Senior Director of Software Engineering, AI Engineering

JPMorgan Chase

Quick summary

Work type: On-site
Location: Jersey City, NJPalo Alto, CA
Salary: $232,750–$325,000 / yr
Posted: 3 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $201k

This role $279k

$130k most similar roles pay here $346k

This role pays more than 92% of similar roles. Most pay $164,787–$236,900 — the shaded band above. At the midpoint, this role pays about $279k versus about $201k for comparable roles.

Based on 240 similar postings.

Employer

About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 436 open roles on FindRole.

Listed pay typically runs $152,000–$215,000 across 230 roles with salary data.

Most-posted roles

View all roles at JPMorgan Chase

At a glance

TL;DR · Senior Director of Software Engineering, AI Engineering

Role Posting Log in to save

As Senior Director of Software Engineering at JPMorganChase within the Commercial and Investment Bank Payments Technology team, you will lead the execution and operationalization of AI-powered solutions across the software development lifecycle. Your responsibilities include embedding AI into production workflows to enhance developer productivity, quality, and security, while ensuring responsible AI practices in production environments. You will collaborate with application development leaders and platform owners to identify high-impact use cases and scale production adoption, driving alignment on control design, security approvals, and rollout approaches. This role requires deep expertise in software engineering, AI/LLMs, agentic systems, and a proven track record of leading complex projects across matrixed organizations. Familiarity with AWS services, secure SDLC practices, and modern data architectures is essential, along with strong communication skills to manage executive-level stakeholders effectively.

Skills

AI/LLMs Agentic systems MCP A2A AWS EKS Glue S3 CI/CD Python Responsible AI practices Secure SDLC API-first design Cloud-native ecosystems Modern data architectures Analytics experimentation Kubernetes Terraform

What you'll do

Lead execution of AI-native SDLC and PDLC models across phases.
Operationalize agentic patterns, including LLM orchestration and toolchain integrations.
Ensure responsible AI practices in production for security and compliance.
Identify high-impact use cases with App Dev leaders to scale adoption.
Translate engineering workflows into AI-enabled capabilities to reduce developer toil.

What we're looking for

Over 10 years of software engineering experience, including 5+ years in leadership roles.
Deep expertise in AI/LLMs and their application to software engineering workflows.
Hands-on experience with agentic systems and integration patterns like MCP and A2A.
Proven ability to lead cross-functional teams amid ambiguity and manage complex projects.
Strong executive-level stakeholder management skills, translating technical depth into business outcomes.
Experience in leading the adoption of agentic AI-enabled engineering operating models.

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