At a Glance
- Tasks: Engage with clients and design AI-powered solutions for financial services.
- Company: Join EY UK, a leader in innovative enterprise AI solutions.
- Benefits: Flexible work environment, skill development, and travel opportunities across the UK.
- Other info: Work in a diverse team with continuous improvement and growth opportunities.
- Why this job: Be at the forefront of AI technology and make a difference in financial services.
- Qualifications: Strong software skills and knowledge of LLM/RAG basics required.
The predicted salary is between 50000 - 70000 £ per year.
EY UK is seeking a Consultant – Applied AI Engineer to work on AI-powered solutions for financial services clients. This position involves client engagement, solution design, and continuous improvement in a hybrid work setting with travel across the UK.
The ideal candidate will have a strong software foundation, knowledge of LLM/RAG basics, and a proactive approach to cloud technologies. EY offers a flexible environment and opportunities for skill development in a diverse team.
Client‐Facing Applied AI Engineer — Enterprise AI Solutions in London employer: EY UK
EY UK is an exceptional employer, offering a dynamic and flexible work environment that fosters innovation and collaboration in the field of AI solutions for financial services. With a strong emphasis on employee development, you will have access to continuous learning opportunities and the chance to work alongside a diverse team of experts, all while engaging with clients across the UK to deliver impactful solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Client‐Facing Applied AI Engineer — Enterprise AI Solutions in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and financial services sectors on LinkedIn. A friendly chat can open doors and give you insights that might just land you that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects or any relevant work. This is your chance to demonstrate your software foundation and cloud tech knowledge in a way that stands out.
✨Tip Number 3
Prepare for client engagement scenarios. Brush up on your communication skills and think about how you’d explain complex AI concepts to clients. Being able to simplify things can really impress during interviews.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you prepare, 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 Client‐Facing Applied AI Engineer — Enterprise AI Solutions in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your software foundation and any experience with LLM/RAG basics in your application. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application:Take a moment to customise your application for the Consultant – Applied AI Engineer position. Mention specific projects or experiences that relate to AI-powered solutions in financial services, as this will catch our eye.
Be Proactive:Demonstrate your proactive approach to cloud technologies in your written application. Share examples of how you've tackled challenges or improved processes in previous roles, as we value initiative!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at EY UK
✨Know Your AI Basics
Make sure you brush up on your knowledge of LLM (Large Language Models) and RAG (Retrieval-Augmented Generation). Be ready to discuss how these technologies can be applied in financial services, as this will show your understanding of the role and its relevance.
✨Showcase Your Software Skills
Prepare to talk about your software foundation. Bring examples of past projects where you've successfully implemented AI solutions. This will demonstrate your technical expertise and problem-solving abilities, which are crucial for the role.
✨Engage with Client Scenarios
Think about potential client engagement scenarios you might face. Practice articulating how you would approach solution design and continuous improvement for clients. This will highlight your proactive mindset and readiness to tackle real-world challenges.
✨Embrace the Hybrid Work Culture
Since the role involves a hybrid work setting, be prepared to discuss how you manage your time and productivity in both remote and in-person environments. Share any experiences that showcase your adaptability and teamwork skills, especially when collaborating across different locations.
