Principal AI Engineer

Working closely with business stakeholders and product teams the Principal AI Engineer provides hands-on technical leadership and is accountable for the technical quality of assigned AI initiatives while promoting technical excellence best practices and innovation across the organization.

• Design develop and deploy AI and advanced analytics products that address high-value business challenges across the P&C business.

• Drive the end-to-end implementation of machine learning generative AI and data science solutions from experimentation to production.

• Collaborate with business product and technology stakeholders to translate requirements into robust and scalable solutions.

• Apply and promote best practices in model development software engineering MLOps testing and AI product lifecycle management.

• Provide technical guidance mentoring and peer reviews to Data Scientists and Machine Learning Engineers helping raise engineering and modelling standards across the team.

• Contribute technical expertise to complex initiatives and support innovation through experimentation with emerging AI technologies.

• Ensure solutions meet performance reliability governance and responsible AI standards.

Experience and Skills

• At least 8 years of experience designing developing and deploying AI machine learning and advanced analytics solutions in production environments.
• Strong expertise in machine learning generative AI statistical modelling and software engineering.
• Proven experience developing and maintaining production-grade AI products applications and services.
• Advanced experience in model validation performance evaluation interpretability and the identification and mitigation of model limitations and bias.
• Strong programming skills in Python including object-oriented programming API development and frameworks such as FastAPI.
• Experience building AI solutions on cloud platforms preferably Microsoft Azure.
• Strong understanding of AI industrialization practices including MLOps model packaging CI/CD testing deployment and monitoring.
• Experience with cloud-native technologies including Kubernetes PostgreSQL and cloud storage services.
• Ability to solve complex technical problems and deliver robust scalable and maintainable solutions from concept to production.
• Strong communication and collaboration skills and ability to work effectively in multidisciplinary teams.
• Experience with Databricks and Palantir Foundry is a strong plus.

Education

• Masters degree in Science Technology Engineering Mathematics Computer Science Actuarial Science or similar quantitative field