Principal Software Engineer - AI Foundations

About the role

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.
• Influence leaders and senior stakeholders across business, product, and technology to drive alignment and outcomes; foster a culture of diversity, opportunity, inclusion, and respect.
• Architect and govern 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.
• Apply 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 large-scale platforms and services.
• Expert proficiency in one or more programming languages (e.g., Python, Java, Scala, Go) with strong code quality, testing, and debugging practices.
• 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.
• Practical experience with distributed compute and scalable model training/fine-tuning (e.g., Ray and/or comparable distributed frameworks), including performance, cost, and reliability trade-offs.
• Experience building model development platforms for LLMs/agentic systems (fine-tuning, evaluation harnesses, retrieval/tooling integration, prompt/agent testing).
• Experience with modern MLOps toolchains (CI/CD for models, model registries, feature/data stores, governance workflows) and production ML operations.
• Background in LLM evaluation, benchmarking, red-teaming, and quality measurement (offline + online), including experimentation and A/B testing.
• Experience designing multi-tenant platforms, reusable frameworks, and developer self-service capabilities at enterprise scale.
• Strong security-by-design experience for ML systems (secrets, access control, data handling, supply chain controls) and resiliency engineering.

Preferred Qualifications, Capabilities, And Skills

• Practical experience with distributed compute and scalable model training/fine-tuning (e.g., Ray and/or comparable distributed frameworks), including performance, cost, and reliability trade-offs.
• Experience with modern MLOps toolchains (CI/CD for models, model registries, feature/data stores, governance workflows) and production ML operations.
• Background in LLM evaluation, benchmarking, red-teaming, and quality measurement (offline + online), including experimentation and A/B testing.
• Experience designing multi-tenant platforms, reusable frameworks, and developer self-service capabilities at enterprise scale.
• Strong security-by-design experience for ML systems (secrets, access control, data handling, supply chain controls) and resiliency engineering.

About Us

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

About The Team

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.