Senior Principal Software Engineer -AI Foundation Services

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 Senior Principal Software Engineer at JPMorganChase within AMDP/CDAO, you will serve as a hands-on thought leader and builder for AI Foundation Services-the scaled, secure, performance-optimized infrastructure that enables large-scale GenAI and traditional AI/ML across Lines of Business.

You will partner directly with Lines of Business application teams to synthesize requirements into implementable designs, co-develop solutions through launch and early operations, and de-risk delivery across performance, scale, reliability, and security.

You will also drive firmwide reuse through shared reference architectures, playbooks, test harnesses, and GPU training/serving baselines, raising the engineering bar and accelerating adoption across the portfolio.

Job responsibilities



* Leads as a hands-on technical thought leader to build, integrate, and optimize AI Foundation Services infrastructure for GenAI and traditional AI/ML platforms


* Co-develops with Lines of Business (LOB) application teams to deliver reusable AI/ML foundational services and managed service patterns


* Synthesizes Lines of Business (LOB) requirements into implementable designs and drives delivery from design through launch and early operational support


* De-risks delivery across performance, scale, reliability, and security by defining non-functional requirements, testing strategies, and operational readiness criteria


* Drives reuse and standardization through shared reference architectures, playbooks, test harnesses, and GPU training/serving baselines for model hosting platforms


* Sets strategy and operating standards for agentic AI-enabled engineering across a portfolio (using enterprise-authorized tools within the work environment) to drive measurable improvements in delivery speed, reliability, and code quality (e.g., AI-orchestrated SDLC/TLM automation, release readiness gating, incident triage/root-cause acceleration, and large-scale refactoring/test modernization), while defining guardrails for validation, security, resiliency, and reuse across teams and functions.


* 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 and leads on the strategy and development of multiple products, applications, and technologies across a portfolio by creating 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 technological advancements


* Drives adoption and implementation of technical m...