SR Director of Software Engineering - AI Engineering

Take on a role where you can have a direct and meaningful impact on the future of one of the world's largest and most influential companies.

As Senior Director of Software Engineering 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...