Senior ML Engineering Lead — AI-Driven FinTech Platforms

JPMorgan Chase; Jersey City (NJ); On-site; USD 180,000 - 240,000; Full time

Job summary

JPMorgan Chase in Jersey City seeks a Senior Manager of Software Engineering to lead a team across multiple technical domains within the Commercial & Investment Bank - Payments group. You will guide agile teams to design, build, and secure market-leading technology products that scale and remain reliable.

The role emphasizes applying AI-assisted development tools, ensuring secure delivery, and collaborating with stakeholders while shaping budget, practices, and technical direction for optimal

Qualifications

• Formal training or certification on software engineering concepts with 5+ years of applied experience.
• 2+ years of experience leading technologists to manage and solve complex technical items.
• Experience with Java, Python, and SQL in a large corporate environment.
• Experience with PostgreSQL.
• Experience with AWS.
• Familiarity with enterprise-authorized AI-assisted development tools and safe usage practices.

Responsibilities

• Provide direction and coaching for a team of engineers on tasks of varying complexity.
• Influence resource planning, budget, and execution of processes and procedures.
• Set operating practices for AI-assisted engineering and SDLC automation across teams; define measurable goals.
• Promote reuse of firm technology assets and ensure secure, reliable delivery.
• Foster collaboration across teams and stakeholders to deliver outcomes.
• Identify risks and escalate issues to keep the book of work on track and efficient.

Skills

Java

Python

SQL

CI/CD

AWS

Tools

Databricks

Scikit-Learn

PyTorch

Pandas

Job description

JPMorgan Chase in Jersey City seeks a Senior Manager of Software Engineering to lead a team across multiple technical domains within the Commercial & Investment Bank - Payments group. You will guide agile teams to design, build, and secure market-leading technology products that scale and remain reliable.

The role emphasizes applying AI-assisted development tools, ensuring secure delivery, and collaborating with stakeholders while shaping budget, practices, and technical direction for optimal