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- Tasks: Design and optimise GenAI-driven underwriting assistants and AI workflows.
- Company: Leading insurance firm at the forefront of AI innovation.
- Benefits: Permanent role with hybrid working, competitive salary, and growth opportunities.
- Other info: Collaborate with experts and make a real impact in the insurance domain.
- Why this job: Join a dynamic team to revolutionise the insurance industry with AI.
- Qualifications: 5-10 years in insurance, prompt engineering, and AI workflow orchestration.
The predicted salary is between 60000 - 80000 £ per year.
We are specifically looking for professionals with strong Insurance and Underwriting domain expertise combined with hands-on experience in Generative AI and Prompt Engineering. The role focuses on designing and optimizing GenAI-driven underwriting assistants, AI workflows, risk insights, summarization, adverse media analysis, and underwriting decision-support solutions.
The ideal candidate would have experience with:
- Prompt Engineering & LLM optimization
- RAG architectures and AI workflow orchestration
- Responsible AI and hallucination reduction
- Insurance underwriting processes and risk assessment
- Working closely with underwriters, SMEs, and AI engineering teams
This is a permanent opportunity based in London, UK with a hybrid working model.
Engineer, Data employer: MANNING SERVICES LIMITED
Contact Detail:
MANNING SERVICES LIMITED Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Engineer, Data
✨Tip Number 1
Network like a pro! Reach out to folks in the insurance and AI space on LinkedIn. Join relevant groups and engage in discussions. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work in prompt engineering and AI workflows. This can be a game-changer during interviews, as it gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for those tricky interview questions! Brush up on your knowledge of insurance underwriting processes and risk assessment. Being able to discuss these topics confidently will set you apart from the competition.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Engineer, Data
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in the insurance and underwriting domain. We want to see how your skills in Generative AI and Prompt Engineering fit into the role, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about the insurance sector and how your expertise can help us design and optimise GenAI-driven solutions. Keep it engaging and personal!
Showcase Your Technical Skills: We’re looking for hands-on experience, so be sure to include specific examples of your work with LLM optimisation, RAG architectures, and AI workflows. The more detail you provide, the better we can understand your capabilities!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at MANNING SERVICES LIMITED
✨Know Your Stuff
Make sure you brush up on your knowledge of the insurance and underwriting domain. Understand the key processes and challenges in this field, as well as how Generative AI can enhance these areas. Being able to discuss specific examples will show that you're not just familiar with the concepts but can apply them practically.
✨Showcase Your Technical Skills
Prepare to discuss your hands-on experience with Prompt Engineering and LLM optimisation. Be ready to explain how you've implemented these technologies in past projects, particularly in relation to risk insights and decision-support solutions. Having concrete examples will help demonstrate your expertise.
✨Collaborate Like a Pro
Since the role involves working closely with underwriters and AI engineering teams, be prepared to talk about your collaboration skills. Share experiences where you successfully worked in cross-functional teams, highlighting how you communicated complex technical ideas to non-technical stakeholders.
✨Stay Ahead of Responsible AI
Familiarise yourself with the principles of Responsible AI and strategies for hallucination reduction. Discussing your understanding of ethical AI practices and how they apply to the insurance sector will show that you’re not only technically savvy but also socially responsible in your approach.