Senior Lead Software Engineer - AI-Driven Forward Deployment

JP Morgan Chase; New York (NY); On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

Health care coverage

On-site wellness centers

Retirement savings plan

Tuition reimbursement

Mental health support

Job summary

JPMorganChase is seeking a Senior Lead Software Engineer to drive the design and delivery of trusted, scalable technology within Payments and Global Banking, Commercial & Industrial Lending. You will lead agile teams, shaping product design, governance, and engineering practices across multiple tech domains.

The role emphasizes hands-on development, AI-assisted tooling adoption, security, and operational excellence, with opportunities to influence enterprise-wide SDLC standards and innovation.

Qualifications

• Formal training or certification in software engineering with 5+ years of applied experience.
• Experience delivering system design, application development, testing, and operability.
• Experience leading use of enterprise AI-assisted development tools and setting team expectations.
• Knowledge of secure handling of data and responsible AI practices.

Responsibilities

• Provide technical guidance to business teams, contractors, and vendors.
• Develop secure, high-quality production code and review others' code.
• Drive adoption of AI-assisted engineering practices with measurable standards.
• Improve automation value within the SDLC/TLM toolchain.
• Apply SDLC toolchain knowledge to improve automation and operations.
• Contribute as a function-wide SME and advocate firmwide frameworks and practices.

Skills

Software engineering concepts

5+ years experience

Programming languages

AI-assisted tools

Responsible AI practices

Cloud native experience

Tools

AI-assisted development tools

Job description

JPMorganChase is seeking a Senior Lead Software Engineer to drive the design and delivery of trusted, scalable technology within Payments and Global Banking, Commercial & Industrial Lending. You will lead agile teams, shaping product design, governance, and engineering practices across multiple tech domains.

The role emphasizes hands-on development, AI-assisted tooling adoption, security, and operational excellence, with opportunities to influence enterprise-wide SDLC standards and innovation.