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Builds and runs an agentic, AI-first data platform for JPMorgan Chase's Asset & Wealth Management team in Plano, TX — developing AI skills, agents, and RAG capabilities with Claude Code while owning full-stack delivery (React/Angular, Python/Java/Kotlin) and data engineering on Spark, Kafka, Airflow, Snowflake, and AWS.
Lead Software Engineer on JPMorgan Chase's Corporate AI/ML Data Platforms team, designing, building, and operating the AWS-based cloud infrastructure (Terraform, Docker/Kubernetes/EKS, Python/Java, GPU workloads) that lets data scientists train and deploy ML models at scale, with strong DevOps and platform-engineering practices.
Lead software engineer on JPMorgan Chase's Asset Management Technology team, building and enhancing distributed trading/portfolio-construction systems (CMAS) as a hands-on developer and team lead. Core stack is Java, Python, React, and Spring Boot microservices, with cloud native, CI/CD, and AI-assisted engineering practices.
Senior lead software engineer on JPMorgan Chase's Consumer & Community Banking AI Production Architecture team, building production-grade multi-agent AI systems that automate the software delivery pipeline and driving AI-assisted engineering practices across teams. Day-to-day spans Python/TypeScript development, LLM API integration, agent reliability and observability, and mentoring engineers.
Senior Lead Software Engineer focusing on 100% hands-on development for pre-trade, pricing, and risk systems within the Securitized Product Group. Core technologies include Java (Spring Boot/Cloud), Python, or C++, alongside messaging platforms like Kafka and IBM MQ to build scalable trading solutions.
Executive Director–level Senior Principal Architect in JPMorgan Chase's Enterprise Architecture group, defining enterprise technology strategy, future-state architectures, and modernization roadmaps while advising senior executives and driving AI-enabled transformation at enterprise scale. Core focus: enterprise architecture, cloud, AI/ML, and large-scale modernization.
We are looking for a talented Vice President to join The Chief Data and Analytics Office (CDAO) Strategy team at JPMorgan Chase. The CDAO is dedicated to positioning the firm as the leading data and AI-enabled…
We have an exciting and rewarding opportunity for you to take your cyber security career to the next level. As an Assessment & Exercises Vice President at JPMorgan Chase within Cybersecurity Technology and…
We are looking for a talented Senior Associate to join The Chief Data and Analytics Office (CDAO) team at JPMorgan Chase. This team is dedicated to positioning the firm as the leading data and AI-enabled financial…
Manages day-to-day workflow, processes, and reporting for JPMorgan Chase's Digital Customer Experience design organization in Brooklyn — leading portfolio prioritization, resourcing, cross-team delivery, and governance, including adoption of AI/automation tooling. Needs 4+ years of program/design ops experience and fluency with Jira, Monday.com, Agile/Waterfall, and Figma.
A senior engineer on JPMorgan Chase's Payments Data & Analytics team builds and operates agentic AI solutions end to end on NEO, the firm's agent runtime platform — agent execution/sandboxing (micro-VMs), A2A/MCP integrations, memory, retrieval and evals — using a strong Python backend, a TypeScript/Next.js front end, and cloud-native Kubernetes deployment.
Infrastructure Engineer III at JPMorgan Chase's Consumer and Community Banking team, focused on AWS cloud cost optimization (FinOps) using GenAI and agentic AI automation, plus capacity management and monitoring of large-scale systems. Day to day involves analyzing cloud spend, scaling AI-driven recommendations, and validating AI outputs against security and resiliency standards.
Senior Lead Software Engineer on JPMorgan Chase's AI/ML Data Platforms team, building agentic AI platforms and LLM-backed enterprise services on AWS (RAG, vector memory, cloud-native microservices), while driving architecture decisions, code quality, MLOps, and AI-assisted engineering standards.
Senior Lead Software Engineer on JPMorgan Chase's CDAO AI/ML Data Platform team, building and operating secure, scalable 24x7 tier-1 data services while driving adoption of AI-assisted engineering practices across the SDLC. Core work is hands-on coding and system design in languages like Rust, Java, Go, or C++.
A Lead Technical Program Manager in JPMorgan Chase's Commercial & Investment Bank Technology Group, driving delivery of complex technology programs — planning, risk management, budgeting, and cross-functional stakeholder alignment — using tools like Jira/Confluence and enterprise AI, with payments and financial services experience preferred. Onsite in Jersey City, NJ.
Lead Software Engineer on JPMorgan Chase's CDAO AI/ML Data Platform team, building and operating secure, 24x7 tier-1 online data services. Day to day involves hands-on coding, code reviews, system design, and technical guidance using Rust, Java, Go, or C++, with preferred exposure to the OLAP stack (DataFusion, DuckDB, Arrow Flight SQL).
Bring your Expertise to JPMorgan Chase. As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by…
Lead Software Engineer at JPMorgan Chase's Asset & Wealth Management Marketing team, leading engineers to design, build, and run secure Java 21/Python services on cloud-native infrastructure (Spring Boot, Kafka, Kubernetes, AWS), while driving AI-assisted development practices, automation, and operational stability.
A senior engineering manager role in JPMorgan Chase's Commercial and Investment Bank Trade Finance team, leading multiple squads that design, build, and operate Java-based platforms for high-volume transactional and batch workloads. Day to day involves architectural oversight, coaching engineers, owning delivery across squads, and working with Java, microservices, event-driven messaging, and hybri
Senior Lead Architect in JPMorgan Chase's Enterprise Risk Technology team, shaping target-state information and data architecture for risk applications. Day to day: drive data governance/strategy, represent products in architecture governance, guide engineering teams, and apply enterprise AI to architecture workflows.
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