Principal Software Engineer - AI Foundations

JPMorganChase; Jersey City (NJ); On-site; USD 180,000 - 240,000; Full time

Job summary

JPMorganChase is seeking a Principal Software Engineer within the Chief Data and Analytics Office to advance trusted market-leading technology products in a secure, scalable manner. You will collaborate across the organization to deliver AI-enabled solutions, contribute to end-to-end MLOps pipelines, and drive governance, security, and reliability in production systems.

The role emphasizes architecture, toolchain integration, and influencing senior leaders while fostering diversity and inclusion

Qualifications

• 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 (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 tools.

Responsibilities

• Design, build, and troubleshoot AI-enabled applications and AI services, delivering scalable solutions.
• Develop secure, high-quality production code and review code written by others.
• Own and support SDK and service integrations ensuring reliability and performance.
• Build and ship AI-powered features including prompt design, function calling, and SDK/REST integrations.
• Design and implement end-to-end MLOps capabilities including data/model versioning and CI/CD for models.

Skills

Python

Java

Scala

Go

AI/ML development

Cloud-native

MLOps

CI/CD

System design

Communication

Tools

Docker

Kubernetes

Ray

Job description

Job Description

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 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.
• Proven ability to design and operate ML/LLM platforms: reproducible training pipelines, experiment tracking, model/data versioning, and continuous evaluation.
• Practical cloud‑native experience (containers, orchestration, IaC, observability) and experience operating production systems with clear SLOs.
• Experience applying new methods to solve complex technology problems across one or more technical disciplines (platform engineering, ML systems, data engineering, distributed systems).
• Strong communication skills: able to present to and influence senior leaders/executives, translating complex technical topics into clear decisions and trade‑offs.
• Strong understanding of business outcomes and product delivery, and ability to align platform roadmaps to measurable impact.

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 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‑team, 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.

FEDERAL DEPOSIT INSURANCE ACT

This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorganChase's review of criminal conviction history, including pretrial diversions or program entries.

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, paid in the form of cash and/or forfeitable equity, 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.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans.

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.