Bulge Bracket Investment Banks

AI Innovation Infrastructure Lead Software Engineer

at J.P. Morgan

Tech LeadNo visa sponsorshipData Science/AI/ML

Posted 25 days ago

No clicks

Compensation: Not specified
City: Wilmington
Country: United States

Lead software engineer role within JPMorgan Chase's Consumer and Community Banking Machine Learning Intelligence Operations. Responsible for designing, building, and operating secure, scalable AI/ML infrastructure and production-quality software, providing technical guidance across teams and vendors. Requires hands-on development (Java/Python), AWS cloud experience, and influence on product design, tooling, and engineering practices. Preferred experience includes GenAI, AI agents, ML engineering, Terraform, and AWS security/cost optimization.

Location: Wilmington, DE, United States

We’re looking for a tech leader ready to take their career to new heights. Join the ranks of top talent at one of the world’s most influential companies.

As a Lead Software Engineer at JPMorgan Chase within the Consumer and Community Banking Machine Learning Intelligence Operations, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Job responsibilities

Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors

Develops secure and high-quality production code, and reviews and debugs code written by others

Drives decisions that influence the product design, application functionality, and technical operations and processes

Serves as a function-wide subject matter expert in one or more areas of focus

Actively contributes to the engineering community as an advocate of firm-wide frameworks, tools, and practices of the Software Development Life Cycle

Influences peers and project decision-makers to consider the use and application of leading-edge technologies

Adds to the team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experience

Hands-on practical experience delivering system design, application development, testing, and operational stability

Advanced in one or more programming language(s) (Java, Python)

Practical AWS cloud native experience

Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., AI/ML, UI development, mobile development etc.)

Ability to tackle design and functionality problems independently with little to no oversight

Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field

Preferred qualifications, capabilities, and skills

Hands on experience with GenAI and AI Agents

Experience with ML Engineering

Extensive experience with Amazon Web Services (AWS), including deploying, managing, and scaling applications using services such as EC2, S3, Lambda, and RDS

Extensive Experience with Terraform for Cloud Deployment is a big plus

Proficiency in AWS security best practices and cost optimization strategies

Carry out critical tech solutions across multiple technical areas as an integral part of an agile team

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Bulge Bracket Investment Banks