SR Principal Software Engineer - Applied AI Engineering

JPMorganChase; Jersey City (NJ); On-site; USD 140,000 - 180,000; Full time

Benefits offered by this job

Comprehensive health care coverage

Retirement savings plan

Tuition reimbursement

Mental health support

Job summary

JPMorgan Chase is looking for a Senior Principal Software Engineer to lead the adoption of AI-powered solutions in software engineering processes. The role involves managing cross-functional teams to improve developer productivity and implementing engineering practices that drive firm-wide objectives across the Commercial and Investment Bank Payments Technology team.

The ideal candidate will have at least 10 years of experience in software engineering, particularly with AI and agentic systems, along with strong stakeholder management skills. This role offers competitive compensation and comprehensive benefits.

Qualifications

• 10+ years of applied experience in software engineering.
• Experience leading multi-organization adoption of AI-enabled engineering models.
• Strong communicator with ability to manage executive-level stakeholders.

Responsibilities

• Lead execution of AI-native SDLC and PDLC model.
• Operationalize agentic patterns and toolchains.
• Directly manage multiple areas with strategic focus.

Skills

AI/LLMs expertise

Software engineering concepts

Cross-functional leadership

Stakeholder management

Agentic systems experience

Education

Degree in Computer Science, Computer Engineering, Mathematics or related field

Tools

AWS services (EKS, Glue, S3)

Job description

Job Description

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 JPMorgan Chase 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. You will lead multiple technical areas, manage 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.
• Lead 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.
• Set and scale 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; establish guardrails for validation, security, resiliency, traceability and reuse.
• Apply 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‑premises, cloud‑native ecosystems and AWS services (e.g., EKS, Glue, S3).
• 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.

Benefits and Compensation

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity. You also receive a range of benefits and programs to meet employee needs, including 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.

Equal Employment Opportunity

We are an equal opportunity employer and place a high value on diversity and inclusion. We do not discriminate on the basis of any protected attribute. We also provide reasonable accommodations for applicants' and employees' religious practices and needs.