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AXA

Global insurer offering life, property, casualty

Lead AI Engineer - f/h

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeSuresnes, France

About the Job

Requirements

  • A higher-education qualification (Bac+5) from an engineering school or scientific university.
  • At least 5 years of experience in AI/ML engineering, plus experience as a tech lead, lead engineer, or engineering lead supervising a team.
  • Ability to manage the full lifecycle of AI solutions, from design and development through production and operations.
  • Ability to communicate with technical and nontechnical stakeholders and produce clear documentation.
  • Strong focus on quality, including testing, robustness, security, compliance, and traceability.
  • Solid experience with Azure data and compute services, security, networking, monitoring, and scalable solution design.
  • Experience with CI/CD, containerization, automation, software quality, operations, and observability.
  • Proficiency in agile methods and effective collaboration with a Product Owner and a quality assurance team.
  • In-depth expertise in OCR techniques, including pipelines, quality, post-processing, performance, and industrialization.
  • In-depth expertise in speech and natural language processing techniques, including real-time speech-to-text, hierarchical topic modeling, embeddings, and extractive summarization, and understanding their limitations and risks.
  • Ability to anticipate and integrate relevant technological developments.

Responsibilities

  • Lead and facilitate the multidisciplinary team, including team rituals, prioritization, technical trade-offs, quality, and delivery commitments.
  • Establish and maintain engineering standards for code review, architecture, testing, documentation, and performance.
  • Own end-to-end architecture for AI products, including ingestion, processing, orchestration, serving, and observability.
  • Oversee the design, development, production deployment, and maintenance of AI components.
  • Ensure quality through testing, validation, error management, robustness to real-world cases, drift management, and monitoring.
  • Challenge existing approaches and propose innovations in model selection, cost and latency optimization, new components, and tooling.
  • Conduct active research into models, frameworks, Azure services, and MLOps/LLMOps practices, and translate findings into actionable decisions.
  • Define and implement DevOps practices for CI/CD, infrastructure as code, environments, security, secrets management, and observability.
  • Communicate results and trade-offs, and maintain strong alignment with business sponsors and IT teams.
  • Make complex topics clear through roadmaps, risk reporting, KPIs, and technical-debt communication.

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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