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.
Why Join Us?
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.
Skills Required
- Formal training or certification in software engineering concepts and recent applied software development experience.
- 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.
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental health coverage are comprehensive, with on-site clinics, preventive care, and specialized supports such as maternity nurse guidance and fertility treatments. Wellness activities can help offset copays and out-of-pocket costs, reinforcing the perceived strength of health benefits.
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Retirement Support — A 401(k) with dollar-for-dollar matching and additional automatic pay credits reflect strong employer-backed retirement savings. An employee stock purchase plan and related financial programs further bolster long-term financial support.
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Leave & Time Off Breadth — Paid time off, sick time, holidays, and generous parental leave are provided alongside family medical leave and adoption/fertility assistance. Additional programs like caregiver support and volunteer time off expand the breadth of time-away options.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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