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
JPMorganChase San Francisco, California, USA Office
San Francisco, CA, United States
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