Agent Platform Engineer Product Solutions Vice President, Chief Data Analytics Office Fusion Platform

JPMorgan Chase

Quick summary

Work type
On-site
Location
New York, NYChicago, ILPalo Alto, CASeattle, WA
Salary
$118,750–$197,000 / yr
Posted
4 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $200k
This role $158k
$104k most similar roles pay here $258k

This role pays less than 76% of similar roles. Most pay $160,937–$238,737 — the shaded band above. At the midpoint, this role pays about $158k versus about $200k 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 · Agent Platform Engineer Product Solutions Vice President, Chief Data Analytics Office Fusion Platform

Role Posting Log in to save

As a Senior Agent Platform Engineer at JPMorgan Chase’s Chief Data & Analytics Office Fusion Platform team, you will lead the development and deployment of AI agents in a highly regulated environment. You’ll work closely with Line of Business engineering teams to design and build production-grade AI systems using tools like Agent Studio, SmartSDK, RAG SDK, and MCP SDK, ensuring seamless integration and robust performance. Your responsibilities include architecting multi-agent systems, developing reference implementations, and contributing to the Agent Deployment Risk Framework. This role requires strong Python fluency, hands-on experience with LLM APIs and agent frameworks, and a deep understanding of enterprise governance and compliance issues. Ideal candidates have 5+ years of software engineering experience, particularly in AI/ML systems, and can effectively communicate complex technical concepts to both engineers and business stakeholders.

Skills

Python LangChain LangGraph AutoGen CrewAI MCP Vector stores Embedding models RAG pipelines LLM APIs Cloud-native AI infrastructure Model Context Protocol SDK extension Framework-level engineering Async patterns Agent observability Evaluation frameworks Responsible AI practices Regulated industries compliance

What you'll do

  • Design and build production-grade AI agents using specified SDKs.
  • Partner directly with Line of Business engineering teams for agent development.
  • Architect multi-agent systems including context passing and state management.
  • Develop reference implementations translating platform capabilities into patterns.
  • Contribute to MCP SDK design, validating tool surface security and integrations.
  • Identify and close capability gaps in agent observability and error recovery.

What we're looking for

  • 5+ years of software engineering experience with a focus on AI/ML systems or agent-based architectures in production.
  • Extensive experience working within complex organizations and engaging regularly with clients during sales cycles.
  • Strong Python fluency including async patterns, SDK extension, and framework-level engineering.
  • Hands-on experience building agents or agentic workflows, integrating RAG pipelines, and managing knowledge bases.
  • Ability to architect multi-agent systems, define interfaces, trace data flows, and reason about failure modes in distributed systems.
  • Comfortable operating in regulated environments with governance, compliance, and model risk constraints.

Related searches

More Agent Platform Engineer Product Solutions Vice President jobs Agent Platform Engineer Product Solutions Vice President jobs in New York All jobs at JPMorgan Chase

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