Lead Software Engineer - AI Developer/Architect

We are building out the Wholesale Credit Risk Core Platform which will be the software platform for all of Wholesale Credit Risk Technology, providing standardized best-in-class deployment strategies, common services and components, controls, testing practices, alerting, and monitoring.

As a Lead Software Engineer at JPMorgan Chase within the Wholesale Credit Risk Core Architecture/Engineering team, you will join a hands-on group focused on designing, coding, and architecting scalable solutions in a hybrid cloud environment. This role is ideal for a technical leader who excels in design, coding, and architecture - not just theory. You will work on transactional and analytics workloads in a hybrid cloud environment, collaborating closely with development leads and senior stakeholders.

Job Responsibilities:

• Architect, design, and implement scalable hybrid cloud solutions for transactional, analytics and RAD workloads.
• Write and review high-quality code, ensuring adherence to best practices and standards.
• Collaborate with development leads and cross-functional teams to deliver robust solutions.
• Conduct code reviews and provide constructive feedback to drive technical excellence.
• Present technical concepts and project updates to senior stakeholders.
• Prioritize tasks effectively, balancing urgent needs with strategic progress.
• Mentor and support team members, fostering a collaborative and helpful environment.

Required qualifications skills and capabilities:

• Proven experience in hybrid cloud architecture (AWS, Azure, GCP, or private cloud).
• Strong coding skills in languages such as Java, Python, React or similar.
• Deep understanding of distributed systems, data pipelines, and analytics platforms.
• Experience with CI/CD, DevOps, and modern software engineering practices.
• Excellent interpersonal and presentation skills.
• Demonstrated ability to work with development leads and senior stakeholders.
• Extensive hands-on experience in AI/Gen AI architecture, design, development, testing, deployment and SDLC.
• Advanced competency in AI/Gen AI , Micro Services, Spring Boot , Kubernetes , Cloud Computing , Oracle , Kafka, AWS, Databricks, Data Mesh, Graph QL

Attitude & Behavioral Traits:

• Action-oriented, decisive, drives results systematically.
• Skilled at assessing risk and making decisions with a holistic, big-picture perspective.
• Demonstrates a can-do attitude and leads by example.
• Detail-oriented, able to distinguish between important and urgent tasks.
• Prioritizes helpfulness, mentorship, and team development.
• Acts with integrity.