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- Tasks: Design and develop cutting-edge AI solutions with a talented team.
- Company: Join JPMorganChase's innovative Data Science team.
- Benefits: Competitive salary, career growth, and a culture of inclusion.
- Why this job: Make a real impact in the future of technology on a global scale.
- Qualifications: Advanced software architecture knowledge and programming skills required.
- Other info: Dynamic environment with a focus on diversity and continuous learning.
The predicted salary is between 36000 - 60000 £ per year.
Are you ready to make a real impact with cutting-edge AI solutions? As part of our Data Science team, you’ll work alongside talented engineers and scientists to create market-leading products. You’ll have the opportunity to grow your career, expand your skills, and help drive the future of technology at a global scale. We value creativity, collaboration, and a culture of inclusion. Your expertise will help us deliver secure, scalable, and trusted AI solutions.
As a Senior Lead Software Engineer at JPMorganChase within the Data Science team under Global Technology CDAO, you will design, develop, and architect AI products that support our clients and business growth. You will collaborate with software and data engineers, as well as research scientists, to deliver innovative solutions. Your role will include providing technical leadership, translating business needs into technical specifications, and recommending optimal technologies. You will help foster a culture of diversity, equity, and inclusion while driving technical excellence.
Job Responsibilities:- Collaborate with data scientists and machine learning engineers to deliver products to production
- Execute creative software solutions, design, development, and technical troubleshooting
- Produce architecture and design artifacts for complex applications, including data pipelines for analytics, model evaluation, and training
- Ensure design constraints are met by software code development
- Identify hidden problems and patterns in data to drive improvements in coding hygiene and system architecture
- Provide feedback and propose improvements to architecture governance practices
- Guide evaluation of current technology and lead evaluation of new technologies using existing standards and frameworks
- Drive decisions that influence product design, application functionality, and technical operations
- Add to team culture of diversity, opportunity, inclusion, and respect
- Advanced knowledge of software architecture, applications, and technical processes in one or more technical disciplines (cloud, artificial intelligence, machine learning)
- Exposure to cloud technologies (AWS or GCP) through hands-on experience or certification
- Proven programming and scripting skills with multiple modern languages including Python, Golang, TypeScript, and similar
- Hands-on experience delivering system design, application development, testing, and operational stability
- Experience with GPT, LLM, RAG, Gen AI, and Prompt Engineering technologies
- Experience working in agile development teams
- Strong communication and collaboration skills
- Ability to evaluate and recommend new tools and technologies
- Familiarity with compliance and validation in model development
- Commitment to continuous learning and professional growth
Senior Lead Software Engineer - AI Solutions Software Engineer in London employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Lead Software Engineer - AI Solutions Software Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work at JPMorganChase or similar companies. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, coding samples, and any relevant work. This is your chance to demonstrate your expertise and creativity beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to software architecture and AI solutions, and be ready to discuss how you can contribute to a culture of inclusion.
✨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 and engaged with our company.
We think you need these skills to ace Senior Lead Software Engineer - AI Solutions Software Engineer in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your advanced knowledge in software architecture and AI solutions. We want to see how your experience aligns with the role, so don’t hold back on showcasing your programming skills and any hands-on experience you have with cloud technologies.
Tailor Your Application: Take a moment to customise your application for this specific role. Use keywords from the job description to demonstrate that you understand what we’re looking for. This shows us you’re genuinely interested and have done your homework!
Be Creative and Collaborative: Since we value creativity and collaboration, share examples of how you've worked with teams in the past. Whether it’s through agile development or cross-functional projects, let us know how you’ve contributed to a positive team culture.
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 gives you a chance to explore more about our company culture and values!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your AI Stuff
Make sure you brush up on the latest trends and technologies in AI, especially those mentioned in the job description like GPT and Gen AI. Be ready to discuss how you've applied these technologies in your past projects.
✨Showcase Your Collaboration Skills
Since this role involves working closely with data scientists and engineers, prepare examples of how you've successfully collaborated in previous roles. Highlight any experiences where you contributed to a diverse team environment.
✨Prepare for Technical Questions
Expect to dive deep into software architecture and coding practices. Review your knowledge of programming languages like Python and Golang, and be ready to solve problems on the spot or discuss your thought process in tackling complex issues.
✨Demonstrate Continuous Learning
This role values growth and learning, so be prepared to talk about how you stay updated with new technologies and methodologies. Share any recent courses, certifications, or personal projects that showcase your commitment to professional development.
