Director of AI-Driven Software Engineering

JPMorgan Chase & Co.

Jersey City (NJ)

On-site

USD 180,000 - 280,000

Full time

7 days ago
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Job summary

JPMorgan Chase & Co. in Jersey City seeks a Director of Software Engineering to lead a technical area within Commercial & Investment Bank, Sales & Controls Tech Team.

You will drive impact across teams and projects, serving as a primary decision maker for technology strategy, innovation, and solution delivery. We expect strong Python expertise, AI-enabled architecture experience, cloud leadership on AWS, and a platform ownership mindset for large user bases, plus governance of security,

Qualifications

  • Formal training or certification on software engineering concepts and 10+ years applied experience.
  • 5+ years of experience leading technologists to manage complex technical items.

Responsibilities

  • Leads technology and process implementations to achieve functional technology objectives.
  • Accountable for decisions influencing teams’ resources, budget and operations.
  • Sets direction and governance for AI-enabled engineering and SDLC/ADLC automation.
  • Applies tools within the Software Development Life Cycle toolchain and AI-assisted development.
  • Governance of coding decisions, cost of ownership and portfolio operations.
  • Delivers technical solutions usable across multiple businesses and domains.
  • Leads and mentors technologists and supports hiring for deep technical roles.

Skills

Python engineering
AI/agentic workflows
Enterprise architecture
AWS cloud
VectorDB / RAG
Personalization
Voice & chat data
Platform ownership
Responsible AI governance
Leadership & mentoring

Tools

Python
AWS

Job description

JPMorgan Chase & Co. in Jersey City seeks a Director of Software Engineering to lead a technical area within Commercial & Investment Bank, Sales & Controls Tech Team.

You will drive impact across teams and projects, serving as a primary decision maker for technology strategy, innovation, and solution delivery. We expect strong Python expertise, AI-enabled architecture experience, cloud leadership on AWS, and a platform ownership mindset for large user bases, plus governance of security,

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