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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 growth potential.
- Why this job: Be at the forefront of AI technology and make a real difference for 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 in London 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 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 fundamentals and LLM/RAG knowledge in action.
✨Tip Number 3
Prepare for the interview 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 are proactive about their job search.
We think you need these skills to ace Applied AI Engineer – Client‑Facing, Hybrid & Travel in London
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let us see your enthusiasm for AI! Share any projects or experiences that highlight your interest in applied AI and how you’ve tackled real-world challenges. This will help us understand your motivation and fit for the role.
Tailor Your Application: Make sure to customise your application to align with the job description. Highlight your software fundamentals knowledge and any experience with LLM/RAG. We want to see how your skills match what we’re looking for, so don’t hold back!
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language and avoid jargon unless it’s relevant. We appreciate a well-structured application that makes it easy for us to see your qualifications and potential.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team at StudySmarter!
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, practice crafting a few examples beforehand. Think about how you would approach a specific problem in the financial services sector and how you would translate that into actionable user stories. This will demonstrate your ability to think critically and creatively.
✨Engage in Delivery Workshops
Familiarise yourself with the concept of delivery workshops and be prepared to discuss how you would contribute to them. Consider what role you would take in facilitating discussions or brainstorming sessions, as this shows your collaborative spirit and readiness to engage with clients and team members alike.
✨Show Your Willingness to Learn
In a dynamic, hybrid working environment, adaptability is key. Be open about your eagerness to learn new technologies and methodologies. Share examples from your past experiences where you've successfully adapted to new challenges, as this will highlight your growth mindset and fit for the role.