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AXA

Global insurer offering life, property, casualty

AI Engineering Lead

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeParis, FranceNo salary listed

About the Job

Requirements

  • At least 5 years of experience delivering AI/ML-enabled products, GenAI applications, or AI platforms in production, across the lifecycle from design and implementation through 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.
  • A 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 managing engineering teams or cross-functional project teams.
  • Strong software engineering foundations for production-grade AI systems, including Python or similar languages, APIs, integration patterns, monitoring, and automation.
  • A 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 GenAI system evaluation approaches covering quality criteria, regression testing, human feedback, performance measurement, reliability, and risk controls.
  • Understanding of AI consumption and cost drivers, including 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 while 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 and manage scope, milestones, timelines, budgets, resource planning, and risks to ensure delivery on time and within budget.
  • 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 communicate GenAI initiatives through executive summaries, user stories, presentations, metrics dashboards, and impact narratives for technical and non-technical audiences.
  • Agile mindset, commitment to continuous improvement and iterative delivery, and ability to prioritize backlogs and focus on value-driven outcomes.
  • Strong teamwork across cross-functional and multicultural environments, with English communication and interpersonal skills.
  • Curiosity and ability to learn and apply new techniques and research advances in GenAI.

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 shared AI engineering practices for evaluation, observability, performance, cost efficiency, safety, and lifecycle governance.
  • Support GenAI application evaluation and AI consumption optimization, and take ownership of new AI engineering priorities as they arise.
  • 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 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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