Senior AI Engineer

AXA XL is an Equal Opportunity Employer.

Locations:
New York, NY
• Hartford, CT
• Stamford, CT
• Morristown, NJ
• Exton, PA

AXA XL recognizes that 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 and external customers while improving 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.

• Design, build and deliver scalable AI capabilities that enable functions across the insurance value chain such as underwriting, pricing, claims, distribution, operations, etc.
• Spearhead development of innovative POCs 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 optimisation.
• Bridge cutting‑edge AI technologies and common 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.

• 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 the AI production‑alisation journey through best practices in ML Ops, LLMOps, micro‑service, containerisation and cloud engineering disciplines.
• Combination of solid execution, strategic thinking and ability to ‘connect the dots’.
• Minimum of a bachelor or master’s degree in a relevant discipline.
• Extensive experience in a data science, AI or related role supporting multiple specialty areas of Digital, Data and Analytics.
• Moderate leadership experience, leading programmes or team members.
• Passion for digital, data and AI and experience working within a digital and data‑driven organisation.

Inclusion

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 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 arrangements.
• Enhanced family‑friendly leave benefits.
• Named to the Diversity Best Practices Index.
• Signatory to the UK Women in Finance Charter.

Total Rewards

AXA XL’s reward programme is designed to take care of what matters most to you, covering the full picture of your health, wellbeing, lifestyle and financial security.

Sustainability

At AXA XL, sustainability is integral to our business strategy. Our 2023‑26 sustainability strategy, called “Roots of resilience”, focuses on protecting natural ecosystems, addressing climate change and embedding sustainable practices across our operations.

• Valuing nature:
  We’re committed to protecting and restoring nature and putting nature at the…