Lead Software Engineer - Java, AI, AWS

JPMorganChase; Glasgow; On-site; GBP 70,000 - 90,000; Full time

Job summary

JPMorganChase is seeking a Lead Software Engineer to join their Commercial & Investment Bank team in Glasgow, Scotland. This role involves designing and delivering advanced AI and data engineering solutions with a focus on stability and security. You will collaborate with cross-functional teams to drive innovation and ensure systems remain reliable and cutting-edge.

The ideal candidate will have deep expertise in AI, Java, and AWS, coupled with a strong understanding of data engineering practices. This position is critical for developing autonomous systems and integrating AI technologies to meet business objectives.

Qualifications

• Deep expertise in AI and data engineering.
• Proficiency in Java and AWS services.
• Experience with infrastructure-as-code tools like Terraform.

Responsibilities

• Design and implement AI and data engineering solutions.
• Write secure, high-quality code in Java.
• Utilize AWS services for data and AI solutions.

Skills

AI and data engineering

Java

AWS services

Terraform

Github Copilot

Education

Formal training in software engineering

Tools

Big data frameworks

Data orchestration tools

Job description

Job Description

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.

Job Summary

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.

Equal Opportunity Employer

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. 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. Visit our FAQs for more information about requesting an accommodation.