AI Engineer

About AXA:

AXA is a global leader in insurance and financial services, dedicated to helping customers protect what matters most to them. As the sixth-largest insurance company in the world, we provide a wide range of services, including health, car, home, and business insurance. We support millions of customers worldwide, helping them navigate life's uncertainties with confidence.

AXA UK Support Functions look after our three customer-facing business units, providing the infrastructure and expertise to make sure we can be there for our customers.

Job overview:

We're seeking a passionate AI Engineer to join our innovative team at AXA. You'll leverage your expertise in AI and machine learning, to develop and deploy advanced AI and GenAI applications that enhance our insurance products and services. Collaborating across teams, you'll drive the integration of cutting-edge AI technologies into various operational areas, transforming how we serve our customers and optimise business processes.

Key Responsibilities:

• Design, develop, and deploy AI and GenAI applications within AXA environments.
• Build and implement multi-agent AI systems using Task, Domain and Orchestrator agents.
• Create core AI components such as memory, guardrails, orchestration and tools marketplace.
• Seamlessly integrate AI solutions into existing systems and workflows.
• Collaborate with data engineers to develop supporting data pipelines and infrastructure.
• Monitor and evaluate the performance of AI applications and agent systems.
• Work with cross-functional teams to define and implement new AI features.

Work arrangements: 

At AXA we work smart, empowering our people to balance their time between home and the office in a way that works best for them, their team and our customers. You'll work at least two days a week (40%) away from home, moving to three days a week (60%) in the future. Away from home means attending the office, visiting clients or attending industry events. We’re also happy to consider flexible working arrangements, which you can discuss with Talent Acquisition. 

Your skills & experience: 

• Proven full-stack engineering experience, including developing code as infrastructure for DevOps deployment pipelines, with containerisation skills using Docker and Kubernetes.
• Applied experience in building and deploying applications in cloud-native environments, preferably Azure, including Azure Functions, API Management, Azure AI Foundry, Resource Groups, Storage Accounts, Application Insights and Key Vault.
• Practical experience of developing GenAI applications, such as Retrieval-Augmented Generation (RAG), prompt and context engineering, embeddings, chat completions and integrating with Large Language Model (LLM) APIs.
• Understanding of Agentic AI components and infrastructure, including LLMs, Multi-Component Processes (MCP), agent hierarchies, orchestration, evaluations, memory and trace setup.
• Proficiency in programming languages such as Python, SQL, ReAct, and NodeJS.
• Demonstrable experience in designing scalable AI solutions and integrating them into complex systems.
• Ability to work collaboratively across multidisciplinary teams, translating technical requirements into practical AI solutions.
• Problem-solving skills with a keen attention to detail and a proactive approach to learning emerging AI technologies.

As a precondition of employment for this role, you must be eligible and authorised to work in the United Kingdom.

How to apply: 

To apply, click on the ‘apply now’ button, you’ll then need to log in or create a profile to submit your CV. We’re proud to be an Equal Opportunities Employer and don’t discriminate against employees or potential employees based on protected characteristics. If you have a long-term condition or disability and require adjustments during the application or interview process, we’re proud to offer access to the AXA Accessibility Concierge. For our support, please send an email to leanne.white@axa-insurance.co.uk. 

We encourage you to apply for this opportunity as soon as possible, as we may close this advert earlier than the listed closing date.  

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