At a Glance
- Tasks: Lead AI solutions development, collaborating with teams to enhance business operations.
- Company: Join AXIS Capital, a global leader in specialty insurance and reinsurance.
- Benefits: Enjoy competitive pay, health plans, tuition reimbursement, and flexible work options.
- Why this job: Be part of an innovative team transforming the insurance industry with cutting-edge AI technology.
- Qualifications: Experience in AI/ML solutions, large language models, and strong Python skills required.
- Other info: Open to diverse backgrounds; mentorship opportunities available.
The predicted salary is between 48000 - 84000 Β£ per year.
Lead AI Solutions Engineer page is loaded
Lead AI Solutions Engineer
Apply locations London – Scalpel time type Full time posted on Posted Yesterday job requisition id REQ06073
This is your opportunity to join AXIS Capital β 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 AXISβs 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.
About Us
We are shaping the direction of Insurance and Reinsurance during a critical and exciting time for the industry.
Whether you are a student approaching graduation or a seasoned professional looking for a new environment, AXIS has the right challenges and career opportunities for you. At AXIS, we value each individual and recognize that attracting and retaining the right people is essential to the success of our company.
We offer a comprehensive and competitive benefits package which includes medical plans for employees and their families, health and wellness programs, retirement plans, tuition reimbursement, paid vacation, and much more.
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Lead AI Solutions Engineer employer: AXIS Capital
Contact Detail:
AXIS Capital Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Lead AI Solutions Engineer
β¨Tip Number 1
Familiarise yourself with the latest advancements in AI and machine learning, particularly in large language models and generative AI. This knowledge will not only help you during interviews but also demonstrate your passion for the field.
β¨Tip Number 2
Network with professionals in the AI and insurance sectors. Attend industry events or webinars to connect with potential colleagues at AXIS Capital, which can give you insights into the company culture and expectations.
β¨Tip Number 3
Showcase your hands-on experience with Azure Databricks and other relevant tools in your discussions. Be prepared to discuss specific projects where you've successfully implemented AI solutions, as this will highlight your practical skills.
β¨Tip Number 4
Prepare to discuss your approach to mentoring and leading teams, as leadership experience is preferred for this role. Think of examples where you've guided junior engineers or influenced architectural decisions in cross-functional settings.
We think you need these skills to ace Lead AI Solutions Engineer
Some tips for your application π«‘
Tailor Your CV: Make sure your CV highlights relevant experience in AI/ML solutions, particularly with large language models and generative AI. Use specific examples that demonstrate your hands-on expertise with Azure Databricks and Python development.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how your skills align with the role. Mention your experience in mentoring and collaboration, as well as your understanding of the financial services sector, if applicable.
Showcase Your Technical Skills: Clearly outline your technical skills related to AI solution delivery, including MLOps best practices, CI/CD, and cloud environments. Provide examples of how you've integrated AI models into real-world applications.
Highlight Soft Skills: Don't forget to mention your communication and collaboration skills. The role requires working cross-functionally, so emphasise your ability to work effectively with data scientists, engineers, and business teams.
How to prepare for a job interview at AXIS Capital
β¨Showcase Your AI Expertise
Make sure to highlight your experience with large language models and generative AI during the interview. Be prepared to discuss specific projects where you've implemented these technologies, as well as the challenges you faced and how you overcame them.
β¨Demonstrate Collaboration Skills
Since the role involves working cross-functionally, emphasise your ability to collaborate with data scientists, engineers, and business stakeholders. Share examples of how you've successfully worked in teams to deliver AI solutions that meet business needs.
β¨Prepare for Technical Questions
Expect technical questions related to AI/ML solutions, particularly around Azure Databricks and Python development. Brush up on your knowledge of MLOps best practices and be ready to discuss how you've applied them in previous roles.
β¨Express Your Passion for Innovation
AXIS values innovation, so convey your enthusiasm for staying current with advancements in AI/ML technologies. Discuss any recent trends or tools you've explored and how you envision applying them to enhance business operations.