Lead Software Engineer - Java, AI, AWS

JPMorgan Chase & Co.; Glasgow; On-site; GBP 90,000 - 130,000; Full time

Job summary

JPMorgan Chase & Co. in the United Kingdom seeks a Lead Software Engineer to design and deliver AI and data engineering solutions at scale, with a focus on secure, reliable production systems.

You will drive agentic AI initiatives, build data pipelines, and collaborate across teams to align technology with business objectives. You'll write high‑quality Java code, apply CI/CD practices, and leverage AWS to deploy and manage analytics applications.

Qualifications

• Formal training or certification in software engineering concepts.
• 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.

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.

Skills

Java

AI

Data engineering

AWS

Terraform

CI/CD

Agentic AI

Data pipelines

Security best practices

Debugging

Tools

Github Copilot

Terraform

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.