Principal Databricks Engineer AI/ML Platform Leader

JP Morgan Chase; Jersey City (NJ); On-site; USD 180,000 - 260,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Principal Software Engineer within the Chief Data Analytics Office to drive scalable AI-enabled products, secure code bases, and enterprise-grade solutions.

You will partner with cross-functional teams to design, implement, and govern advanced analytics platforms that support risk management and product development at scale. Ideal candidates bring 10+ years leading complex tech programs, deep Databricks experience, and a proven ability to influence senior

Qualifications

• 10+ years leading technology organizations.
• Proficient in Python and enterprise SDLC.
• AWS infra provisioning and IAM policies experience.
• Executive-level stakeholder leadership.
• Deep Databricks expertise in large enterprises.
• Experience with agentic AI-enabled development practices.
• Strong governance around responsible AI and data security.
• Ability to manage multiple portfolios and priorities.

Responsibilities

• Build scalable coding frameworks and secure production code.
• Review and debug code and improve delivery quality.
• Architect agentic AI-enabled workflows with guardrails.
• Leverage enterprise SDLC tools to improve automation.
• Advise cross-functional teams on technology matters.
• Lead as SME and influence senior stakeholders.
• Develop reusable software frameworks used across teams.
• Guide adoption of AI-enabled development practices.

Skills

Python

SDLC

AWS Terraform

Databricks

Executive leadership

Stakeholder influence

Agentic AI

Responsible AI

Security governance

Tools

Terraform

Job description

JPMorgan Chase & Co. is seeking a Principal Software Engineer within the Chief Data Analytics Office to drive scalable AI-enabled products, secure code bases, and enterprise-grade solutions.

You will partner with cross-functional teams to design, implement, and govern advanced analytics platforms that support risk management and product development at scale. Ideal candidates bring 10+ years leading complex tech programs, deep Databricks experience, and a proven ability to influence senior