At a Glance
- Tasks: Deliver AI-powered solutions for diverse financial service clients and support discovery workshops.
- Company: Join EY, a leading firm with a focus on innovation and diversity.
- Benefits: Enjoy a hybrid working model, competitive salary, and opportunities for skill development.
- Other info: Dynamic work environment with a focus on future-focused skills and career growth.
- Why this job: Make an impact in the AI field while working with top-tier clients across the UK.
- Qualifications: Solid software development background, understanding of cloud services, and strong communication skills.
The predicted salary is between 50000 - 70000 € per year.
Join EY as a Consultant – Applied AI Engineer in Manchester, where you will work with diverse financial service clients to deliver AI-powered solutions. This full-time role involves supporting discovery workshops, building LLM/RAG features, and benefiting from a hybrid working model with UK-wide client travel.
Candidates should have a solid foundation in software development, an understanding of cloud services, and strong communication skills.
EY offers a diverse culture focused on developing future-focused skills.
Applied AI Engineer - Hybrid, Client-Facing Production AI employer: EY
At EY, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters innovation and collaboration. As an Applied AI Engineer in Manchester, you will have access to extensive employee growth opportunities, including professional development and training in cutting-edge technologies, all while enjoying the flexibility of a hybrid working model. Join us to be part of a diverse team dedicated to delivering impactful AI solutions for our clients across the financial services sector.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI Engineer - Hybrid, Client-Facing Production AI
✨Tip Number 1
Network like a pro! Reach out to current or former employees at EY on LinkedIn. A friendly chat can give us insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your AI projects or any relevant software development work. This will help us demonstrate your hands-on experience and problem-solving abilities during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for AI roles. We can even do mock interviews with friends or use online resources to refine our answers and boost our confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we can tailor our CV and cover letter to highlight how our skills align with the role of an Applied AI Engineer at EY.
We think you need these skills to ace Applied AI Engineer - Hybrid, Client-Facing Production AI
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 the role of an Applied AI Engineer and how you can contribute to our innovative projects.
Highlight Relevant Experience:Make sure to showcase any experience you have in software development and cloud services. We’re looking for candidates who can hit the ground running, so don’t be shy about sharing your past projects or roles that relate to this position.
Tailor Your Application:Take a moment to customise your application for this specific role. Mention how your skills and experiences make you a great fit for working with diverse financial service clients and delivering AI-powered solutions.
Keep It Clear and Concise:We appreciate clarity! Make your application easy to read by keeping it concise and to the point. Use bullet points where necessary and ensure your communication skills come across strongly in your writing.
How to prepare for a job interview at EY
✨Know Your AI Inside Out
Make sure you brush up on your knowledge of AI technologies, especially LLM and RAG features. Be ready to discuss how you've applied these in past projects or how you would approach them in a client-facing role.
✨Showcase Your Software Skills
Prepare to talk about your software development experience. Bring examples of projects where you’ve used cloud services, and be ready to explain your thought process and the impact of your work.
✨Communicate Clearly and Confidently
Since this role involves client interaction, practice articulating complex ideas in simple terms. Use mock interviews to refine your communication skills and ensure you can convey technical concepts effectively.
✨Embrace the Hybrid Model
Familiarise yourself with the hybrid working model and be prepared to discuss how you manage your time and productivity in both remote and in-person settings. Highlight any previous experiences that demonstrate your adaptability.
