Principal Databricks Engineer AI/ML Platform Leader

JPMorgan Chase & Co.

Jersey City (NJ)

On-site

USD 180,000 - 260,000

Full time

14 days+
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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

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