Director of Software Engineering and AI - Operations

JPMorgan Chase & Co.; Plano (TX); On-site; USD 180,000 - 240,000; Full time

Job summary

JPMorgan Chase & Co. in Plano, TX, seeks a Director of Software Engineering to lead a technical area within Operations Collections. You will drive impact across teams, technologies, and projects, acting as a primary decision maker and champion of innovation and delivery.

You will guide AI-enabled engineering, SDLC automation, and governance, coordinate with product and technology leaders, and ensure secure, scalable solutions that improve speed, quality, and outcomes across the organization.

Qualifications

• Formal training or certification in software engineering concepts with 10+ years of applied experience.
• 5+ years leading technologists to manage, anticipate and solve complex technical items in your domain.
• Experience leading cross-functional teams of technologists.

Responsibilities

• Leads technology and process implementations to achieve functional technology objectives
• Accountable for decisions that influence resources, budget, tactical operations, and the execution and implementation of processes and procedures
• Sets direction and governance for agentic AI-enabled engineering and SDLC/TLM automation within a technical area to drive measurable improvements in speed, quality, and operational outcomes, while establishing guardrails for validation, security, resiliency, traceability, and reuse across teams
• Applies knowledge of tools within the Software Development Life Cycle (SDLC) toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation
• Carries governance accountability for coding decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations
• Delivers technical solutions that can be leveraged across multiple businesses and domains
• Influences peer leaders and senior stakeholders across the business, product, and technology teams

Skills

Cross-functional leadership

Talent development

AI-enabled engineering

SDLC automation

Governance

Cloud native

Technical leadership

CS/CE/Math degree

Education

CS/CE/Math degree

Job description

If you are a software engineering leader ready to take the reins and drive impact, we’ve got an opportunity just for you.

As a Director of Software Engineering at JPMorganChase within the Operations Collections, you lead a technical area and drive impact within teams, technologies, and projects across departments. Utilize your in-depth knowledge of software, applications, technical processes, and product management to drive multiple complex projects and initiatives, while serving as a primary decision maker for your teams and be a driver of innovation and solution delivery.

Job responsibilities

• Leads technology and process implementations to achieve functional technology objectives
• Accountable for decisions that influence teams’ resources, budget, tactical operations, and the execution and implementation of processes and procedures
• Sets direction and governance for agentic AI-enabled engineering and SDLC/TLM automation within a technical area to drive measurable improvements in speed, quality, and operational outcomes (e.g., AI-orchestrated delivery workflows, release readiness controls, automated test modernization, and incident triage acceleration), while establishing guardrails for validation, security, resiliency, traceability, and reuse across teams.
• 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 and support capacity unlock initiatives at scale.
• Carries governance accountability for coding decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations
• Delivers technical solutions that can be leveraged across multiple businesses and domains
• Influences peer leaders and senior stakeholders across the business, product, and technology teams

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise
• Experience developing or leading cross-functional teams of technologists
• Experience with hiring, developing, and recognizing talent
• Experience leading adoption of agentic AI-enabled engineering practices (using enterprise-authorized tools within the work environment) across teams, including defining operating expectations (human-in-the-loop validation, quality gates), measuring outcomes, and ensuring secure handling of sensitive inputs/outputs.
• Strong understanding of responsible AI use and control expectations in engineering workflows, including data sensitivity, resiliency/security implications, and governance; ability to influence leaders on safe scaling patterns and reuse.
• Practical cloud native experience
• Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field