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, inclusive culture, and opportunities for career growth.
- Other info: Dynamic team focused on innovation and real-world impact.
- Why this job: Shape impactful products with cutting-edge tech and talented colleagues.
- Qualifications: Expertise in AI, data engineering, 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.
- 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.
- 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.
At JPMorganChase, you’ll be part of a diverse, inclusive team that values your growth and empowers you to make a real impact. Join us to shape the future of financial technology and advance your career in a supportive, innovative environment.
Lead Software Engineer - Java, AI, AWS in Glasgow employer: Jpmorgan Chase & Co.
At JPMorganChase, we pride ourselves on being an exceptional employer that fosters a culture of collaboration and innovation. As a Lead Software Engineer, you will not only work with cutting-edge technologies in AI and data engineering but also have access to extensive career growth opportunities within a diverse and inclusive team. Our commitment to employee development and the chance to shape impactful financial technology products make this an exciting place to advance your career.
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 with professionals on platforms like LinkedIn. 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 related to AI and data engineering. This gives potential employers a tangible sense of what you can do and how you think.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice coding challenges and be ready to discuss your past experiences in detail. Remember, it’s not just about what you know, but how you communicate it!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, you’ll be part of a community that values innovation and collaboration, just like you!
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 showcase any relevant projects or achievements.
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 JPMorganChase. Keep it engaging and personal!
Showcase Your Technical Skills:When detailing your experience, focus on your technical skills related to AI and data engineering. Mention specific tools and technologies you've used, like Terraform or machine learning frameworks, to demonstrate your hands-on experience.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of being noticed. It’s straightforward and ensures your application goes straight to the right team!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Tech Inside Out
Make sure you’re well-versed in Java, AI, and AWS. Brush up on your coding skills and be ready to discuss your experience with data engineering solutions. Prepare to share specific examples of projects where you've implemented these technologies.
✨Showcase Your Problem-Solving Skills
Be prepared to tackle technical challenges during the interview. Think of scenarios where you’ve resolved issues related to data processing or model deployment. Highlight your troubleshooting process and how you ensure application stability.
✨Emphasise Collaboration
Since the role involves working with cross-functional teams, be ready to discuss your experience in collaborative environments. Share examples of how you’ve driven innovation and worked alongside others to achieve common goals.
✨Stay Current with Trends
Demonstrate your knowledge of the latest advancements in Agentic AI and related frameworks. Discuss any recent developments you’ve followed and how they could impact the financial technology landscape. This shows your passion for the field and commitment to continuous learning.
