at J.P. Morgan
Bulge Bracket Investment BanksPosted 15 days ago
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**Sr Lead Software Engineer - AI Engineer** Leads agile teams, enhancing and delivering AI-driven banking products. **Key Responsibilities** include creating scalable code frameworks, architecting AI-enabled workflows, and advising cross-functional teams. **Required** is 5+ years' experience in software engineering, expertise in a programming language, and practical cloud native experience. **Preferred** is experience in Computer Science-related fields and deep knowledge in AI or machine learning. Influence leaders, drive business impact, and solve complex tech problems across teams.
- Compensation
- Not specified
- City
- Not specified
- Country
- United States
Currency: Not specified
Full Job Description
Location: Columbus, OH, United States
Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.
As a Senior Lead Software Engineer at JPMorganChase within the Consumer and Community Banking - Digital Technology team, 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
As a Senior Lead Software Engineer at JPMorganChase within the Consumer and Community Banking - Digital Technology team, 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
- Creates complex and scalable coding frameworks using appropriate software design frameworks
- Develops secure and high-quality production code, and reviews and debugs code written by others
- Architects and governs agentic AI-enabled engineering workflows (using enterprise-authorized tools within the work environment) to improve delivery speed, code quality, and operational outcomes at scale (e.g., AI-driven PR review assistance, test generation/maintenance, release readiness checks, incident triage and root-cause acceleration), while defining guardrails for validation, security, resiliency, and reuse across teams
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
- Advises cross-functional teams on technological matters within your domain of expertise
- Serves as the functions go-to subject matter expert
- Contributes to the development of technical methods in specialized fields in line with the latest product development methodologies
- Creates durable, reusable software frameworks that are leveraged across teams and functions
- Influences leaders and senior stakeholders across business, product, and technology teams
- Help define enterprise-scale, target state, AI-enabled architecture for solutions in the Consumer & Community Banking division, to define best-in-class and next generation customer experiences
- Collaborate with product and engineering to define roadmaps and solution architectures towards target state
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
- Expert in one or more programming language(s)
- Demonstrated experience designing and leading adoption of agentic AI-enabled development practices (using enterprise-authorized tools within the work environment) across teams, including setting standards for human-in-the-loop validation, auditability/traceability of changes, and secure handling of sensitive data
- Strong understanding of responsible AI use and control expectations in engineering workflows, including security/resiliency implications, data sensitivity, and risk-based governance; ability to influence senior technical leaders on safe scaling patterns and reuse
- Experience applying expertise and new methods to determine solutions for complex technology problems in one or more technical disciplines
- Understanding of the business
- Practical cloud native experience
Preferred qualifications, capabilities, and skills
- Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field
- Advanced knowledge of software architecture, applications, and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
