Sr. Lead Software Engineer
About The Position
As a Senior Lead Software Engineer within JPMorganChase's Consumer & Community Banking Digital Technology team, you will serve as a subject matter expert and technical leader, driving the design and delivery of secure, scalable, AI-enabled products for next-generation customer experiences. The role combines engineering excellence with responsible AI adoption and influences how teams build, validate, and scale intelligent solutions across the organization. You will architect and govern agentic AI-enabled engineering workflows using enterprise-authorized tools, establish standards and guardrails for safe use, and help define enterprise-scale target-state AI-enabled architecture. You will build production software and reusable frameworks, advise cross-functional teams, and work with product and engineering leaders to align roadmaps and architectures with business and customer outcomes.
Requirements
- Formal training or certification in software engineering concepts and 5+ years of applied experience.
- Hands-on practical experience delivering system design, application development, testing, and operational stability.
- Expert proficiency in one or more programming languages.
- Demonstrated experience designing and leading adoption of agentic AI-enabled development practices using enterprise-authorized tools, including standards for human-in-the-loop validation, auditability and traceability of changes, and secure handling of sensitive data.
- Strong understanding of responsible AI use and control expectations in engineering workflows, including security and resiliency implications, data sensitivity, and risk-based governance.
- Ability to influence senior technical leaders on safe scaling patterns and reuse of AI-enabled engineering practices.
- Experience applying expertise and emerging methods to determine solutions for complex technology problems across one or more technical disciplines.
- Practical cloud-native experience.
- Understanding of business context and how technology decisions drive customer and organizational outcomes.
Nice To Haves
- Degree in Computer Science, Computer Engineering, Mathematics, or a related technical field.
- Advanced knowledge of software architecture, applications, and technical processes, with considerable depth in one or more disciplines such as cloud, artificial intelligence, machine learning, or mobile.
- Experience working within large-scale, highly regulated enterprise environments with complex cross-functional stakeholder landscapes.
- Familiarity with modern DevSecOps practices and toolchains supporting continuous delivery and operational resilience.
- Experience mentoring or coaching engineers and contributing to a team's technical growth.
Responsibilities
- Architect and govern agentic AI-enabled engineering workflows using enterprise-authorized tools to improve delivery speed, code quality, and operational outcomes, including pull request review assistance, test generation and maintenance, release readiness checks, incident triage, and root-cause analysis.
- Define guardrails for validation, security, resiliency, and reuse of AI-assisted engineering practices, including human-in-the-loop oversight, auditability, and secure handling of sensitive data.
- Design and build complex, scalable coding frameworks using software design patterns for use across teams and functions.
- Develop secure, high-quality production code and conduct rigorous code reviews and debugging across the engineering organization.
- Help define enterprise-scale, target-state AI-enabled architecture for Consumer & Community Banking solutions.
- Collaborate with product and engineering leaders to define roadmaps and solution architectures aligned with target-state goals.
- Apply SDLC toolchain knowledge, including enterprise-authorized AI-assisted development and automation, to improve the value realized through automation at scale.
- Advise cross-functional teams on technological matters and serve as a subject matter expert for AI-enabled engineering practices.
- Drive adoption of enterprise-authorized AI-assisted engineering practices, including code review and refactoring, test strategy acceleration, and incident and root-cause analysis support.
Benefits
- Competitive total rewards package, including base salary and, for eligible roles, commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
- Comprehensive health care coverage.
- On-site health and wellness centers.
- Retirement savings plan.
- Backup childcare.
- Tuition reimbursement.
- Mental health support.
- Financial coaching.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
