Director of AI-Driven Software Engineering

JPMorgan Chase; Wilmington (DE); On-site; USD 140,000 - 180,000; Full time

Benefits offered by this job

Comprehensive health care coverage

On-site health and wellness centers

Retirement savings plan

Tuition reimbursement

Mental health support

Job summary

JPMorgan Chase is seeking a Senior Director of Software Engineering to lead initiatives within the Consumer and Community Banking Risk AI/ML Model Engineering team. This role requires extensive experience in software engineering and leadership, overseeing multiple departments to implement cutting-edge technologies.

The successful candidate will manage complex projects, influence senior leaders, and drive the adoption of AI-enabled engineering methodologies while fostering a diverse and inclusive environment.

Qualifications

• 10+ years applied experience in software engineering.
• 5+ years leading technologists in complex technical items.
• Experience developing cross-functional team leadership.

Responsibilities

• Lead multiple technology and process implementations across departments.
• Set multi-department strategy for AI-enabled engineering.
• Manage complex projects and large cross-product collaborations.

Skills

Software engineering concepts

Leadership of technical teams

Influencing across organizations

Project management

Building application frameworks

Machine learning frameworks

Cloud native experience

Computer Science or related field expertise

Education

Bachelor's or Master's degree in Computer Science, Computer Engineering, Mathematics, or a related technical field

Tools

Databricks

Snowflake

Spark

Job description

JPMorgan Chase is seeking a Senior Director of Software Engineering to lead initiatives within the Consumer and Community Banking Risk AI/ML Model Engineering team. This role requires extensive experience in software engineering and leadership, overseeing multiple departments to implement cutting-edge technologies.

The successful candidate will manage complex projects, influence senior leaders, and drive the adoption of AI-enabled engineering methodologies while fostering a diverse and inclusive environment.