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- Tasks: Lead AI initiatives and develop innovative NLQ solutions in a dynamic team.
- Company: Join JPMorgan Chase, a leading financial institution with a focus on technology.
- Benefits: Competitive salary, mentorship opportunities, and a chance to shape the future of finance.
- Other info: Exciting career growth potential in a fast-paced environment.
- Why this job: Make a real impact in AI while collaborating with top talent in the industry.
- Qualifications: Strong background in data science, Python, AWS, and experience in deploying AI solutions.
The predicted salary is between 90000 - 120000 £ per year.
JPMorgan Chase is seeking a Lead Software Engineer for AI in Risk Technology based in Greater London. This Vice President role involves driving AI initiatives, developing NLQ solutions, and mentoring engineers while collaborating with data science and product teams.
The candidate should possess a solid background in data science, Python, and AWS, with experience in deploying AI solutions. This position offers a critical opportunity to influence the technical landscape within a leading financial institution.
VP AI Engineering: Generative & NLQ Systems Lead employer: JPMorganChase
Contact Detail:
JPMorganChase Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land VP AI Engineering: Generative & NLQ Systems Lead
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that VP role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving NLQ solutions. We want to see your hands-on experience with Python and AWS, so make it shine!
✨Tip Number 3
Prepare for the interview like it’s the final boss level! Research JPMorgan Chase’s recent AI initiatives and think about how your experience aligns with their goals. We’re talking about real examples of how you’ve driven AI projects before.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. We’re here to support you every step of the way, so let’s get you that dream job!
We think you need these skills to ace VP AI Engineering: Generative & NLQ Systems Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the VP AI Engineering role. Highlight your background in data science, Python, and AWS, as these are key for us at JPMorgan Chase.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and how your experience can drive our initiatives. Be specific about your past projects and how they relate to the role.
Showcase Your Leadership Skills: Since this is a VP position, we want to see evidence of your mentoring and leadership abilities. Share examples of how you've guided teams or influenced projects in your previous roles.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at JPMorganChase
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI initiatives, especially in the context of risk technology. Be ready to discuss your experience with generative systems and natural language querying (NLQ) solutions. This will show that you’re not just familiar with the concepts but can also apply them effectively.
✨Showcase Your Python Skills
Since Python is a key requirement for this role, prepare to demonstrate your coding skills. You might be asked to solve a problem or explain how you've used Python in past projects. Practising common algorithms or data manipulation tasks can really help you shine.
✨Familiarise Yourself with AWS
As AWS experience is crucial, make sure you know the ins and outs of deploying AI solutions on this platform. Be prepared to discuss specific services you’ve used, such as SageMaker or Lambda, and how they contributed to your projects. This will show you’re ready to hit the ground running.
✨Mentorship Matters
This role involves mentoring engineers, so think about your leadership style and experiences. Prepare examples of how you've guided others in the past, whether through formal mentorship or collaborative projects. Highlighting your ability to foster growth in others will resonate well with the interviewers.