Lead GenAI Platform Architect - Cloud-Native AWS

Socket.dev; New Jersey; On-site; USD 170,000 - 210,000; Full time

Benefits offered by this job

Competitive compensation

Health benefits

Retirement plan

Education assistance

Job summary

JPMorganChase, within Corporate Technology, is seeking a Lead Software Engineer to guide architecture and hands-on delivery of scalable GenAI applications and agentic AI platforms for finance use cases. You will design cloud-native AWS services, establish observability standards, and drive cross-team decisions to improve reliability, cost, and velocity.

Ideal candidates have extensive Python experience, a track record delivering LLM/agentic systems, and technical leadership to mentor engineers

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Experience architecting and shipping production large language model applications, including agentic workflows and tool integration patterns.
• Experience leading effective use of approved AI-assisted software development tools with capacity to set team expectations for validating AI outputs.
• Strong understanding of responsible AI use in engineering workflows, data sensitivity, secure handling, resiliency and security.
• Familiarity with agentic workflows and frameworks (e.g., LangChain, LangGraph, Autogen, CrewAI and A2A).
• Experience building retrieval-augmented generation solutions using embeddings, semantic search, grounding.

Responsibilities

• Lead the architecture and hands-on delivery of scalable, reliable agentic AI platforms for enterprise workflows
• Drives team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes
• Applies knowledge of SDLC tools with AI-assisted development and automation capabilities to improve automation value
• Design and build production-grade AI systems including agents, skills, memory patterns, guardrails, and tool-use orchestration
• Architect retrieval and context-engineering approaches including embeddings, semantic search, grounding, summarization, and prompt/version management
• Engineer cloud-native AI services on AWS using containers and serverless patterns, event-driven messaging, and distributed data stores
• Optimize platform performance across latency, throughput, scalability, caching, context efficiency, and cost controls
• Build well-governed APIs and integrations connecting AI to enterprise platforms and business processes
• Establish evaluation, experimentation, regression testing, and observability frameworks to improve quality and agent behavior
• Mentor senior engineers and influence engineering direction through code reviews and cross-team leadership
• Leverage AI coding assist tools to improve code quality, delivery speed, and productivity; share learnings across teams

Skills

Python

LLM Architecting

Cloud-native design

Leadership

Enterprise AI

Tools

AWS Bedrock

Vertex AI

Kubernetes

LangChain

LangGraph

OpenAI API

Job description

JPMorganChase, within Corporate Technology, is seeking a Lead Software Engineer to guide architecture and hands-on delivery of scalable GenAI applications and agentic AI platforms for finance use cases. You will design cloud-native AWS services, establish observability standards, and drive cross-team decisions to improve reliability, cost, and velocity.

Ideal candidates have extensive Python experience, a track record delivering LLM/agentic systems, and technical leadership to mentor engineers