Top AI & Machine Learning Jobs

Lead design and delivery of backend systems that embed AI-native capabilities (LLM features, agentic workflows). Build secure, high-quality production Java microservices, optimize performance, drive AI-assisted engineering practices, participate in architecture reviews, mentor juniors, and ensure operational stability and testing/validation standards.

Design, develop, deploy, and maintain advanced AI products and data pipelines. Collaborate with engineers, data scientists, and product owners to deliver production-grade, secure, scalable code. Architect AI-enabled engineering workflows, improve SDLC automation, ensure compliance, and provide technical leadership and architecture governance.

Lead architecture and implementation of scalable, secure engineering frameworks and production code for data-intensive and LLM-based systems. Design and govern agentic AI, RAG/embedding pipelines, model serving, observability, and cloud-native platforms. Mentor engineers, set engineering standards, advise stakeholders, and drive adoption of AI-enabled development practices and responsible AI controls in regulated financial environments.

Hands-on senior IC to build and scale an AI-native, code-first design system: create tokens, components, documentation, AI agents, middle-layer integrations, and high-quality accessible front-end code. Prototype, ship agentic automations, establish APIs and tooling, and partner with designers and engineers to embed the system across products and workflows while raising visual, interaction, and performance standards.

Lead end-to-end delivery of document extraction and NLP solutions for payments: design scalable model pipelines, develop extraction/classification models, define evaluation and lifecycle practices, ensure compliance and explainability, and partner with cross-functional stakeholders to productionize and monitor ML systems.

Lead design and delivery of secure, scalable data-intensive and LLM-based production systems. Build agentic AI, RAG/embedding pipelines, model serving, observability, and automation; mentor engineers; drive AI-assisted development governance and SDLC best practices.

Lead credit-risk analytics for consumers and small businesses using large payment/customer data sets. Build attributes and models, deliver executive-ready insights, monitor emerging risks, prioritize high-impact projects, and identify GenAI opportunities to modernize analytics.

Lead adoption of agentic AI across product teams by building AI-powered tools, automations, dashboards, and playbooks. Coach teams, prototype and implement workflows, measure adoption and outcomes, and partner with leaders to embed AI-enabled practices while maintaining governance and risk awareness.

Lead firmwide technology strategy for Data & AI, build partnerships with cloud and infrastructure vendors and the venture ecosystem, drive innovation adoption, evaluate and scale new technologies, raise internal awareness of Data & AI opportunities, support client-facing business development and strategic investments, and influence senior stakeholders to align partner roadmaps with JPMC objectives.

Build and operate agentic AI solutions for Client360: design, implement, test, deploy, and support services, workflows, integrations, and automation. Collaborate with architecture, engineering, platform, and operations to enable scalable, reliable, auditable agent-led workflows, contribute to CI/CD, monitoring, runbooks, KPIs, and risk/control-aligned delivery.