrails for responsible AI engineering, balancing performance, cost, safety, security, privacy, sustainability, and compliance requirements.
  • Experience leading and coaching junior team members.
  • Ability to lead end-to-end GenAI initiatives, define scope, milestones, timelines, budgets, resource planning, and risk management, and ensure on-time, on-budget delivery.
  • Ability to partner with product, business units, compliance, security, legal, and operations; translate business needs into concrete requirements; manage expectations; maintain governance artifacts; and provide transparent status updates.
  • Ability to craft narratives around GenAI initiatives, translate complex concepts into executive summaries and user stories, present results to technical and non-technical audiences, and develop metrics dashboards and impact narratives.
  • Agile mindset, with a commitment to continuous improvement, iterative delivery, backlog prioritization, and value-driven outcomes.
  • Ability to collaborate across cross-functional and multicultural environments and communicate in English.
  • Curiosity and ability to learn and apply new techniques and research advances.

Responsibilities

  • Engage proactively with AXA entities and business units, facilitate ongoing dialogue, co-construct AI solutions, and guide stakeholders through complex decisions to ensure alignment and adoption.
  • Lead the design, development, deployment, and operation of AI and GenAI solutions that deliver measurable value for AXA entities.
  • Contribute to the evolution of shared AI engineering practices, including evaluation, observability, performance, cost efficiency, safety, and lifecycle governance.
  • Support GenAI application evaluation and AI consumption optimization, and take ownership of emerging AI engineering priorities.
  • Collaborate with data scientists, data engineers, product managers, platform teams, and business stakeholders to identify opportunities and translate them into robust technical solutions.
  • Define reusable patterns, standards, and guardrails for scalable, reliable, secure, and responsible AI systems across the organization.
  • Lead and mentor AI engineers, fostering engineering excellence, pragmatism, curiosity, and continuous improvement.

Desired Qualifications

  • Experience working in the insurance, financial services, or another regulated industry.

About the Company

AXA

Global insurer offering life, property, casualty

AXA is a global insurer and asset manager that provides life, health, and property and casualty insurance, as well as related financial services. Its products work by customers paying insurance premiums in exchange for coverage against risks; AXA pools risk across many policyholders, prices premiums based on risk, and pays claims when events occur, while also offering investment and retirement products through its asset management arm. The company has grown through large acquisitions, giving it a wide geographic footprint and a diverse mix of personal, commercial, and specialty insurance offerings. This scale and breadth set AXA apart from many competitors, alongside a long history of strategic mergers that expanded its reach to customers around the world. AXA’s goal is to be a leading global insurer and asset manager, delivering financial protection and long-term value to customers and stakeholders.

Company size
10,001+
Company stage
IPO
Headquarters
Paris, France
Founded
1816

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