Jobs at JPMorganChase

Designs, develops, and troubleshoots secure, scalable ML software systems and services. Builds production code, architecture artifacts, APIs, and distributed microservices; analyzes data to improve applications and system architecture. Uses AI-assisted development tools responsibly, validates generated outputs, and guides peers on secure engineering practices. Requires Python and ML framework expertise, cloud-native technologies, public cloud experience, distributed systems knowledge, and Cassandra or equivalent NoSQL experience. Preferred experience includes GPU workloads, model serving, distributed inference, model compression, and edge deployment.

Designs, develops, and troubleshoots secure, scalable ML systems and services. Builds production software in Python using ML frameworks, cloud-native technologies, distributed systems, microservices, and NoSQL databases. Creates architecture artifacts, analyzes large datasets, improves system reliability and performance, and uses AI-assisted development tools responsibly. Preferred experience includes GPU workloads in Kubernetes, model-serving frameworks, distributed inference, model compression, and edge deployment.

Leads software engineering for JPMorganChase’s Payments technology organization. Designs, develops, tests, reviews, debugs, and operationalizes secure, scalable Java and cloud-native applications using microservices, Kafka, AWS, and PostgreSQL. Provides technical direction, serves as a subject matter expert, influences architecture and operations, and promotes enterprise software development practices. Drives responsible adoption and governance of AI-assisted engineering tools, including validation for correctness, performance, security, and compliance.

Manage complex payments client relationships as a trusted advisor to treasury and finance stakeholders. Drive retention, product adoption, relationship growth, deal realization, account planning, business reviews, credit usage monitoring, compliance, and cross-functional coordination across sales, product, service, onboarding, credit, and corporate banking teams.

Leads enterprise data management and data engineering strategy across financial services domains. Directs multiple teams, drives AI adoption with human validation and sensitive-data controls, establishes governance for AI-assisted workflows, and aligns senior stakeholders across business and technology. Oversees complex projects involving system design, testing, resiliency, security, auditability, observability, data quality, lineage, and operational stability. Develops talent and influences delivery across a highly matrixed organization.

Manages a portfolio of business banking clients, acquiring and retaining relationships while providing customized deposit, cash management, credit, and financial solutions. Identifies new business opportunities, assesses client needs and risks, coordinates referrals to internal specialists, conducts client meetings, and supports assigned branches. Ensures portfolio profitability, delivers strong client experiences, follows regulatory requirements, and applies sound risk management practices.

Build scalable payment-focused user interfaces, dashboards, analytics services, and web applications. Collaborate with Product, UX, customers, and engineering teams to gather requirements, finalize designs, develop prototypes, implement user stories, and deliver responsive, accessible, high-performance experiences. Develop backend support, data visualizations, real-time analytics integrations, authentication, OCR and AI-driven solutions while meeting legal, company, and compliance requirements.

Build and manage influential civic, policy, advocacy, and community stakeholder relationships across Northern California or the assigned region. Develop cross-functional engagement and policy communication strategies, represent the firm at external events, organize executive forums, activate thought leadership, manage strategic grants, and analyze investments to support business, policy, and community priorities.

Sell and grow payments business within the Regulated Gaming segment by developing new and existing client relationships, driving cross-sell opportunities, coordinating with internal product, legal, risk and implementation teams, managing RFP/RFI and proposal processes, and ensuring compliance and AML/KYC risk management.

Lead the design, development, and operation of an enterprise GenAI serving platform. Build high-throughput LLM inference, gateway, routing, GPU optimization, quantization, distributed serving, and observability capabilities. Establish reliability practices, SLOs, performance benchmarks, cost controls, and secure production standards. Drive adoption of agentic AI-enabled engineering workflows with governance, auditability, and human validation while influencing senior stakeholders and enabling reusable platform components across teams.

Lead technology risk and controls management for foundational platforms. Identify, quantify, report, and mitigate operational, compliance, and cybersecurity risks; evaluate control effectiveness; manage issues and governance; and advise technology stakeholders and senior leaders. Use authorized AI tools to synthesize evidence and develop reporting while validating outputs for security, auditability, data sensitivity, and regulatory compliance. Drive continuous control improvements and cross-functional collaboration.

Leads complex, cross-functional technology programs on the ServiceNow platform. Responsibilities include developing strategic plans, managing resources, budgets, timelines, risks, dependencies, and stakeholders; validating AI-assisted program outputs; driving process improvements; establishing governance and decision-making procedures; and delivering executive-ready roadmaps, reporting, and recommendations across global operations.

Drive go-to-market execution for JPMorgan’s agentic commerce payments platform. Coordinate marketing, communications, partnerships, events, sales enablement, and commercial workstreams; support campaigns, content, executive events, demos, merchant recruitment, pipeline creation, and adoption. Track market, competitive, buyer, and partner trends while reporting performance metrics and ensuring regulatory, governance, and operational requirements are addressed.

Leads a global technology support team serving strategic Payments and Global Banking clients. Responsibilities include service health monitoring, incident and problem management, service recovery, onboarding and implementation support, client escalations, risk and controls governance, executive reporting, and cross-regional stakeholder alignment. The role also establishes governance for AI-assisted production support workflows, ensuring human validation, data protection, traceability, auditability, and regulatory alignment.

Manages and expands strategic payments relationships with eCommerce, marketplace, gig economy, technology, and other platform clients. Develops pipeline, sells tailored payments solutions, grows revenue and deposits, expands wallet share, and maintains portfolio profitability. Builds senior client relationships, prepares proposals and presentations, coordinates cross-functional delivery, develops account strategies, analyzes competitive positioning, and coaches sales associates and client managers while supporting global opportunities.

Leads strategy, discovery, roadmap planning, backlog management, product requirements, and execution for digital payments onboarding and KYC platforms. Acts as product owner for scrum teams, tracks product metrics, and collaborates with business, technology, operations, risk, legal, compliance, vendors, clients, and senior leaders to deliver scalable digital experiences.

Leads software engineering efforts for JPMorgan Chase’s Consumer & Community Banking organization. Provides technical direction, develops and reviews secure production code, influences application design and technical operations, and serves as a subject matter expert. Drives adoption and governance of AI-assisted engineering practices, automation, testing, code review, troubleshooting, and responsible AI controls across teams. Requires strong software development, system design, cloud-native, operational stability, and technical leadership experience.

Supports payment product development by conducting user research, analyzing customer and market insights, evaluating product metrics, mapping journeys, and contributing to strategic roadmaps. Partners with Product Managers and cross-functional teams to identify opportunities, assess feature impacts, define requirements, and write epics and user stories throughout the product development lifecycle.

Leads hands-on architecture and implementation of production-grade generative AI systems, including search, conversational AI, and agentic workflows. Designs retrieval pipelines, orchestration, dialogue management, and scalable backend systems while optimizing latency, reliability, observability, cost, and evaluation. Serves as the senior technical authority for LLM-powered applications, establishes engineering standards, conducts design and code reviews, mentors engineers, and partners with product and business stakeholders. The role requires deep software engineering, AWS, distributed systems, and regulated-environment experience.

Supervise Wealth Management financial advisors through account and book reviews, risk analysis, regulatory oversight, and escalation management. Monitor productivity, identify compliance issues and customer-impacting trends, refine review processes, update procedures, and ensure adherence to securities regulations and fiduciary requirements. Lead staff development, performance evaluations, recruiting, and retention while partnering with senior leaders and review teams to resolve complex issues. The role requires direct engagement with advisors and clients and travel up to 50% of the time.