Lead Software Engineer - AI Developer/Architect

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

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.