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Sr Lead Software Engineer - AI Engineer

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Onsite

Sr Lead Software Engineer - AI Engineer

JPMC

Sr Lead Software Engineer - AI Engineer

Skills

Machine LearningAI

1 month ago

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Important information


Contract type:

Permanent

Location:

Columbus, OH, USA

Work mode:

Onsite

Published on:

15 September 2026

What they need


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

  • 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 function’s 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.)

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