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Senior AI Engineer

Job in Stamford, Fairfield County, Connecticut, 06925, USA
Listing for: AXA XL
Full Time position
Listed on 2025-12-05
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below

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AXA XL is an Equal Opportunity Employer.

Senior AI Engineer

New York, NY | Hartford, CT | Stamford, CT | Morristown, NJ | Exton, PA

AXA XL recognizes digital, data and information assets are critical for the business, both in terms of managing risk and enabling new business opportunities. Data Science and AI assets should not only be high quality but also drive a sustained market advantage and deliver a stellar experience to our internal, external customers and improve efficiency. Our Innovation, Data & Analytics function is focused on driving innovation by optimizing how we leverage digital, data and AI to drive strategy and differentiate ourselves from the competition.

As we develop an enterprise-wide data and digital strategy that moves us toward greater focus on the use of data and strengthen our digital and AI capabilities, we are seeking a Lead AI Engineer. In this role, you will manage a portfolio of Data Science and AI technical capabilities, projects and products that seek to yield a significant business benefit, build our industry advantage and help differentiate in the market through execution on innovation.

What you’ll be doing
  • Design, build and deliver scalable AI capabilities to drive the solutions which will enable functions across the insurance value chain such as underwriting, pricing, claims, distribution, operations etc.
  • Spearhead the development of innovative solution POC with a keen emphasis on leveraging GenAI technologies.
  • Develop, grow and mentor a team of data scientists and machine learning developers in the end-to-end development of AI solutions, from conceptualization and prototyping to deployment and continuous optimization.
  • Bridge the cutting-edge AI technologies and commonality of business objectives across AXA XL’s business lines, driving impactful, AI-enabled scalable, reusable technical capabilities.
  • Partner with key areas within AI Platforms, Pricing & Underwriting, Transformation & Change Delivery, Group and other teams to make scalable solutions available for projects.
  • Drive a culture of continuous improvement and innovation in the Data Science and AI space through use of best practice tools and techniques.

You will report to the Division Lead, Data Science and AI Excellence.

What you’ll bring
  • Hands‑on knowledge and experience in the full life cycle of AI technical capability development, from ideation and data exploration to model training, selection, deployment, and monitoring.
  • Experience in leveraging GenAI to develop and expand the AI product portfolio.
  • Drive best practices in AI and data science, ensuring a high level of technical rigor, reproducibility, and ethical standards.
  • Deep understanding and experience of managing AI productionalization journey through best practices in ML Ops, LLMOps, Micro‑service, Containerization and Cloud Engineering disciplines.
  • Requires a combination of solid execution, strategic thinking and ability to ‘connect the dots’.
  • A minimum of a bachelor or master’s degree in a relevant discipline.
  • Extensive experience in a Data Science, AI or related roles (Science, Statistics or Engineering) supporting multiple specialty areas of Digital, Data and Analytics.
  • Moderate leadership experience, leading programs or team members.
  • Passion for digital, data and AI and experience working within a digital and data driven organization.
Inclusion & Diversity

AXA XL is committed to equal employment opportunity and will consider applicants regardless of gender, sexual orientation, age, ethnicity and origins, marital status, religion, disability, or any other protected characteristic. At AXA XL, we know that an inclusive culture and enables business growth and is critical to our success. That’s why we have made a strategic commitment to attract, develop, advance and retain the most inclusive workforce possible, and create a culture where everyone can bring their full selves to work and reach their highest potential.

  • Five Business Resource Groups focused on gender, LGBTQ+, ethnicity and origins, disability and inclusion with 20 Chapters around the globe.
  • Robust support for Flexible Working
Position Requirements
10+ Years work experience
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