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- Tasks: Transform business challenges into AI solutions and support delivery workshops.
- Company: Join EY, a leader in financial services innovation.
- Benefits: Enjoy a competitive salary, hybrid work, and continuous learning opportunities.
- Other info: Dynamic role with travel opportunities and career advancement.
- Why this job: Be at the forefront of AI technology and make a difference for top clients.
- Qualifications: Basic software knowledge and eagerness to learn about AI.
The predicted salary is between 50000 - 70000 £ per year.
EY is looking for a Consultant – Applied AI Engineer to join their delivery squad focused on building real AI-powered solutions for leading financial services clients. This permanent, full-time role involves converting business challenges into user stories, supporting delivery workshops, and implementing features under guidance.
Candidates should have:
- Software fundamentals knowledge
- Basics in LLM/RAG
- A willingness to learn in a dynamic, hybrid working environment
Applied AI Engineer – Client‑Facing, Hybrid & Travel employer: EY
Contact Detail:
EY Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied AI Engineer – Client‑Facing, Hybrid & Travel
✨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 a job description just can't.
✨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 fundamentals and LLM/RAG knowledge in action.
✨Tip Number 3
Prepare for interviews by practising common questions related to AI and client-facing roles. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Applied AI Engineer – Client‑Facing, Hybrid & Travel
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your software fundamentals and any experience with LLM/RAG. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or experiences!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how you can contribute to our team. Remember, we love seeing enthusiasm for AI-powered solutions!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled business challenges in the past. We’re looking for candidates who can turn complex problems into user stories, so share your thought process!
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. Plus, it’s super easy!
How to prepare for a job interview at EY
✨Know Your AI Fundamentals
Make sure you brush up on your software fundamentals and have a solid understanding of LLM (Large Language Models) and RAG (Retrieval-Augmented Generation). Be ready to discuss how these concepts can be applied to real-world business challenges, as this will show your potential employer that you're not just knowledgeable but also practical.
✨Prepare User Stories
Since the role involves converting business challenges into user stories, it’s a good idea to prepare a few examples beforehand. Think about past experiences where you’ve identified a problem and crafted a solution. This will demonstrate your ability to think critically and creatively, which is key for the position.
✨Show Your Willingness to Learn
In a dynamic environment like EY, showing enthusiasm for learning is crucial. Be prepared to discuss how you've approached learning new technologies or methodologies in the past. This could be through online courses, personal projects, or even collaborative work with peers. It’ll highlight your adaptability and eagerness to grow.
✨Engage in Delivery Workshops
Since the role involves supporting delivery workshops, think about how you can contribute to team discussions. Prepare questions or ideas related to AI solutions in financial services. This shows that you’re proactive and ready to engage with the team, which is essential for a client-facing role.