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- Tasks: Design and deploy AI agents to enhance operations using multi-agent systems.
- Company: Leading financial services firm in Greater London with a focus on responsible AI.
- Benefits: Competitive benefits and opportunities for impactful professional growth.
- Why this job: Join a collaborative team and make a real difference in AI solutions.
- Qualifications: Advanced degree and proficiency in ML frameworks like PyTorch required.
- Other info: Dynamic environment with a strong emphasis on responsible AI practices.
The predicted salary is between 48000 - 72000 £ per year.
A leading financial services firm in Greater London is seeking an AI Engineer to join their Agentic AI Solutions team. You will collaborate across teams to design and deploy AI agents that enhance operations through multi-agent systems.
Requires an advanced degree and proficiency in ML frameworks such as PyTorch, alongside experience with agent frameworks.
This role promises competitive benefits and opportunities for impactful professional growth in a collaborative environment focused on responsible AI.
Autonomous AI Solutions Lead Engineer employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Autonomous AI Solutions Lead Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the financial services and AI sectors. Use LinkedIn to connect with current employees at the firm you're eyeing. A friendly chat can sometimes lead to insider info or even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your projects, especially those involving multi-agent systems and ML frameworks like PyTorch. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Ace the interview by practising common AI engineering questions. Brush up on your knowledge of agent frameworks and be ready to discuss how you've applied them in real-world scenarios. Confidence is key!
✨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 take the initiative to engage directly with us.
We think you need these skills to ace Autonomous AI Solutions Lead Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with ML frameworks like PyTorch and any relevant agent frameworks. We want to see how your skills align with the role, so don’t be shy about showcasing your expertise!
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 Agentic AI Solutions team. Keep it engaging and personal – we love to see your personality come through.
Showcase Collaborative Experience: Since this role involves working across teams, highlight any past experiences where you’ve successfully collaborated on projects. We’re all about teamwork here at StudySmarter, so let us know how you thrive in a collaborative environment!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your AI Frameworks
Make sure you brush up on your knowledge of ML frameworks, especially PyTorch. Be ready to discuss specific projects where you've used these tools, as well as any challenges you faced and how you overcame them.
✨Showcase Your Collaboration Skills
Since this role involves working across teams, prepare examples that highlight your ability to collaborate effectively. Think about times when you worked with others to design or deploy AI solutions and how you contributed to the team's success.
✨Understand Multi-Agent Systems
Familiarise yourself with multi-agent systems and be prepared to discuss their applications in financial services. Consider how these systems can enhance operations and be ready to share your insights on responsible AI practices.
✨Prepare Thoughtful Questions
Interviews are a two-way street! Prepare insightful questions about the company's approach to AI and how they ensure responsible use of technology. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
