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For Companies At a Glance
- Tasks: Design and develop advanced AI solutions that drive innovation and business value.
- Company: Join Allianz, a leading insurance brand with a commitment to innovation and inclusivity.
- Benefits: Enjoy flexible working, competitive salary, and a range of perks tailored for you.
- Why this job: Be a technical leader in AI, making a real impact on cutting-edge projects.
- Qualifications: Bachelor's degree in relevant field and experience in AI solution development.
- Other info: Flexible working options and excellent career growth opportunities await you.
The predicted salary is between 48000 - 84000 £ per year.
The purpose of this role is to design, develop, and deliver advanced artificial intelligence and Machine Learning solutions driving innovation and business value. The role exists to build robust, scalable, and production-ready AI systems by applying deep technical expertise across software engineering, cloud platforms, and operational best practices. They act as a technical leader, guiding the end-to-end AI lifecycle, from ideation and development to production deployment and monitoring.
Location: Guildford or London
About You
- AI Solution Development: Designs and implements advanced artificial intelligence models and systems, including generative and agentic AI, to address complex business challenges.
- End-to-End Pipeline Engineering: Develops and maintains scalable data and machine learning pipelines, ensuring seamless integration from data ingestion through model deployment and monitoring.
- Cloud Platform Delivery: Works with AI Architects to design and deliver AI solutions on major cloud platforms, ensuring reliability, scalability, and security in production environments.
- Operational Excellence: Implements best practices in MLOps and DevOps, including continuous integration, continuous deployment, and automated testing, to ensure efficient and reliable AI delivery.
- Performance Optimization: Monitors, evaluates, and optimizes the performance of AI models and infrastructure for accuracy.
- Technical Leadership: Provides technical guidance and mentorship to engineering and data science teams, fostering a culture of innovation and high-quality software development.
- Collaboration and Communication: Collaborates with cross-functional teams and communicates complex technical concepts to both technical and non-technical stakeholders, ensuring alignment and successful delivery of AI initiatives.
- Research and Innovation: Stays current with the latest AI/ML trends, research papers, and emerging technologies. Proactively experiments with new ideas and integrates relevant innovations into practical solutions.
Essential Skills
- Technical Skills: Demonstrates expertise in designing, developing, and deploying generative and agentic AI solutions, Computer Vision, with an excellent understanding of large language models and autonomous agents. Applies advanced knowledge of machine learning, deep learning, and AI frameworks such as Langchain, Semantic Kernel agent SDK and related libraries. Designs and delivers AI solutions on leading cloud platforms (Amazon Web Services, Microsoft Azure, Google Cloud Platform), leveraging native AI/ML services and cloud-native architectures. Develops and manages robust data pipelines, big data technologies (e.g., Spark, Kafka), and data management practices for feature stores and training data. Implements best practices for the machine learning lifecycle, including model versioning, CI/CD, containerization (Docker), orchestration (Kubernetes), and automated monitoring. Demonstrates excellent programming skills in Python and other relevant languages, with a solid foundation in software engineering principles for building production-grade systems. Applies knowledge of governance, security, and compliance requirements to ensure responsible and ethical AI development and deployment.
- Adaptability: The ability to learn and adapt quickly in the rapidly evolving field of AI.
Qualifications
- Bachelor’s degree in Computer Science, Engineering, Data Science, or related field (MBA or advanced degree a plus).
Experience
- Experience designing, developing, and deploying advanced AI solutions, including generative and agentic AI, in production environments.
- Experience of working in Insurtech across Claims, UW, Pricing and customer engagement.
- Experience building and maintaining scalable data and machine learning pipelines using modern big data and cloud technologies.
- Experience applying MLOps and DevOps best practices, including CI/CD, containerization, and automated testing.
- Experience working with cross-functional teams, including data scientists, engineers, and business stakeholders, to deliver impactful AI solutions.
- Experience communicating complex technical concepts to diverse audiences and driving alignment across teams.
What We Will Offer You
- Recognised and rewarded for a job well done, we have a range of flexible benefits for you to choose from.
- Flexible working options, global career opportunities across the wider Allianz Group, and fantastic career development and training.
- Flexible buy/sell holiday options.
- Hybrid working.
- Annual performance related bonus.
- Contributory pension scheme.
- Development days.
- A discount up to 50% on a range of insurance products including car, home and pet.
- Retail discounts.
- Volunteering days.
Our Ways of Working
Do you need flexibility with the hours you work? Let us know as part of your application and if it’s right for our customers, our business and for you, then we’ll do everything we can to make it happen. Here at Allianz, we are signatories of the ABI's flexible working charter. We believe in supporting hybrid work patterns, which balance the needs of our customers, with your personal circumstances and our business requirements. Our aim with this is to help innovation, creativity, and you to thrive - Your work life balance is important to us.
Integrity, Fairness, Inclusion & Trust
At Allianz, we believe in fostering an inclusive workforce and are proud to be an equal opportunity employer. Our commitment to equal opportunities, gender equity, and balanced gender representation, is demonstrated by our numerous accreditations.
Accessible Application for All
As part of the Disability Confident Scheme, we support candidates with disabilities or long-term health conditions through the Offer an Interview Scheme, for those meeting the essential skills for the role.
If you are an at-risk candidate facing potential redeployment, please include this information in your CV. We reserve the right to close the advert early if we reach enough applications.
Join us - Let’s Care for Tomorrow.
Senior AI Engineer in Guildford employer: Allianz Management Services Ltd
Contact Detail:
Allianz Management Services Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer in Guildford
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field, attend meetups, and engage in online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, models, and any relevant work. This gives potential employers a tangible sense of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common AI and ML questions. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical folks.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior AI Engineer in Guildford
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Senior AI Engineer role. Highlight your experience with AI solutions, cloud platforms, and MLOps practices. We want to see how your skills align with what we're looking for!
Showcase Your Technical Skills: Don’t hold back on showcasing your technical expertise! Mention specific projects where you've designed and deployed AI models or built data pipelines. We love seeing real examples of your work that demonstrate your capabilities.
Communicate Clearly: Remember, we value clear communication! When describing your experiences, use straightforward language that can be understood by both technical and non-technical folks. This will help us see how you can collaborate across teams.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're serious about joining our team at StudySmarter!
How to prepare for a job interview at Allianz Management Services Ltd
✨Know Your AI Stuff
Make sure you brush up on the latest trends in AI and machine learning. Be ready to discuss your experience with generative and agentic AI, as well as any relevant projects you've worked on. This shows you're not just familiar with the theory but can apply it practically.
✨Showcase Your Technical Skills
Prepare to talk about your expertise in programming languages like Python and your experience with cloud platforms such as AWS or Azure. Highlight specific examples of how you've built scalable data pipelines or implemented MLOps best practices in previous roles.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. You’ll likely be speaking with both technical and non-technical stakeholders, so being able to bridge that gap is crucial. Think of examples where you successfully communicated your ideas to diverse teams.
✨Demonstrate Leadership Qualities
As a Senior AI Engineer, you'll be expected to guide others. Share experiences where you've mentored team members or led projects. This will show that you’re not only technically proficient but also capable of fostering a collaborative environment.
