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 excellent growth potential.
- 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 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 be part of a diverse team that values your contributions. The hybrid work model allows for a balanced lifestyle while engaging with clients across the UK, making it a rewarding place to grow your career.
StudySmarter Expert Advice🤫
We think this is how you could land Client‑Facing Applied AI Engineer — Enterprise AI Solutions
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at EY or similar companies. A friendly chat can open doors and give you insights that might just land you an 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 knowledge of LLM/RAG basics in a way that stands out.
✨Tip Number 3
Prepare for client engagement scenarios. Think about how you would approach solution design for financial services clients. Practising these conversations can help you feel more confident during interviews.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for proactive individuals who are keen on cloud technologies and continuous improvement.
We think you need these skills to ace Client‑Facing Applied AI Engineer — Enterprise AI Solutions
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your software foundation and any experience with AI solutions 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 CV and cover letter for this specific role. Mention your knowledge of LLM/RAG basics and how you can contribute to client engagement and solution design.
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.
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 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 projects you've worked on that demonstrate your coding skills and problem-solving abilities. This is your chance to shine, so make it count!
✨Engage with Client Scenarios
Since the role involves client engagement, think of scenarios where you've successfully interacted with clients or stakeholders. Be ready to discuss how you approached solution design and any challenges you faced, as this will highlight your proactive approach.
✨Embrace the Hybrid Work Model
Familiarise yourself with the hybrid work setting. Be prepared to discuss how you manage your time and productivity when working remotely versus in the office. This shows that you can adapt to different environments, which is key for this role.
