Senior Director of AI/ML Platform Engineering

JPMorganChase; Palo Alto (CA); On-site; USD 240,000 - 300,000; Full time

Job summary

JPMorganChase is seeking a Senior Director of Software Engineering to lead AI/ML platform initiatives within Consumer & Community Banking. You will guide multiple teams, drive best practices in MLOps, and collaborate across product, technology, and business units to deliver scalable AI-driven capabilities.

The role requires senior-level experience in software engineering leadership, cloud-native architectures, and a strong focus on responsible AI and governance.

Qualifications

• Formal training or certification in software engineering; 10+ years of applied experience in tech
• 5+ years leading technologists to manage complex challenges
• Advanced knowledge of software engineering, AI/ML, MLOps, and data governance

Responsibilities

• Leads design and development of AI/ML platform with scalability and security
• Manages and grows multiple engineering teams and AI specialists
• Defines product vision and roadmaps for AI-driven features
• Drives adoption of best practices in MLOps and data governance
• Sets direction for agentic AI-enabled engineering with guardrails for validation and security
• Keeps abreast of AI/ML trends and applies to business goals
• Ensures compliance with data privacy and responsible AI requirements
• Oversees end-to-end lifecycle of AI/ML projects from ideation to maintenance
• Communicates complex concepts to senior stakeholders
• Manages budgets and resources, reports progress and risks to exec leadership

Skills

AI/ML leadership

MLOps

Data governance

Cloud-native architecture

Team leadership

Cross-functional collaboration

Security & privacy

Budget management

Strategic planning

Communication with stakeholders

Education

Master's degree or PhD in STEM

Job description

JPMorganChase is seeking a Senior Director of Software Engineering to lead AI/ML platform initiatives within Consumer & Community Banking. You will guide multiple teams, drive best practices in MLOps, and collaborate across product, technology, and business units to deliver scalable AI-driven capabilities.

The role requires senior-level experience in software engineering leadership, cloud-native architectures, and a strong focus on responsible AI and governance.