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: Proactive approach to cloud technologies is a plus.
- Why this job: Make an impact in the AI field while working with diverse teams.
- 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 directly with clients across the UK. This role not only allows for professional growth but also provides the unique advantage of contributing to cutting-edge technology in a supportive and forward-thinking culture.
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 people in the industry, especially those at EY or similar firms. 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. Brush up on your communication skills and think about how you’d approach solution design for financial services clients. Practising these conversations can really boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. 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 in London
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let your enthusiasm for AI shine through! We want to see how your interest aligns with our mission at StudySmarter and how you can contribute to innovative solutions in the financial services sector.
Highlight Relevant Experience:Make sure to showcase any experience you have with AI technologies, especially LLM/RAG basics. We’re looking for candidates who can demonstrate their software skills and how they’ve applied them in real-world scenarios.
Tailor Your Application:Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the Consultant – Applied AI Engineer role. We appreciate when candidates show they’ve done their homework on us and the position.
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 during the process!
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 requirements.
✨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 help demonstrate your technical expertise and problem-solving abilities, which are crucial for the position.
✨Engage with Client Scenarios
Since the role involves client engagement, think of scenarios where you've interacted with clients or stakeholders. Be ready to discuss how you approached solution design and any challenges you faced. This will highlight your proactive approach and communication skills.
✨Embrace the Hybrid Work Culture
Familiarise yourself with hybrid work settings and be prepared to discuss how you manage your time and productivity in such environments. Mention any experience you have with remote collaboration tools, as this will show you're adaptable and ready for the flexible environment EY offers.
