What are the responsibilities and job description for the Principal Software Engineer - Agentic AI position at JPMorgan Chase?
If you are looking for a game-changing career, working for one of the world's leading financial institutions, you’ve come to the right place.
As a Principal Software Engineer - Agentic AI at JPMorganChase within the Consumer & Community Banking Digital Technology team, you, you provide expertise and engineering excellence as an integral part of an agile team to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Leverage your advanced technical capabilities and collaborate with colleagues across the organization to drive best-in-class outcomes across various technologies to support one or more of the firm’s portfolios.
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 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
- Advises and leads on the strategy and development of multiple products, applications, and technologies across a portfolio
- Creates novel code solutions and drives the development of new production code capabilities across teams and functions
- Translates highly complex technical issues, trends, and approaches to leadership to drive the firm’s innovation and enable leaders to make strategic, well-informed decisions about technology advancements
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 7 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
- Ability to present and effectively communicate with Senior Leaders and Executives, and has a strong understanding of the business
- Drives adoption and implementation 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
- Ability to advise cross-functional teams on technological matters within the domain of Agentic AI Platforms and building agentic customer experiences
- Contributes to the development of technical methods in Agentic Customer Experiences in line with the latest product development methodologies
Preferred qualifications, capabilities, and skills
- Hands-on practical experience in building agentic AI platforms for building AI-driven customer experiences
- Advanced knowledge of software application development and technical processes with considerable in-depth knowledge in one or more technical disciplines -- cloud, artificial intelligence, machine learning, AI agents
- Experience applying expertise and new methods to determine solutions for complex technology problems in one or more technical disciplines
- Ability to present and effectively communicate with Senior Leaders and Executives
- Practical cloud native experience