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AI / ML · Software Engineering

Senior Lead Software Engineer - AI Engineer

JPMorgan Chase

Senior · 5+ yrsOn-site · Plano, TX, United StatesListed 7d ago
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HQ

🇺🇸 New York City, NY, United States

Open roles

2024

How to stand out for Senior Lead Software Engineer - AI Engineer at JPMorgan Chase

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Experience Senior · 6+ yrs (5+ years)

About the role

structured by ORI

Drive significant business impact and tackle a diverse array of challenges that span multiple technologies and applications 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…

What you will do

  • 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, inc
  • 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

What they are looking for

  • 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
  • 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

Nice to have

  • 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.)
Software EngineeringSystem DesignApplication DevelopmentTestingAgentic AIResponsible AISoftware ArchitectureCloud Native
Full posting text

Drive significant business impact and tackle a diverse array of challenges that span multiple technologies and applications

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.)

TechnologySoftware Engineering
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JPMorgan Chase

Financial Services

With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. We serve millions of customers and many of the world’s most prominent corporate, institutional, and government clients daily, managing assets and investments, offering business advice and strategies, and providing innovative banking solutions and services. Social Media Terms and Conditions: https://bit.ly/JPMCSocialTerms JPMorgan Chase & Co. is an

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