Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead AI solutions development and manage engineering teams in a dynamic environment.
- Company: Major global financial services firm with a focus on innovation.
- Benefits: Hybrid working model, competitive benefits, and a progressive work culture.
- Why this job: Shape the future of AI in finance and drive impactful projects.
- Qualifications: Extensive experience in AI/ML, Python programming, and team leadership.
- Other info: Join a forward-thinking team with opportunities for growth and collaboration.
The predicted salary is between 48000 - 72000 £ per year.
A major global financial services firm seeks a senior engineer to lead AI solutions development within its Innovation Labs. This role involves managing teams of engineers, collaborating with both technical and business stakeholders, and ensuring project success across various AI initiatives.
Candidates should have significant software industry experience, particularly in AI/ML and Python programming. The position offers a hybrid working model and competitive benefits as part of a progressive work environment.
Senior AI Architect & Engineering Lead in London employer: Citi
Contact Detail:
Citi Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Architect & Engineering Lead in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and engineering fields. Attend industry meetups or webinars to meet potential employers and get your name out there.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your AI/ML projects and Python programming expertise. This will give you an edge when discussing your experience with hiring managers.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to AI solutions. We recommend practising coding challenges and discussing your past projects to demonstrate your leadership capabilities.
✨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 Senior AI Architect & Engineering Lead in London
Some tips for your application 🫡
Showcase Your Experience: Make sure to highlight your significant software industry experience, especially in AI/ML and Python programming. We want to see how your background aligns with the role of Senior AI Architect & Engineering Lead.
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific skills and experiences mentioned in the job description. We love seeing candidates who take the time to connect their expertise with our needs.
Highlight Team Leadership Skills: Since this role involves managing teams, be sure to emphasise your leadership experience. Share examples of how you've successfully led projects or collaborated with both technical and business stakeholders in the past.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Citi
✨Know Your AI Inside Out
Make sure you brush up on the latest trends and technologies in AI and machine learning. Be prepared to discuss your previous projects in detail, especially those involving Python programming. This will show that you’re not just familiar with the concepts but have hands-on experience.
✨Showcase Your Leadership Skills
As a Senior AI Architect & Engineering Lead, you'll need to demonstrate your ability to manage teams effectively. Prepare examples of how you've led projects or teams in the past, focusing on your collaboration with both technical and business stakeholders. Highlight any successful outcomes from your leadership.
✨Understand the Business Side
Since this role involves working closely with business stakeholders, it’s crucial to understand how AI solutions can drive business value. Research the company’s financial services and think about how your AI initiatives could enhance their operations or customer experience.
✨Prepare for Technical Questions
Expect to face some technical questions during the interview. Brush up on your Python skills and be ready to solve problems on the spot. Practising coding challenges or discussing algorithms relevant to AI can help you feel more confident when tackling these questions.
