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- Tasks: Lead AI projects and engage with clients in the Financial Services sector.
- Company: Join EY, a global leader in professional services and innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for international travel.
- Other info: Dynamic role with opportunities for career advancement and skill development.
- Why this job: Shape the future of AI while working on impactful projects.
- Qualifications: Expertise in software engineering and applied AI; PhD preferred but not required.
The predicted salary is between 70000 - 90000 £ per year.
EY is looking for a Senior Applied AI Engineer (Manager) in Greater London to lead technical delivery across diverse client portfolios, primarily in Financial Services. Your role involves engaging stakeholders, ensuring production-readiness, and architecting enterprise-grade AI services. This hybrid position requires deep expertise in software engineering, applied AI, and cloud architectures. Travel across the UK and occasional international travel will be required. A PhD in a relevant field is desirable but not mandatory.
Senior Applied AI Engineer & Enterprise AI Leader employer: EY
Contact Detail:
EY Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Applied AI Engineer & Enterprise AI Leader
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and financial services sectors on LinkedIn. Join relevant groups and engage in discussions to get your name out there.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your projects in applied AI and cloud architectures. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to AI and stakeholder engagement to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you, so keep an eye out and submit your application directly.
We think you need these skills to ace Senior Applied AI Engineer & Enterprise AI Leader
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in applied AI and software engineering. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how you can contribute to our team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Technical Skills: Since this role involves leading technical delivery, make sure to detail your expertise in cloud architectures and any relevant programming languages. We’re looking for someone who can hit the ground running!
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 Stuff
Make sure you brush up on the latest trends and technologies in applied AI, especially those relevant to financial services. Be ready to discuss your previous projects and how they align with the role's requirements.
✨Showcase Your Leadership Skills
As a Senior Applied AI Engineer, you'll need to demonstrate your ability to lead teams and engage stakeholders. Prepare examples of how you've successfully managed projects or led teams in the past, focusing on your communication and collaboration skills.
✨Understand the Business Context
It's crucial to understand how AI can drive value in financial services. Research EY's clients and their challenges, and think about how your expertise can help solve their problems. This will show that you're not just technically savvy but also business-minded.
✨Be Ready for Technical Questions
Expect in-depth technical questions about software engineering, cloud architectures, and AI service delivery. Brush up on your coding skills and be prepared to solve problems on the spot. Practising with mock interviews can really help here!