Senior Manager of Architecture role within Core Engineering Services at JPMorgan Chase, focusing on architectural governance, technical coaching, and driving best practices across infrastructure, platform, and cloud-native capabilities. The role involves leveraging modern cloud and AI-enabled engineering approaches, influencing target-state architecture, and communicating technical details to executives. Key responsibilities include providing architectural leadership, coaching mid-level architects, managing cross-functional collaboration, identifying risks, and advancing cloud/platform architecture. Experience with financial services, cloud-native solutions, and AI tools in engineering workflows is required.

Lead Technical Program Manager for AI/ML Data Platforms within JPMorgan Chase's Chief Data & Analytics Office. This role focuses on managing complex technology programs related to data platforms, including Databricks and Snowflake, and cloud-native data solutions on AWS. The position requires strong program management, agile delivery, technical fluency in data architectures, and understanding of data governance and compliance in an enterprise setting. While the role supports AI/ML initiatives, its core function is program management of the underlying data infrastructure.

Senior Lead Software Engineer with a focus on Python development within Cybersecurity Technology & Controls. The role involves architecting and deploying scalable solutions on AWS, developing secure code, and acting as a subject matter expert in areas like AI-powered agents and data automation pipelines. The engineer will influence the use of cutting-edge technologies such as LLMs, AI frameworks, and vector databases, and integrate AI/LLM-based services to build intelligent automation components.

This role supports advanced analytics projects for AML KYC operations within a fintech company. The primary focus is on developing and reporting performance metrics, analyzing customer journeys, and enhancing production reporting. While the role leverages AI-powered tools like LLMs and Copilot and requires familiarity with AI concepts, it does not involve building or shipping AI models directly. The role is customer-facing and aims to improve business function performance and provide self-service tools.

Senior Product Associate role at JPMorgan Chase in Fintech, focusing on product development and optimization using user research, data analysis, and cross-functional collaboration. The role involves identifying product opportunities, defining requirements, and tracking product health metrics, with an emphasis on leveraging AI tools for efficiency.

This role focuses on designing and validating fraud strategies and capabilities within the fintech domain. It involves data analysis, leveraging analytics and AI/ML tools to improve fraud detection, and partnering with product, technology, and operations to develop solutions. The primary output is a fraud strategy that balances risk mitigation, financial performance, customer experience, and operational efficiency, fitting into a shipped product context.

This role serves as a Technology Risk and Controls Lead for a portfolio of applications, providing expertise in risk identification, remediation guidance, and reporting. It requires experience in assessing technology risks for AI/ML solutions and managing risk frameworks within a corporate environment.

Lead Infrastructure Engineer focused on ATM and branch technology, responsible for engineering and automation of infrastructure platforms. The role involves designing and developing resilient, secure, and efficient solutions, leveraging automation frameworks like Ansible and AaaS, and utilizing AI tools and LLMs to enhance development workflows and automate operations.

This role is a Business Initiatives Manager within JPMorgan Chase's Commercial & Investment Bank, focusing on the Client360 platform. The role involves converting strategy into execution for initiatives that improve operational effectiveness and business adoption, partnering with product and technology teams. It operates within the Data, Digital & AI division, implementing data- and AI-enabled commercial solutions and tracking progress. The manager will support business leaders, engineering, and operations, ensuring outcomes are measurable and aligned with program objectives. Key responsibilities include supporting initiative development and execution, participating in program planning and risk management, contributing to business initiatives from ideation to implementation, coaching junior team members, collaborating with various teams, defining business experiences, supporting foundational business processes, establishing KPIs, leveraging analytics (including ML/AI) for insights, understanding internal team needs, and utilizing business initiatives for personalized client experiences and streamlined operations, while supporting regulatory compliance.

Software Engineer I at JPMorgan Chase within the Model Risk Governance & Review (MRGR) team, focused on developing tools for MRGR Analytics to improve efficiency and reduce duplication of effort. The role involves building dashboards, translating business requirements into applications (primarily Python/Athena), integrating LLMs into existing systems for automation and decision-making, and collaborating with cross-functional teams. Experience with full-stack development, Python, and integrating ML models (including LLMs) is required.

Software Engineer III role focused on building frontend AI-enabled user experiences and improving engineering velocity using AI developer tools. The role involves designing and developing reusable React components, high-performance UIs, and integrating Generative AI features, while emphasizing correctness, security, and quality. It's a pure frontend position within the Securities Services team at JPMorgan Chase.

Lead Software Engineer for JPMorgan Chase's Wholesale Credit Risk Technology Analytics Team, focusing on implementing critical technology solutions, developing secure production code, and identifying automation opportunities. Requires Python and Java proficiency, agile methodology knowledge, and cloud-native experience. LLM Engineering experience is preferred.

This role is for a Technology Operational Risk Management Lead within JPMorgan Chase's Consumer and Community Banking (CCB) line of business. The primary focus is on independent oversight of technology and cybersecurity operational risk management practices. Key responsibilities include conducting risk assessments, evaluating controls, and developing data-driven approaches using agentic AI and advanced analytics for risk identification and control assessment. The role requires collaboration with various technology and business teams, and engagement with stakeholders to manage identified risks within the firm's Operational Risk Management Framework. Experience with AI/ML tools, AI governance, and ethical considerations is also required.

This role focuses on operationalizing the management framework for a scaling AI/ML organization within a financial services context. The Business Operations Manager will lead strategy, design operating models, drive alignment, and ensure effective execution and governance for AI initiatives, aiming to transform how value is delivered to customers and the business.

This role supports the execution of customer experience (CX) strategies for Card & Connected Commerce businesses, focusing on integrating CX principles, translating customer insights into actionable solutions, and using analytics tools (including AI-driven ones) to improve customer journeys and resolve pain points within the financial services domain.

This role focuses on building measurement frameworks and analytics to quantify improvements in developer productivity and technology efficiency, particularly in the context of GenAI-assisted development. The Data Scientist will analyze complex datasets, develop models to attribute impact, and create reports to influence investment decisions within JPMorgan Chase.

Experience Design Vice President at JPMorgan Chase focused on shaping user experience for Small Business Credit Card products. This role involves leading early-stage discovery through delivery, developing design strategies, creating artifacts like journey maps and roadmaps, and collaborating with cross-functional teams. The role requires experience in inclusive design, accessibility, and leveraging AI tools in the design workflow. Experience in financial services and regulated industries is preferred.

Product Manager for JPMorgan Chase's Payments Data & Analytics team, focusing on developing and launching AI-powered analytics and forecasting products for Fortune 500 Treasury teams and CFO organizations. Requires 5+ years of product management experience, strong understanding of the product development lifecycle, data analytics, and AI/ML concepts for forecasting use cases, with a background in B2B payments or treasury.

This role is accountable for data in AI/ML products, focusing on data quality, governance, and ensuring data is AI/ML ready. The Data Owner collaborates with various teams to understand data needs, identify sources, manage dependencies, and publish data to central platforms, ultimately enabling faster innovation through data.

This role focuses on developing data-driven solutions for Connected Commerce, leveraging quantitative analytics and Gen AI skills like LLM calling and prompt engineering. The role involves end-to-end development of analytical solutions, including data pipelines and modeling, using cloud technologies and Python. The primary output is the application of these AI skills to optimize commercial transactions and enhance customer experience within the financial services industry.

This role focuses on applying AI/ML techniques, including LLMs, for credit risk analysis and reporting within a financial services context. The responsibilities include performing financial analysis, building dashboards, improving data quality, and using AI/ML for anomaly detection and trend summarization, while adhering to governance and regulatory expectations.

Senior Director of Software Engineering to lead a global technology organization with end-to-end build-and-run ownership of a strategic case management, workflow/task orchestration, and automation platforms utilized across the CIB. The platform supports more than 10,000 users and is engineered to a 99.99% uptime target, enabling critical daily operations and client service through event-based intake (exceptions and email), integration with systems of record, automation through AI capabilities, and robust audit trails, controls and analytics.

Lead Software Engineer role at JPMorgan Chase focused on designing and developing secure, high-quality production code for market surveillance and data processing systems. Requires expertise in big data, cloud platforms, and database programming, with a focus on batch processing and CI/CD. The role involves mentoring engineering teams and driving architectural decisions. Familiarity with LLMs and AI coding assistants is mentioned.

This role focuses on designing and developing learner-centered experiences using multimedia formats, partnering with stakeholders to translate complex content into engaging learning solutions. It emphasizes end-to-end design process ownership, including prototyping, iteration, timeline management, and impact measurement. The role encourages exploring emerging tools and technologies, including AI-assisted design, to innovate learning experiences.

The role focuses on automation and data analytics within the Compliance, Conduct, and Operational Risk (CCOR) organization at JPMorgan Chase. It involves project management of automation initiatives, identifying opportunities for process improvements and AI integration, and enhancing controls, surveillance, and reporting. While the role seeks to adopt AI and GenAI tools, its core function is not the development or research of AI models but rather the application of automation and existing AI tools to improve compliance workflows.

Lead Software Engineer (VP) for a Machine Learning and Intelligence Operations Virtual Agent Assist team, focusing on enhancing the call center agent experience through real-time guidance, workflow automation, and intelligent decision support. The role involves designing and delivering end-to-end full-stack features using Java, Spring Boot, REST APIs, and modern UI frameworks, building secure production services, leading technical design discussions, and implementing automation and monitoring. Requires strong Java, Spring, REST, React, SQL, and CI/CD experience, with preferred experience in AWS and generative AI patterns.

Senior Lead Software Engineer in JPMorgan Chase's Payments Trust and Safety Technology group, focusing on Fraud Protection. The role involves building cloud-native applications on AWS, automating infrastructure, developing secure code, and monitoring performance. A key aspect is utilizing AI agents and emerging technologies to build prototypes for demonstration and to accelerate prototyping with tools like GitHub Copilot. The role requires experience in high-volume, low-latency transactional systems within the financial services industry.

This role supports process improvement initiatives by leveraging AI, process mining, and data analysis to identify opportunities for simplification, reduce manual touch points, and drive digital transformation. The associate will analyze data, craft narratives, and collaborate with diverse teams to achieve common goals, contributing to operational excellence and risk mitigation.

Develop and enhance quantitative models for wholesale credit risk measurement, credit loss estimation, and stress testing. Implement numerical methods and high-performance computing solutions, analyze large datasets, and apply machine learning techniques within a financial services context. The role requires collaboration with business, finance, and technology teams, and communication with senior stakeholders and regulators.

This role leads a team focused on process improvement using data mining, simulation modeling, and AI-enabled analytics within a financial services context. The primary focus is on analyzing operational workflows and driving business transformation through data-driven insights and recommendations.

The role focuses on automating executive reporting and driving adoption of Tableau, leveraging AI/LLM tools for tasks like automated narrative summaries and anomaly detection. It involves integrating data from various marketing tools, establishing scorecards, and leading user education programs. The primary output is enhanced reporting and data visualization for business insights.

This role focuses on developing, refining, and maintaining quantitative models, including time series forecasting, econometric, and machine learning models, for Home Lending Finance at JPMorgan Chase. The Senior Associate will ensure alignment with firm's model risk guidelines and regulatory requirements, collaborate with stakeholders, and potentially introduce new technologies. The role requires a Master's degree in a quantitative field and 5+ years of experience, with proficiency in Python and SQL.

This role focuses on driving data, analytics, reporting, and intelligent automation within Risk Operations at JPMorgan Chase. The lead will own solutions end-to-end, including design, development, deployment, and continuous improvement of scalable reporting and automation. Key responsibilities include developing data workflows, deploying RPA and intelligent automation, managing automation governance, and identifying AI/ML use cases. The role requires strong SQL, Python, Alteryx, and Tableau skills, along with experience in intelligent automation platforms like UiPath or Microsoft Power Platform.

Technology Operational Risk Management Director responsible for second line of defense oversight of technology and cybersecurity/technology operational risk for Commercial and Investment Bank Markets lines of business. Advises senior technology leaders on firm modernization, transformation to modern engineering practices, evaluates risk posture against modernization roadmaps, Agentic AI adoption, and proactively reviews change activity.

This role is responsible for owning and managing the end-to-end AI use case book of work within Trade and Working Capital at JPMorgan Chase. The lead will interface with business functions to enable AI product development, commercialization, and productivity applications, translating business needs into technical requirements and driving delivery from ideation to value realization. The role also involves leading prioritization, championing AI literacy, linking priorities to firmwide initiatives, and partnering on data and infrastructure roadmaps.

Product Director for AI Infrastructure Platforms at JPMorgan Chase, focusing on strategy and delivery of platforms for model training, inference, and experimentation across various environments (public cloud, on-premises, edge). The role involves driving adoption, managing hardware investments, and navigating regulatory demands in a highly regulated financial institution.

This role is a Product Lead for AI use cases within Trade and Working Capital at JPMorgan Chase. The individual will own the AI use case book of work, translate business needs into technical requirements, and drive end-to-end delivery. They will interface with business functions and central AI/data science/technology teams, lead prioritization, champion AI literacy, and ensure alignment with firmwide AI initiatives and governance. The role requires strong business acumen in financial services, experience managing AI pipelines, and stakeholder management skills.

Lead a Buenos Aires-based team supporting business-critical technology services, transitioning towards a modern operating model with SRE and responsible AI usage. Focus on coaching, automation, and improving reliability.

Software Engineer II role focused on multi-cloud environments (GCP, Azure), leveraging emerging AI/ML technologies for innovation and efficiency. Responsibilities include developing secure code, contributing to product design, advocating for firmwide frameworks, and influencing the use of AI/ML solutions. Requires 3+ years of experience in software engineering with GCP, proficiency in Terraform and Python, and knowledge of cloud-native architectures and SDLC. Preferred qualifications include experience with AI-assisted development tools and AI platforms.

This role focuses on model validation and governance within JPMorgan Chase's Risk Management and Compliance organization. The analyst will evaluate the conceptual soundness, assumptions, inputs, testing, numerical robustness, and performance metrics of various models used in financial forecasting and business decisions. The role requires strong quantitative skills, experience with statistical/econometric models, proficiency in Python/R, and a deep understanding of financial products and regulatory stress testing.

Lead Software Engineer focused on building and productionizing cloud-based ML pipelines and owning MLOps workflows within a financial services context. Requires strong software engineering, cloud, and ML infrastructure skills.

The Chief Data and Analytics Office (CDAO) Strategy team at JPMorgan Chase is seeking a Vice President to drive strategy development, monitor industry trends, and increase internal awareness related to data and AI in financial services. The role involves managing strategic initiatives, developing executive-level documents, and collaborating with senior leaders to enable business outcomes through AI and data.

Develops and maintains complexity modeling and end-to-end forecast modeling for marketing campaigns, leveraging statistical and machine learning methods for analysis, forecasting, and business strategy optimization. Focuses on predictive modeling, data modeling solutions, and forecasting techniques.

This role focuses on shaping data strategy and management practices within a financial institution to ensure data is trustworthy, accessible, and AI-ready. The Vice President will lead initiatives to modernize data practices, drive adoption of standards, and launch scalable data products and platforms, ultimately enabling trusted data for analytics, reporting, and AI use cases.

Lead Technical Program Manager for AIML Data Platforms within JPMorgan Chase's Chief Data & Analytics Office. This role focuses on managing complex, cross-functional technology programs related to data and AI/ML platforms, ensuring alignment with strategic goals, managing resources, and driving continuous improvement. The role requires strong technical program management skills, agile methodologies, and an understanding of modern data architectures and cloud platforms.

Lead Software Engineer role at JPMorgan Chase focused on backend Java development within the Consumer & Community Banking organization. The role involves designing, developing, and troubleshooting technology solutions, with a focus on secure, stable, and scalable delivery. Responsibilities include writing and reviewing code, identifying automation opportunities, leading vendor evaluations, and driving communities of practice for new technologies. Requires 5+ years of Java experience, Spring Boot, REST API, Kafka, and cloud infrastructure knowledge, with a demonstrated proficiency in AI tools like Co-Pilot and LLMs, and in-depth knowledge of the financial services industry.

Product Owner role focused on AI transformation within loan trading platforms, involving defining and prioritizing the AI backlog, leading stakeholder discovery, identifying and prototyping AI solutions (LLMs, predictive flagging, assistants), and ensuring UX quality. Requires 5+ years in product management/BA in financial services, experience with AI tools for automation and prototyping, strong requirements gathering, Excel, and Agile/Scrum skills.

Project Manager III supporting the Global Head of Data Platforms and Artificial Intelligence (DP&AI) at JPMorgan Chase. This role focuses on strategic technical program management, resource allocation, budget management, and driving transformative change within the technology organization. The individual will partner with senior leadership to align projects with strategic goals, oversee operations, and ensure adherence to governance and compliance standards. The role requires experience in financial services or technology, strong project management skills, and an aptitude for using AI tools like LLMs and Copilot.