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 Senior Principal Software Engineer at JPMorganChase within the Commercial and Investment Bank Payments Technology team, you will deliver the execution and operationalization of AI-powered solutions across the SDLC and PDLC. Your focus will be on delivering robust, secure, and scalable engineering outcomes, embedding AI into production workflows to optimize developer productivity, quality, and security. This senior leadership role requires deep expertise in software engineering, AI/LLMs, agentic development patterns, and a strong track record in delivery. You will influence outcomes across a highly matrixed organization, ensuring successful adoption and continuous improvement of AI-enabled engineering practices. team, you lead multiple technical areas, manage the activities of multiple departments, and collaborate across technical domains. Your expertise is applied cross-functionally to drive the adoption and implementation of technical methods within various teams and aid the firm in remaining at the forefront of industry trends, best practices, and technological advances.
Job Responsibilities
- Lead the execution of an AI-native SDLC and PDLC model across architecture, coding, security, testing, release, and observability phases.
- Operationalize agentic patterns and toolchains, including LLM orchestration, skills, context engineering, and MCP-based integrations.
- Ensure responsible AI practices in production: guardrails, evaluation, monitoring, and auditable workflows.
- Partner with App Dev leaders and platform owners to identify high-impact use cases, validate value, and scale production adoption.
- Translate engineering workflows into AI-enabled production capabilities (assistive to autonomous) that materially reduce developer toil.
- Drive alignment with GT/LOB stakeholders on control design, security approvals, platform standards, and rollout approach.
- Leads multiple technology and process implementations across departments to achieve firmwide technology objectives
- Directly manage multiple areas with strategic transactional focus
- Interface with senior leaders, stakeholders, and executives, driving consensus across competing objectives
- Sets and scales multi-department strategy for agentic AI-enabled engineering and SDLC/TLM automation (using enterprise-authorized tools within the work environment) to drive firmwide objectives (speed, scalability, reliability, and cost-to-serve), including portfolio-level standards for AI-orchestrated delivery workflows, release governance, automated test modernization, resilience engineering, and incident response acceleration; establishes guardrails for validation, security, resiliency, traceability, and reuse.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to drive cross-domain reuse and measurable capacity unlock outcomes across departments.
Required qualifications, skills, and capabilities
- Formal training or certification on software engineering concepts and 10+ years applied experience
- Deep expertise in AI/LLMs and their application to software engineering workflows (coding, design, security, testing, release).
- Hands-on experience with agentic systems, tool/skill orchestration, and integration patterns (e.g., MCP, A2A, function/tool calling).
- Proven ability to lead cross-functional engineering delivery amid ambiguity, roadmap definition, backlog, dependency management, and stakeholder alignment.
- Strong communicator with executive-level stakeholder management, able to translate between engineering depth and business outcomes.
- Experience leading multi-organization adoption of agentic AI-enabled engineering operating models (using enterprise-authorized tools within the work environment), including defining governance (human-in-the-loop decisioning, quality gates), measurement frameworks, and secure handling of sensitive inputs/outputs across teams.
- Demonstrated prior experience influencing across highly matrixed, complex organizations and delivering value at scale
- Experience leading complex projects supporting system design, testing, and operational stability
- Experience with hiring, developing, and recognizing talent
- Deep understanding of responsible AI risk, controls, and resiliency/security expectations at scale, with demonstrated ability to advise senior leaders on safe adoption, portfolio governance, and reuse-first strategies.
- Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field
Preferred qualifications, skills, and capabilities
- Experience working at code level
- Experience with on-prem , cloud-native ecosystems and AWS services (e.g., EKS, Glue, S3, etc.,)
- Familiarity with modern data architectures and sharing patterns , data contracts/entitlements, and cost optimization.
- Experience with secure SDLC practices and developer security tooling and vulnerability management metrics.
- API-first production design and integration patterns; strong analytics and experimentation discipline.
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 on software engineering concepts and 10+ years applied experience
- Deep expertise in AI/LLMs and their application to software engineering workflows (coding, design, security, testing, release)
- Hands-on experience with agentic systems, tool/skill orchestration, and integration patterns (e.g., MCP, A2A, function/tool calling)
- Proven ability to lead cross-functional engineering delivery, roadmap definition, backlog and dependency management
- Strong communicator with executive-level stakeholder management
- Experience leading multi-organization adoption of agentic AI-enabled engineering operating models, governance, and measurement frameworks
- Demonstrated experience influencing across highly matrixed, complex organizations and delivering value at scale
- Experience leading complex projects supporting system design, testing, and operational stability
- Experience with hiring, developing, and recognizing talent
- Deep understanding of responsible AI risk, controls, and resiliency/security expectations at scale
- Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field
- Experience working at code level
- Experience with on-prem and cloud-native ecosystems and AWS services (EKS, Glue, S3, etc.)
- Familiarity with modern data architectures, data contracts/entitlements, and cost optimization
- Experience with secure SDLC practices, developer security tooling, and vulnerability management metrics
- API-first production design and integration patterns; strong analytics and experimentation discipline
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 comprehensive, with on-site clinics, preventive care, and specialized supports such as maternity nurse guidance and fertility treatments. Wellness activities can help offset copays and out-of-pocket costs, reinforcing the perceived strength of health benefits.
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Retirement Support — A 401(k) with dollar-for-dollar matching and additional automatic pay credits reflect strong employer-backed retirement savings. An employee stock purchase plan and related financial programs further bolster long-term financial support.
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Leave & Time Off Breadth — Paid time off, sick time, holidays, and generous parental leave are provided alongside family medical leave and adoption/fertility assistance. Additional programs like caregiver support and volunteer time off expand the breadth of time-away options.
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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