Lead AI Solutions Engineer

This is your opportunity to join AXIS Capital – a trusted global provider of specialty lines insurance and reinsurance.  We stand apart for our outstanding client service, intelligent risk taking and superior risk adjusted returns for our shareholders. We also proudly maintain an entrepreneurial, disciplined and ethical corporate culture.  As a member of AXIS, you join a team that is among the best in the industry.

At AXIS, we believe that we are only as strong as our people. We strive to create an inclusive and welcoming culture where employees of all backgrounds and from all walks of life feel comfortable and empowered to be themselves. This means that we bring our whole selves to work. 

All qualified applicants will receive consideration for employment without regard to race, color, religion or creed, sex, pregnancy, sexual orientation, gender identity or expression, national origin or ancestry, citizenship, physical or mental disability, age, marital status, civil union status, family or parental status, or any other characteristic protected by law. Accommodation is available upon request for candidates taking part in the selection process.

How does this role contribute to our collective success?

Data and analytics are of critical importance for AXIS.  Simply put, we want to turn data into information, that can be used to:

• Enable decisions to be made with confidence, based on information not just intuition.

• Be more proactive, using information to identify new opportunities, and getting to them before our competitors.
• Realize cost savings, finding ways to make processes more efficient, enabling our people to focus on using their skills to further add business value.

The Innovation & Analytics team is a core component of AXIS’s strategy, with the potential to transform the way in which we do business and enable us to effectively leverage data and technology to our competitive advantage. The central mandate is to horizon-scan, prototype and implement innovative solutions to business problems.

What will you do in this role?

The Lead AI Solutions Engineer has overall responsibility for developing and implementing artificial intelligence solutions to solve complex problems and enhance business operations. The successful candidate will work cross-functionally; operating between the business stakeholders, technology teams, and data scientists, to ensure that final solutions meet requirements.

The Lead AI Solutions Engineer is an expert in large language models, Gen AI application implementation and machine learning, and has a passion for creating intelligent systems that automate processes, improve efficiency, and drive business innovation.

In this role you will be responsible for:

• Design and lead end-to-end AI solution architectures, from data ingestion and model development to deployment and integration with front-end applications.
• Collaborate closely with data scientists to translate research prototypes and models (especially LLM-based) into scalable, production-ready systems.
• Work with application and front-end teams to integrate AI capabilities into user-facing products, ensuring seamless user experiences.
• Own the technical roadmap for AI solution delivery, balancing innovation with maintainability, scalability, and performance.
• Develop and maintain reusable components, APIs, and services that enable rapid deployment of AI features across products.

• Champion best practices in MLOps and software engineering, including CI/CD, testing, observability, and versioning for AI systems.
• Mentor and guide junior engineers and cross-functional team members, fostering a culture of technical excellence and collaboration.

• Stay current with advancements in AI/ML and LLM technologies and proactively identify opportunities to apply them to business challenges.

About You:

We encourage you to bring your own experience and expertise to the table so, while there are some qualifications and experiences we need you to have, we are open to discussing how your individual knowledge might lend itself to fulfilling this role and help us achieve our goals.

What you need to have:

• Proven experience delivering AI/ML solutions in production, with a strong focus on large language models (LLMs) and generative AI.
• Hands-on expertise with Azure Databricks, including data engineering, model development, and orchestration of ML workflows.
• Practical experience using LLMs and RAG, including prompt design, vector databases, model deployment, and integration into applications.
• Strong Python development skills, with experience building scalable, maintainable AI services and APIs.
• Experience integrating AI models into real-world applications, working closely with front-end or product engineering teams.
• A passion for driving best practices, including code standards, model lifecycle management, CI/CD, and monitoring in cloud environments.
• Familiarity with the Azure ecosystem, such as Azure Machine Learning, Azure DevOps, and related cloud-native tools.
• Excellent communication and collaboration skills, with the ability to work effectively across data science, engineering, and business teams.

What we prefer you to have:

• Leadership experience, including mentoring engineers and driving architectural decisions in cross-functional settings.
• Financial services experience, with an understanding of domain-specific challenges such as compliance, risk and data sensitivity.
• Model evaluation experience, including techniques for measuring accuracy, drift, bias and hallucinations in production.
• Familiarity with agile delivery methodologies, including working in cross-functional squads or product-aligned teams.

Role Factors:

In this role, you will typically be required to:

• Engage in company activities to grow your network and build a strong team culture.
• Attend your local office to meet and build relationships with colleagues and the wider business.

What we offer:

You will be eligible for a comprehensive and competitive benefits package which includes medical plans for you and your family, health and wellness programs, retirement plans, tuition reimbursement, paid annual leave, and much more.