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Vice President Product Solutions - Chief Data Analytics Office Fusion Platform

JPMorgan Chase & Co.
New York City, United Statesfull_timeVerifiedPosted 11 Jun 2026

About the role

Leverage your problem-solving skills to thrive in a fast-paced environment and drive customer-centric strategies. As a leader in solutioning, collaborate closely with the Sales teams to deliver tailor-made product solutions that meet clients’ needs. Ignite your passion for product innovation by leading customer-centric development, inspiring solutions, and shaping the future with your strategic vision and influence. You will lead innovation through the development of products and features that delight customers. As a leader on the team, you leverage your advanced capabilities to challenge traditional approaches, remove barriers to success, and foster a culture of continuous innovation that helps inspire cross-functional teams create groundbreaking solutions that address customer needs. 

 
As a Product Solutions Manager in Chief Data & Analytics Office - Fusion Platform Team, you are an integral part of a team that defines and configures complex solutions for key client relationships and prospect opportunities in partnership with Sales. You are responsible for acting as the voice of the customer by understanding their needs and communicating feedback to the Product teams. The Agent Platform Engineer role sits inside the Product Agent Solutions Team the Forward Deployed Engineering function within CDAO (Chief Data & Analytics Office). This team is the tip of the spear for agentic AI adoption across the firm. We partner directly with LoB (Line of Business) engineering teams, get in the code with them, and do not leave until a production agent ships and if you want to build AI systems that actually run in production at one of the world's most complex regulated environments, this is the role.
 

 
As a  Agent Platform Engineer, you are first and foremost a builder. You write code, design agent architectures, and solve the hard integration problems that stand between a working agent prototype and a production system serving internal clients in a regulated environment. You are not a Product Manager, not a deck builder, and not a facilitator - you are an engineer who can also think in systems and communicate with senior stakeholders. You will work within the Agent Builder ecosystem contributing to reference implementations, debugging real integration failures, and developing the reusable patterns that scale agent adoption across the firm. This role demands both breadth (platform fluency across the full agent stack) and depth (the ability to architect a multi-agent system and write the code to prove it works).
 
 
 
Job responsibilities
  • Leads solutioning and the adoption of existing and upcoming client-facing products and capabilities while defining and configuring optimal solutions that address clients’ needs and objectives
  • Serves as a subject matter expert on a defined set of products and capabilities with a deep understanding of our clients’ needs and current industry trends
  • Supports Sales in pricing, pipeline planning, account planning, and upskilling the team on product knowledge by collaborating on training and collateral materials
  • Engages with client teams to better understand pain points and refine solutions while regularly communicating critical client feedback to Product teams to inform the strategic product roadmap
  • Design and build production-grade AI agents using Agent Studio, SmartSDK, RAG SDK, and MCP SDK including orchestrator/sub-agent architectures, tool-calling patterns, parallel execution loops, and write-back integrations.
  • Partner directly with LoB (Line of Business) engineering teams in Forward Deployed Engineering engagements — embed alongside their engineers, debug live integration issues, and jointly ship production agents on Fusion.
  • Architect multi-agent systems: define agent boundaries, orchestration patterns, context passing, tool surface exposure, and state management for regulated production workloads.
  • Develop and maintain reference implementations and SDK playbooks that translate platform capabilities into reusable, opinionated engineering patterns for LoB (Line of Business)  consumption.
  • Contribute to MCP SDK design and tooling — define tool schemas, validate tool surface security, and build integrations between agents and enterprise systems. Integrate RAG pipelines into agent workflows — manage knowledge base configuration, chunking strategies, retrieval tuning, and drift monitoring in production.
  • Identify and close capability gaps in agent observability, evaluation, and error recovery — work with Platform Engineering to surface and prioritize field-driven requirements. Participate in architecture reviews for high-complexity LoB (Line of Business)  agent builds — provide hands-on guidance on blast radius containment, human oversight hooks, and production ha

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Company

JPMorgan Chase & Co.

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