At a Glance
- Tasks: Lead the development of AI and data engineering solutions in a collaborative environment.
- Company: Join JPMorganChase, a leader in financial technology innovation.
- Benefits: Competitive salary, diverse culture, and opportunities for career growth.
- Other info: Embrace diversity and inclusion in a dynamic workplace.
- Why this job: Shape impactful products with cutting-edge tech and talented colleagues.
- Qualifications: Experience in software development, AI, Java, and AWS required.
The predicted salary is between 80000 - 100000 £ per year.
Are you passionate about building technology that transforms the way businesses operate? Join us and lead the development of advanced AI and data engineering solutions within a collaborative, agile environment. At JPMorganChase, you'll have the opportunity to shape impactful products, work with cutting-edge technologies, and grow your career alongside talented colleagues. We value your expertise and encourage you to bring your ideas to life as we redefine what's possible in financial technology.
As a Lead Software Engineer in the Commercial & Investment Bank, you will design and deliver trusted, market‑leading technology products in a secure, stable, and scalable way. You will play a key role in developing AI and data engineering solutions, integrating autonomous agents, and supporting critical business objectives. You'll collaborate with cross‑functional teams, drive innovation, and ensure our systems remain reliable and future‑ready.
Job Responsibilities
- Design, develop, and implement AI and data engineering solutions, including data pipelines, machine learning models, analytics applications, and Agentic AI systems.
- Write secure, high‑quality code in Java, applying best practices for AI and data engineering.
- Develop and maintain scalable data architectures and integrate AI models and autonomous agents into production systems.
- Utilize AWS services to build and deploy data and AI solutions.
- Troubleshoot and resolve technical issues related to data processing, model deployment, agent orchestration, and application stability.
- Learn and apply system processes, methodologies, and skills for secure, stable code and AI/data systems.
- Support production systems, including monitoring, incident response, and continuous improvement for AI and data applications.
- Design, develop, and integrate Agentic AI solutions into existing and new products.
- Collaborate with cross‑functional teams to identify opportunities for Agentic AI applications.
- Implement and monitor autonomous AI agents, ensuring reliability, safety, and alignment with organizational goals.
- Stay current with advancements in Agentic AI, reinforcement learning, and related frameworks.
Required Qualifications, Capabilities, and Skills
- Formal training or certification in software engineering concepts and recent applied experience in software development.
- Deep expertise in AI and data engineering, AWS services, Java, and databases.
- Proficiency in Java.
- Experience with infrastructure‑as‑code tools like Terraform and familiarity with GitHub Copilot.
- Hands‑on experience in application development, testing, and operational stability for AI and data‑driven solutions.
- Experience developing, debugging, and maintaining code in a large corporate environment.
- Ability to code in one or more languages and build data pipelines, machine learning models, analytics applications, or autonomous agents.
- Experience across the Software Development Life Cycle, including model training, deployment, and monitoring.
- Exposure to agile methodologies, CI/CD, application resiliency, and security best practices.
- Strong knowledge of software applications and technical processes within AI, machine learning, data engineering, and cloud disciplines.
- Hands‑on experience or strong understanding of Agentic AI concepts.
- Experience building or integrating AI agents for data processing, workflow automation, or decision support.
Preferred Qualifications, Capabilities, and Skills
- Familiarity with modern front‑end technologies and integrating AI/data solutions with user interfaces.
- Exposure to advanced cloud technologies and managed AI/data services.
- Experience with big data frameworks and data orchestration tools.
- Familiarity with frameworks and libraries for Agentic AI.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal‑opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
Lead Software Engineer - Java, AI, AWS in Glasgow employer: J.P. Morgan
At JPMorgan Chase, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Lead Software Engineer, you'll not only have the chance to work with cutting-edge technologies in AI and data engineering but also enjoy ample opportunities for professional growth and development within a diverse and inclusive environment. Our commitment to employee well-being and career advancement makes us a standout choice for those seeking meaningful and rewarding employment in the financial technology sector.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Software Engineer - Java, AI, AWS in Glasgow
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI, Java, and AWS. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and coding challenges. Practice with friends or use platforms that simulate real interview scenarios to boost your confidence.
✨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 Lead Software Engineer - Java, AI, AWS in Glasgow
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your expertise in Java, AI, and AWS, and don’t forget to mention any relevant projects you've worked on!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background aligns with our mission at StudySmarter. Keep it engaging and personal.
Showcase Your Projects:If you’ve worked on any cool projects related to AI or data engineering, make sure to include them in your application. We love seeing real-world applications of your skills, so don’t hold back!
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’s super easy!
How to prepare for a job interview at J.P. Morgan
✨Know Your Tech Inside Out
Make sure you brush up on your Java skills and be ready to discuss your experience with AI and data engineering. Be prepared to explain how you've used AWS services in your previous projects, as this will show your practical knowledge and expertise.
✨Showcase Your Problem-Solving Skills
During the interview, expect to tackle some technical challenges or case studies. Practice articulating your thought process when troubleshooting issues related to data processing or model deployment. This will demonstrate your analytical skills and ability to think on your feet.
✨Highlight Collaboration Experience
Since the role involves working with cross-functional teams, share examples of how you've successfully collaborated with others in past projects. Discuss any agile methodologies you've used and how they contributed to the success of your team’s objectives.
✨Stay Current with Industry Trends
Familiarise yourself with the latest advancements in Agentic AI and machine learning frameworks. Being able to discuss recent developments or trends in the industry will show your passion for the field and your commitment to continuous learning.
