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Senior AI Engineer

Job in Morristown, Morris County, New Jersey, 07960, USA
Listing for: AXA XL
Full Time position
Listed on 2025-10-19
Job specializations:
  • IT/Tech
    AI Engineer, Data Science Manager, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 170500 - 215000 USD Yearly USD 170500.00 215000.00 YEAR
Job Description & How to Apply Below

Join to apply for the Senior AI Engineer role at AXA XL

AXA XL is an Equal Opportunity Employer.

Location
  • New York, NY
  • Hartford, CT
  • Stamford, CT
  • Morristown, NJ
  • Exton, PA
About AXA XL

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 be high quality, drive market advantage and deliver a stellar experience to customers.

Role Overview

In this Lead AI Engineer role, you will manage a portfolio of Data Science and AI technical capabilities, projects and products that yield significant business benefits and build industry advantage. You will develop, grow and mentor a team of data scientists and machine learning developers from concept to deployment.

Responsibilities
  • Design, build and deliver scalable AI capabilities across the insurance value chain – underwriting, pricing, claims, distribution and operations.
  • Spearhead innovative solution POCs with a strong focus on leveraging GenAI technologies.
  • Develop, grow and mentor a team of data scientists and ML developers through end‑to‑end AI solution development.
  • Bridge cutting‑edge AI technologies with business objectives across AXA XL’s business lines to deliver 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 Data Science and AI through best‑practice tools and techniques.
Qualifications
  • Hands‑on experience in the full lifecycle of AI technical capability development—ideation, data exploration, model training, deployment, monitoring.
  • Experience leveraging GenAI to develop and expand AI product portfolios.
  • Drive best practices in AI and data science, ensuring technical rigor, reproducibility and ethical standards.
  • Deep understanding of managing AI productionalization through ML Ops, LLMOps, micro‑services, containerization and cloud engineering.
  • A 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 Data Science, AI or related roles 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.
Compensation

U.S. base salary range: $170,500 to $215,000 USD. Pay is based on skills, experience and location with alignment to market and internal equity.

Benefits
  • Competitive retirement savings plan.
  • Health and wellness programs.
  • Flexible working arrangements.
  • Enhanced family‑friendly leave benefits.
  • Named to the Diversity Best Practices Index.
  • Signatory to the UK Women in Finance Charter.
Inclusion & Diversity

AXA XL is committed to equal employment opportunity. We consider applicants regardless of gender, sexual orientation, age, ethnicity, disability and other protected characteristics. We foster an inclusive culture where everyone can bring their full selves to work.

Sustainability

AXA XL’s 2023‑26 Sustainability strategy focuses on protecting natural ecosystems, addressing climate change and embedding sustainable practices across operations. Pillars include nature, climate, ESG integration and community action.

How to Apply

Join to apply for the Senior AI Engineer role at AXA XL. We look forward to reviewing your application.

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Position Requirements
10+ Years work experience
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