Senior Lead Software Engineer- AI Engineer

This is your chance to shape an AI-first Developer Portal-a modern "front door" where clients and their systems can discover capabilities, onboard, troubleshoot, and integrate through agent-ready workflows and high-quality external APIs.

As a Senior Vice President of Software Engineering within Payments Technology, you will lead teams and remain hands-on in building secure, stable, scalable platform capabilities that modernize the developer experience for the agentic era.

As a Senior Lead Software Engineer at JPMorgan Chase within Payments Technology, you will lead teams and remain hands-on in building secure, stable, scalable platform capabilities that modernize the developer experience for the agentic era

Role summary

You will own the technical direction and execution for an AI-native portal experience where:


* Core portal capabilities are designed to be consumed by agents and automation (with excellent human UX as a companion).


* Workflows are exposed as reusable actions/tools with strong security, auditability, and operational controls.


* External API experiences are productized to be easy to discover, evaluate, and integrate-at scale.

Job responsibilities


* Lead the creation of an AI-first Developer Portal experience: define architecture patterns for agent-ready workflows, tool/action schemas, context assembly, and safe execution.


* Build and operate AI-enabled support experiences (assistant + workflow automation) with contextual understanding of client/workspace state, integration progress, and troubleshooting signals.


* Design and deliver secure external API platform capabilities: contract-first API design (OpenAPI), versioning strategy, backward compatibility, idempotency, pagination, consistent error models, and developer usability.


* Own authentication and credential workflows for external integrations, including patterns for certificate handling, credential rotation, and secure onboarding journeys.


* Establish engineering standards for AI + automation in production: evaluation and test strategy, release gating, telemetry, audit logging, and incident response for AI/tooling systems.


* Remain hands-on (~50%) through critical-path coding, architecture reviews, code reviews, debugging, and performance/resiliency improvements.


* Drive cross-functional, federated delivery by partnering with API owners, security, and shared services to deliver a unified client experience despite distributed backend ownership.


* Coach and develop engineers: set expectations for quality, delivery discipline, design rigor, and collaboration; actively grow technical talent and leadership bench.

Required qualifications, capabilities, and skills


* Formal training or certification in software engineering concepts and 5+ years applied experience; demonstrated coaching/mentoring experience.


* 10+ years of software engineering experience building and operating distributed systems at scale.


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