At a Glance
- Tasks: Design and deploy cutting-edge AI solutions that drive digital transformation.
- Company: Join AXA XL, a leader in innovative risk solutions.
- Benefits: Enjoy competitive pay, flexible working, and inclusive benefits.
- Other info: Be part of a diverse culture that values sustainability and community.
- Why this job: Make a real impact with advanced AI technologies in a dynamic team.
- Qualifications: Experience with AI tools, programming, and cloud services required.
The predicted salary is between 63000 - 77000 £ per year.
We are seeking a highly skilled and innovative Senior AI Engineer to join our Digital Factory team. You will be responsible for designing, developing, and deploying cutting-edge AI solutions at scale. You will leverage AI-assisted coding tools, cloud platforms, and microservice architectures to create reliable, high-performance AI-powered features that drive digital transformation and automation across the organization.
What you'll be doing
- Leverage Advanced Coding Tools: Utilize AI-assisted coding platforms such as Claude Code and GitHub Copilot to accelerate software development, conduct code reviews, and optimize coding workflows.
- Architect and Maintain Scalable Microservices: Design, develop, and sustain robust microservice architectures on cloud platforms like AWS, Azure, or Google Cloud Platform (GCP). Ensure that these architectures are scalable, secure, and capable of handling high volumes of data and user interactions, supporting the organization’s digital transformation initiatives.
- Integrate AI Models into Production: Seamlessly incorporate AI and automation models into live environments, ensuring they operate reliably under real-world conditions. Collaborate with data scientists and product teams to optimize models for deployment and develop APIs and interfaces necessary for integration.
- Automate Deployment and Monitoring: Build and enhance automated CI/CD pipelines for deploying AI solutions, enabling rapid and safe updates. Set up comprehensive monitoring systems to track system performance, detect anomalies, and promptly troubleshoot issues, ensuring the stability and efficiency of AI operations.
- Implement ML Ops and Cloud Best Practices: Apply ML Ops principles to streamline model lifecycle management, including versioning, testing, and deployment. Use cloud-native tools and frameworks to improve system automation, scalability, and security.
- Collaborate Cross-Functionally: Work in close partnership with data scientists, software engineers, product managers, and other stakeholders to understand requirements, develop innovative AI features, and integrate solutions that meet business needs.
- Troubleshoot and Optimize AI Infrastructure: Diagnose issues related to AI models, infrastructure, and deployment pipelines. Implement solutions to enhance system performance, reduce latency, and improve overall reliability and user experience.
You will report to Global Head of Digital Factory.
What you’ll bring
We’re looking for someone who has these abilities and skills:
- Required Skills and Abilities: Proven experience with AI-assisted coding tools such as Claude Code and GitHub Copilot. Outstanding programming skills in Python, R, Java, or similar languages. Hands-on experience working with cloud services and deployment tools. Solid understanding of microservice architecture, containerization (Docker, Kubernetes), and automation frameworks. Knowledge of ML Ops, LLMOps, and AI system integration processes.
- Desired Skills and Abilities: Practical experience with Generative AI and large language models (LLMs). Prior involvement with agentic or autonomous AI platforms. Excellent problem-solving abilities and a collaborative mindset.
Senior AI Engineer employer: AXA Group
AXA XL in London is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation within the insurance sector. Employees benefit from comprehensive professional development opportunities, competitive compensation, and a strong emphasis on work-life balance, making it an ideal environment for those looking to advance their careers in underwriting while enjoying the vibrant atmosphere of London.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at AXA Group or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to AXA Group.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like AXA Group.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like AXA Group that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Senior AI Engineer
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at AXA Group.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at AXA Group and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at AXA Group
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If AXA Group uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
