JPMorgan Chase

Lead Software Engineer for Data Engineering role focused on building an AI/Agentic AI layer for a Data Products platform. This involves architecting and developing autonomous agents for data product lifecycle management, leveraging NLP, RAG, Vector Databases, and multi-agent orchestration. The role also requires hands-on technical leadership, mentoring a team, and ensuring scalability, security, and best practices for enterprise-grade data platforms.

Lead the end-to-end lifecycle of AI and ML models for trade surveillance, driving strategic enhancements and innovation using advanced analytics, machine learning, and LLMs. This role involves model development, deployment, monitoring, recalibration, and leveraging GenAI/LLM tools to optimize surveillance processes and operational efficiencies within a regulated financial environment.

Lead Software Engineer in Payment Technology team at JPMorgan Chase, responsible for enhancing, building, and delivering technology products. The role involves driving business impact through technical expertise, problem-solving, and developing secure, high-quality production code. A key focus is on designing, developing, and integrating agent-based systems and LLMs within Java applications, requiring practical cloud-native experience and knowledge of the financial services industry.

Lead Software Engineer at JPMorgan Chase within the consumer and community banking technology team, responsible for driving the architecture, design, and delivery of enterprise-scale platforms and solutions. This includes leading engineering teams, shaping technical strategy, and championing innovation across full-stack development, cloud-native ecosystems, and emerging technologies including Generative AI. The role involves designing and implementing Agentic AI and Generative AI solutions, integrating LLMs, AI agents, and intelligent automation into enterprise platforms, and collaborating with AI/ML teams to bring these capabilities to production at scale.

Applied AI/ML Lead at JPMorgan Chase in Asset & Wealth Management, focusing on developing and productionizing end-to-end AI/ML solutions for business needs. Requires strong Python, ML techniques, and NLP experience.

This role focuses on modernizing Business Intelligence (BI) by integrating AI, specifically LLMs, to create AI-driven BI as a core enterprise capability. The goal is to move beyond descriptive and predictive analytics towards prescriptive insights, operationalizing conversational analytics and building AI assistants within BI workflows. The role involves partnering with senior leadership, owning the BI lifecycle, architecting semantic layers, and driving adoption of AI-enabled BI solutions.

Lead Software Engineer focused on Cloud DevOps and AI, responsible for designing and implementing CI/CD pipelines, infrastructure-as-code, and container orchestration, with a strong emphasis on integrating AI/ML for automation, intelligent monitoring, and agent-based workflow optimization within cloud environments.

Lead Software Engineer on the AI/ML & Data Platforms team, focusing on building AI agents to enhance the software development lifecycle, designing secure Data Lake solutions in AWS, and optimizing deployment processes with Terraform and Python.

JPMorgan Chase Private Bank is seeking a Vice President, Human-AI Experience Design to shape user experiences for next-generation agentic platforms for clients and advisors. This role involves defining end-to-end Human-AI experiences, shaping interaction patterns, leading user research, embedding responsible AI principles, and translating AI capabilities into intuitive and trustworthy workflows. The ideal candidate will have 5+ years of UX design experience, with 3+ years in AI-focused product design or human-AI interaction, and a strong understanding of AI/ML fundamentals and responsible AI concepts.

AI/ML Engineer role focused on designing, implementing, and deploying AI/ML services for Wholesale Payments Operations. The role involves applying AI/ML techniques for NLP and document understanding, prompt engineering, and designing agentic systems, with a strong emphasis on production-grade solutions and cloud infrastructure.

Senior Director role leading the application of AI, specifically agentic and automation-driven solutions, to transform the management and operation of Mainframe and Midrange Compute platforms within a financial services company. The role involves defining AI strategy, building and scaling an engineering team, implementing agentic AI solutions for infrastructure automation, and ensuring alignment with risk, security, and regulatory requirements.

Product Director role focused on defining and driving AI and agentic product strategy for enterprise operations, leveraging LLMs, RAG, and agentic pipelines to improve operational outcomes. Requires leadership in product management, cross-functional team collaboration, and delivery of AI-enabled products at scale within a large, complex organization.

This role involves translating business objectives into AI-powered technical solutions for investment research. The associate will own the full solution lifecycle, from requirements gathering to shipping production services and iterating on them. Key responsibilities include building systems that surface insights from various data sources using LLMs, Generative AI, agentic systems, and AWS. The role emphasizes practical business impact and collaboration with business and technology partners.

Senior Lead Site Reliability Engineer role focused on building AI-powered automation systems, intelligent monitoring, and next-generation reliability platforms. The role involves designing and building AI Agents for autonomous operations, integrating various data stores including vector databases, and developing automation scripts. Requires expertise in SRE principles, observability, and AI frameworks like LangChain.

This role provides second-line-of-defense (2LoD) independent oversight for JPMorgan Chase's Chief Data & Analytics Office (CDAO) Product and Platform organization, focusing on Data/AI platforms, model onboarding, and agentic systems. The Director will develop and execute review strategies across the AI technical supply chain, ensuring compliance with risk appetite and regulatory expectations. Responsibilities include assessing risks in data flows, integrations, access controls, logging/traceability, and data residency, challenging remediation efforts, and overseeing governance for GenAI and agentic systems.

Lead Infrastructure Engineer (GenAI) at JPMorgan Chase, focusing on leveraging GenAI and agentic AI for cloud infrastructure cost optimization. The role involves developing, implementing, and evangelizing AI-driven solutions and intelligent agents to automate cost management and improve efficiency across on-premises and cloud environments. Responsibilities include leading the development of GenAI agents for cost optimization, discovering opportunities using AI models, architecting automation runbooks, and guiding stakeholders on cost-effective decisions.

Data Science Vice President at JPMorgan Chase within the Card Data & Analytics team, responsible for developing and implementing AI/ML solutions, including Generative AI and foundation models, to drive strategic initiatives and business impact within the credit card business. The role involves end-to-end problem-solving, from translating business questions to building models and communicating insights.

Lead Software Engineer role focused on building agentic AI systems and LLM-based solutions within a large enterprise. Requires strong software engineering skills, cloud-native experience (AWS), and hands-on experience with LLMs, agent orchestration, tool use, retrieval, and safety mechanisms. Experience with Databricks and modern data pipelines is also expected.

Executive Director to architect and operationalize the AI strategy for Image as a Service, focusing on embedding AI to reduce toil, improve reliability, and drive adoption of AI within image engineering and SRE domains. The role involves leading the development of an infrastructure digital twin, establishing a use case governance framework, and standardizing AI tooling. This is an individual contributor role with significant indirect leadership.

This role focuses on designing and executing data-driven control testing within financial services, specifically for client onboarding and documentation. It involves building and productionizing AI/ML solutions, including Generative AI, for risk detection, continuous monitoring, and regulatory compliance. The role also emphasizes automating testing processes, operationalizing alerts, and partnering with various teams to ensure explainability and auditability, with a strong focus on regulated environments.

Lead Software Engineer role focused on building a NextGen orchestration platform using AI capabilities, specifically AI Agents, RAG pipelines, and LLM APIs, within the Fraud Technology team at JPMorgan Chase.

Product Manager (VP level) for JPMorgan Chase's Personalization & Customer Insights Team, focusing on ML-powered personalization and next-best-action capabilities. The role involves driving strategy and execution for LLM/ML models, agentic solutions, and supporting MDLC infrastructure across various channels. Requires experience in product management, AI-powered product delivery, data products for agentic assistants, and ML-driven personalization.

Senior Director of Software Engineering leading the adoption and scaling of agentic AI-enabled engineering and SDLC/TLM automation within a large enterprise, focusing on responsible AI standards, governance, and operational efficiency.

This role is for a Vice President of AI for Product within JPMorgan Chase's Open Banking team. The primary focus is to evangelize, strategize, and drive the adoption of AI, particularly generative AI and agentic AI, to enhance work efficiency, accelerate product innovation, and deliver measurable results. The role involves building an AI knowledge lab, training the team, measuring AI usage, and staying updated on AI trends to identify opportunities for the product team. While not directly building AI models, the role is centered around the strategic implementation and adoption of AI tools and agentic systems within the product development lifecycle.

Lead Software Engineer responsible for designing, developing, and deploying enterprise applications and AI/ML-enabled features using Java, Spring Boot, and Python. The role involves full lifecycle development of AI/ML solutions, including integration, orchestration, and evaluation, with a focus on production readiness and scalability within a regulated environment.

This role focuses on developing and deploying AI/ML models to automate complex processes, improve decision-making, and provide predictive insights within an enterprise setting. It involves analyzing large datasets, creating dashboards, and ensuring compliance with regulations, particularly in tax operations. The role also includes leveraging NLP for document data extraction and modeling business decision logic.

Senior AI Product Manager at JPMorgan Chase in Fintech, focusing on driving AI adoption, designing agentic workflows, and managing AI-powered products within Wholesale Lending Services. Requires significant product management and AI experience, with a deep understanding of prompt engineering and agentic workflows.

This role is for a Senior Manager of Software Engineering focused on AI/LLM capabilities within the Consumer and Community Banking Core Platform Engineering team. The manager will provide technical coaching and advisory for multiple software engineering teams building AI-enabled capabilities, evolving towards agentic and workflow-based solutions. Responsibilities include leading design and implementation, establishing AI development strategies (LLM integration, evaluation, prompt management, orchestration, safe deployment), managing priorities, driving cloud-native practices on AWS, and promoting strong engineering fundamentals. The role requires experience leading technologists, hands-on experience with Java/Python, and working knowledge of AI/LLM development, including AI coding assistants and enterprise guardrails.

Senior Lead Software Engineer role focused on building a NextGen orchestration platform using advanced AI capabilities, specifically AI agents and RAG pipelines, within the Fraud Technology team at JPMorgan Chase. The role involves technical leadership, secure code development, and leveraging Java & AWS.

Product Manager for Data and AI at JPMorgan Chase, focusing on Knowledge Management and enabling RAG and agentic workflows. Responsible for driving product vision, strategy, and the end-to-end product management lifecycle for AI use cases within the Chief Data & Analytics Office.

This role focuses on developing and implementing data-driven strategies and machine learning models to prevent digital fraud in fintech. The associate will analyze large datasets, identify trends, reduce losses, and enhance customer experience by collaborating with cross-functional teams and presenting insights to senior leadership.

Product Owner for an AI-powered Knowledge Management system, focusing on improving self-service, reducing contact volumes, and boosting agent productivity through search, conversational experiences, and intelligent content. The role involves defining strategy, prioritizing roadmaps, leading cross-functional teams, and ensuring AI readiness of knowledgebases. Key responsibilities include driving agentic AI use cases, managing enterprise knowledge governance, and partnering with legal, risk, and operations for safe scaling.

Product Manager for an AI Platform at JPMorgan Chase, focusing on building and scaling a production entity data platform. The role involves owning the end-to-end product lifecycle for resolving millions of organizational records into a single, trusted global universe of entities and producing an arbitrated 'golden profile'. Responsibilities include developing product strategy, managing the product backlog, defining requirements for entity resolution and attribute arbitration, and leading delivery of entity resolution at scale using a balance of deterministic rules and ML-assisted matching. The role also involves introducing AI- and agent-assisted processing patterns and partnering with engineering, applied ML, and other stakeholders.

Lead Software Engineer focused on developing and deploying AI-powered solutions within the SAP Business Technology Platform (BTP) ecosystem. The role involves identifying AI use cases, building agentic AI capabilities, implementing solutions like RAG and intelligent document processing, and defining AI adoption frameworks, with a strong emphasis on SAP BTP services and MLOps practices.

Product Manager for AI and autonomous agents team focused on automating operations and workflows within Corporate and Investment Bank. Role involves setting strategy, leading researchers and engineers, and managing the product lifecycle for agentic AI pipelines.

Product Associate role focused on developing and deploying AI/ML models for authentication and identity verification within a financial institution. The role involves understanding user journeys, identifying opportunities for AI/ML solutions, and translating business requirements into technical solutions using advanced modeling techniques like transformers and graph neural networks. Collaboration with data scientists and engineers is key, as is ensuring model performance, scalability, and compliance.

Develops and implements LLM-based solutions, including RAG agents and agentic AI systems, with a focus on data analysis, model tuning, and evaluation metrics within a fintech domain.

Lead Software Engineer focused on building cloud platforms that integrate AI agents and LLM-powered tools to enhance developer productivity and automate platform operations. The role involves designing and developing secure, scalable cloud infrastructure, driving DevEx, and implementing AI/ML integrations.

Software Engineer III role focused on building agentic AI solutions within a large enterprise environment. Requires proficiency in Python/Java, system design, cloud technologies (AWS), and containerization. Familiarity with agent frameworks (LangGraph, Autogen), LLM evaluation tools, and model training/inference technologies is preferred.

Lead Software Engineer focused on building agentic AI systems, including multi-agent orchestration, tool-use chains, planning/reasoning loops, and memory architectures. Requires strong foundation in distributed systems, API design, microservices, event-driven architectures, and cloud platforms. Experience with LLMs, prompt engineering, fine-tuning, and evaluation is preferred.

Lead role in designing and delivering AI/ML solutions for data management and governance challenges within a large enterprise. Focuses on building prototypes, collaborating with business and engineering teams, and staying current with AI/ML research.

Lead Software Engineer role focused on integrating AI/ML techniques, including LLMs, Generative AI, NLP, RAG, and AI evals, into software systems. Requires experience with agentic workflows and frameworks, and managing/mentoring AI/ML teams. The role emphasizes hands-on delivery of production-grade solutions within a fintech domain.

This role focuses on applying AI and data science, particularly LLMs, to enhance research methodologies and automate workflows within JPMorgan Chase's Global Research Center. The specialist will collaborate with analysts to identify opportunities for data-driven insights and workflow automation, ensuring data integrity and adhering to regulatory standards.

Lead Software Engineer, Vice President, to build a new AI-powered, promoter-based forecasting and planning platform for CIB Finance. The role involves hands-on engineering, architecture, and decision-making to deliver secure, resilient, and scalable software solutions. Responsibilities include designing and implementing LLM- and agent-based capabilities, building data/compute workflows on AWS and Databricks, and developing user-facing experiences with JavaScript/TypeScript and React. Requires strong experience in software engineering, cloud-native solutions on AWS, LLMs and agentic systems, Databricks, and modern web applications.

Senior Principal Cybersecurity Architect at JPMorgan Chase focusing on developing AI-enabled cybersecurity solutions, products, and models for the Consumer & Community Banking (CCB) line of business. The role involves advising on strategy, translating technical issues, driving adoption of new methods, creating reusable frameworks, and developing architectures for agentic systems, with a strong emphasis on cloud-native security, A2A security, and evaluating emerging technologies.

Software Engineer III role focused on designing, developing, and maintaining backend services for AI and Agentic AI applications using Python. The role involves building and integrating agentic frameworks (Langgraph, Langchain, Autogen, Google ADK) for autonomous marketing solutions, developing APIs for AI-driven workflows, and deploying applications on AWS.

Lead Software Engineer role focused on building AI-powered automation and IoT solutions, integrating LLM capabilities into business workflows and smart building systems. Requires strong full-stack development, system design, and experience with LLMs, generative AI use cases (RAG, agents, orchestration, evaluation/guardrails), and cloud-native microservices.

This role focuses on building and deploying predictive models and AI-enabled solutions, including LLMs, to drive business strategy and improve sales productivity within the JPMorgan Private Bank. The role involves end-to-end model lifecycle management, from data analysis and prototyping to production deployment and integration with business processes.