Artificial Intelligence Engineering Executive Manager

il y a 6 jours

Paris, Île-de-France AXA Group Temps plein
About the Role

We are seeking a highly skilled and experienced Artificial Intelligence Engineering Executive Manager to join our team at AXA Group Operations. As a key member of our organization, you will play a critical role in driving the development and implementation of our AI strategy, leading a team of expert engineers in artificial intelligence, machine learning, and data, and ensuring the operational excellence of our AI solutions.

Key Responsibilities
  • Contribute to the development and implementation of the AXA Technology/Data & Operations (TDO) strategy and the AI & Innovation strategy.
  • Lead and supervise a team of 10 expert engineers in artificial intelligence, machine learning, and data, ensuring that performance objectives are met.
  • Define and maintain standards and best practices in artificial intelligence engineering to ensure operational excellence.
  • Lead the entities increasing maturity levels by industrializing practices and tools in artificial intelligence engineering, including MLOps and LLMOps.
  • Promote and communicate on any new initiatives through internal activities and external events.
  • Collaborate with other AXA GO divisions and AXA entities to ensure seamless integration of AI solutions across the organization.
  • Maintain continuous technological awareness to stay at the forefront of AI advancements.
Requirements
  • 15+ years' experience in Artificial Intelligence (Data Science, Machine Learning, GenAI,...) leading design and implementation, and bringing a product from concept to completion.
  • People person with proved experiences in recruiting, building and managing successful teams.
  • Ability to attract, select, motivate and inspire data talents.
  • Self-motivated and proactive, with demonstrated creative and critical thinking capabilities.
  • Self-sufficient in analyzing and drawing conclusions about quality and product opportunity from raw and refined product data.
  • Great communication and presentation skills, written and verbal, to all levels of an organization.
  • Strong leadership with a proven ability to communicate to senior executives while leading projects.
  • Strong results-orientation, customer centricity.
  • True team player who can break the silos with tact and diplomacy.
  • Autonomy, curiosity and innovation capability, appetite for continuous learning and improvement.
  • Not afraid of unclear, ambiguous situations with a need to invent success path.
  • Comfortable working in a multidisciplinary team, strongly business oriented.
Technical Proficiency
  • Strong analytical and problem-solving skills.
  • Strong understanding of data & emerging technologies challenges and IT/technological principles.
  • Good understanding of state-of-the-art machine learning, data, big data technologies, Iot, Geospatial, natural language processing science, GenAI concepts.
  • Good insurance business and customer knowledge to identify use cases and in order to explain technical data-related issued to insurance managers across all hierarchies with business mindset.
  • Professional experience in project management and in change management in a deep business transformation context.
  • Set up and manage our AI development and production infrastructure.
  • Help AI product managers and business stakeholders understand the potential and limitations of AI when planning new products.
  • Build data ingest and data transformation infrastructure.
  • Identify transfer learning opportunities and new training datasets.
  • Build AI models from scratch and help product managers and stakeholders understand results.
  • Deploy AI models into production.
  • Create APIs and help business customers put results of your AI models into operations.
  • Background in programing language, cloud, Scrum, testing methodology.
  • Keep current of latest AI research relevant to our business domain.
  • Fluency in English is mandatory.

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