Senior Principal Software Engineer - AI Development | Engineering Services & Platforms
We’re looking for a tech leader ready to take their career to new heights. Join the ranks of top talent at one of the world’s most influential companies.
As a Senior Principal Software Engineer at JPMorganChase within the Chief Technology Office (CTO), you provide deep engineering expertise and work across agile teams to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Leverage your deep expertise to consistently challenge the status quo, innovate for business impact, lead the strategic development behind new and existing products and technology portfolios, and remain at the forefront of industry trends, best practices, and technological advances.
As the Senior Principal Software Engineer you will work on a rare greenfield opportunity to solve for one of the fastest-growing threats in enterprise technology - Software Dependency Risk. As AI-assisted development accelerates the adoption of open-source and commercial packages across the firm, understanding what software your applications depend on — and whether it's healthy, secure, and compliant — has never been more critical. JPMorgan Chase's answer to that challenge: a firm-wide platform that gives 60,000 developers and their engineering leaders visibility into the dependency health of 6,000+ applications. We are past ideation and into the market — an early product in hand, the roadmap ahead, and a mandate to build something that becomes foundational infrastructure for how the firm manages software risk at scale.
Job responsibilities
Define and own the platform architecture across data ingestion pipelines, dependency graph modeling, and developer-facing APIs on AWS and Java.
Serve as the technical authority — the person the team reaches for on design decisions, performance problems, and build-vs-buy calls
Partner with the ED of Engineering on technical strategy and roadmap sequencing
Mentor senior engineers and raise the technical bar across the team
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
Lead delivery of the core platform build-out: data ingestion pipelines, dependency graph modeling, developer-facing surfaces, and firm-wide integration.
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.
Build an agentic-first development practice — where AI tools (including Claude) are embedded into how the team designs, codes, reviews, and ships. Set the standard for what a high-performing, AI-augmented engineering team looks like inside a regulated, large-scale enterprise
Operate as a senior engineering voice, building relationships and credibility across teams beyond your direct organization. Represent engineering in cross-functional discussions with security, risk, compliance, and firm-wide platform partners. Engage with senior stakeholders with clarity and conviction — translating deep technical work into business impact
Required qualifications, capabilities, and skills
Formal training or certification in software engineering concepts and 10+ years of applied experience.
Experience operating at both high altitude (architecture, strategy) and ground level (code reviews, pairing, debugging production issues)
Expert in one or more programming language(s) – Java & Python.
Experience designing and scaling data-intensive platforms — data structures, data pipelines, large-scale ingestion, graph or dependency.
Practical experience successfully delivering from concept, design, application development, testing, first release, operational stability and to iterative improvement.
Practical experience with AI-first development practices — using LLMs and agentic tools to accelerate software delivery.
Practical experience successfully delivering from concept, design, application development, testing, first release, operational stability and to iterative improvement.
Demonstrated experience designing and scaling agentic AI-enabled development patterns (using enterprise-authorized tools within the work environment) across teams/functions, including establishing governance for human-in-the-loop validation, traceability/auditability, and secure handling of sensitive inputs/outputs.
Strong understanding of responsible AI use and control expectations at scale, including security/resiliency implications, data sensitivity, and risk-based governance; ability to advise senior leaders on safe adoption, reuse, and measurable outcomes.
Experience applying expertise and new methods to determine solutions for complex technology problems across various technical disciplines
Extensive practical cloud native experience (AWS)
Preferred qualifications, capabilities, and skills
Experience with Greenfield architecture.
Experience delivering AI/ML solutions in financial services, capital markets, or operations-focused environments
Experience working in highly regulated environments with strong model risk, governance, or control expectations
Experience designing scalable system architectures for AI products and platforms across multiple stakeholder groups
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
Skills Required
- Formal training or certification in software engineering concepts
- 10+ years of applied software engineering experience
- Experience working across architecture, strategy, code reviews, pairing, and production debugging
- Expertise in Java and Python
- Experience designing and scaling data-intensive platforms, including data structures, pipelines, large-scale ingestion, and graph or dependency systems
- Experience delivering software from concept and design through development, testing, release, operational stability, and iteration
- Practical experience with AI-first development using LLMs and agentic tools
- Experience designing and scaling agentic AI-enabled development patterns across teams and functions
- Experience establishing governance for human-in-the-loop validation, traceability, auditability, and secure handling of sensitive inputs and outputs
- Strong understanding of responsible AI, security, resiliency, data sensitivity, and risk-based governance
- Experience solving complex technology problems across technical disciplines
- Extensive practical cloud-native experience with AWS
- Experience with greenfield architecture
- Experience delivering AI or machine learning solutions in financial services, capital markets, or operations-focused environments
- Experience working in highly regulated environments with model risk, governance, or control expectations
- Experience designing scalable architectures for AI products and platforms across multiple stakeholder groups
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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