Principal Software Engineer - AI Foundations

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 at JPMorganChase within the Chief Data and Analytics Office (CDAO), 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


* Design, build, and troubleshoot AI-enabled applications and AI services, delivering creative, scalable solutions.


* Develop secure, high-quality production code; review, debug, and improve code written by others.


* Own and support SDK and service integrations, ensuring reliability, performance, and maintainability.


* Build and ship AI-powered features, including prompt design, function calling, and SDK/REST integrations (no prior experience required).


* Design and implement end-to-end MLOps capabilities including data/model versioning, reproducible training pipelines, CI/CD for models, deployment patterns, and continuous evaluation/monitoring.


* Contribute to next-generation training techniques (distributed fine-tuning, RLHF/DPO-style workflows, synthetic data generation, and automated evaluation) and productize them into reusable platform primitives.


* Identify recurring issues and automate remediation to improve reliability, resiliency, and operational performance of AI features and services.


* Create durable, reusable frameworks and platform components leveraged across teams, aligned to modern product development methodologies.


* Influence leaders and senior stakeholders across business, product, and technology to drive alignment and outcomes; foster a culture of diversity, opportunity, inclusion, and respect.


* 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.

Required qualifications, capabilities, and skills


* Formal training or certification on software engineering concepts and 7+ years applied experience


* Hands-on experience delivering system design, application development, testing, and operational stability for l...