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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: Competitive salary, hybrid work model, 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 across diverse industries.
- Qualifications: Expertise in software engineering and applied AI; PhD preferred but not essential.
The predicted salary is between 80000 - 100000 £ 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 in London 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 in London
✨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 software engineering. This will give potential employers a taste 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, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Senior Applied AI Engineer & Enterprise AI Leader in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Applied AI Engineer role. Highlight your expertise in software engineering, applied AI, and cloud architectures to catch our eye!
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 your background makes you the perfect fit for leading technical delivery in Financial Services.
Showcase Your Projects: Don’t forget to include any relevant projects or case studies in your application. We love seeing real-world examples of your work, especially those that demonstrate your ability to engage stakeholders and ensure production-readiness.
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 without any hiccups!
How to prepare for a job interview at EY
✨Know Your AI Inside Out
Make sure you brush up on the latest trends and technologies in applied AI, especially those relevant to financial services. Be prepared 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
Familiarise yourself with EY's business model and how AI can drive value in financial services. This will help you articulate how your technical expertise can contribute to their goals and enhance client portfolios.
✨Prepare for Technical Questions
Expect in-depth technical questions about software engineering, cloud architectures, and production-readiness of AI services. Brush up on your coding skills and be ready to solve problems on the spot, as this will showcase your practical knowledge.