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- Tasks: Lead AI transformation projects for insurance clients, focusing on innovative systems and decision intelligence.
- Company: Forward-thinking consulting firm with a remote-first approach.
- Benefits: Flexible work environment, competitive salary, and opportunities for travel.
- Why this job: Shape the future of insurance with cutting-edge AI technologies and make a real difference.
- Qualifications: Experience in AI engineering and consulting, with strong problem-solving skills.
- Other info: Join a dynamic team with excellent career advancement potential.
The predicted salary is between 48000 - 72000 £ per year.
Remote-first with occasional travel to client offices and two trips to London HQ per month.
Role Overview:
Lead the design and delivery of AI-native transformation initiatives for insurance clients, spanning agentic systems, retrieval architectures, semantic layers and decision intelligence. This is a senior, hands-on consulting role combining deep AI engineering expertise.
Llm, Rag in England employer: Staffworx Limited
Contact Detail:
Staffworx Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Llm, Rag in England
✨Tip Number 1
Network like a pro! Reach out to folks in the insurance sector and AI space. Use LinkedIn to connect with potential colleagues or even past employees of companies you're interested in. A friendly chat can open doors!
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your experience with AI-native transformations and decision intelligence. When you get the chance to chat with hiring managers, let your work speak for itself.
✨Tip Number 3
Practice makes perfect! Get ready for those interviews by doing mock sessions with friends or mentors. Focus on articulating your experience with agentic systems and retrieval architectures clearly and confidently.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it shows you’re genuinely interested in joining our team!
We think you need these skills to ace Llm, Rag in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that are relevant to the LLM, RAG & Agentic Consulting Engineer role. Highlight any previous work in AI transformation initiatives or consulting within the insurance sector.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI-native transformations and how your background makes you a perfect fit for our team at StudySmarter.
Showcase Your Technical Skills: Since this role involves deep AI engineering, don’t forget to mention specific technologies or methodologies you’ve worked with. We want to see your hands-on experience in action!
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’re considered for the role without any hiccups!
How to prepare for a job interview at Staffworx Limited
✨Know Your AI Stuff
Make sure you brush up on the latest trends in AI, especially as they relate to the insurance sector. Be ready to discuss specific technologies and methodologies you've used in past projects, particularly around agentic systems and retrieval architectures.
✨Showcase Your Consulting Skills
This role is all about consulting, so prepare examples of how you've successfully led transformation initiatives. Think about challenges you've faced and how you navigated them, as well as how you engaged with clients to deliver results.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving skills. Practice articulating your thought process when tackling complex issues, especially those related to decision intelligence and semantic layers in AI.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready. Inquire about the company's vision for AI in the insurance sector or how they measure the success of their transformation initiatives. This shows your genuine interest and strategic thinking.
