Applied AI/ML Engineer (VP) at JPMorgan Chase, focused on Home Lending Data & Analytics. The role involves designing, implementing, deploying, and scaling AI-powered solutions, with a focus on generative AI technologies, LLMs, RAG, and Agents. Responsibilities include writing production code, fine-tuning models, integrating solutions, and managing the code lifecycle. The role requires a Master's degree and 7+ years of experience in AI/ML and data analytics.

JPMorgan Chase is seeking a VP-level Technical Product Manager to drive the development and rollout of a next-generation, AI-native digital onboarding platform. The role requires end-to-end product ownership, strong technical fluency, and an AI-first approach to reduce onboarding friction through intelligent capabilities. The platform aims to be modular, configurable, and scalable across products and geographies, with a focus on measurable outcomes and responsible AI implementation.

Lead the development and management of agentic AI solutions and an AI workbench for intelligent automation within JPMorgan Chase's Client360 platform, focusing on product development, operational transformation, and stakeholder engagement in a financial services context.

Senior Associate role focused on applying AI/ML to complex problems within a financial services firm. Responsibilities include designing, developing, and productionizing end-to-end AI/ML solutions, with a focus on NLP and various machine learning techniques. The role involves stakeholder engagement, research, documentation, and coaching.

Product Manager role focused on delivering enterprise AI/LLM-powered search capabilities within a financial services context. The role involves supporting product strategy, defining features, and overseeing the integration of technologies like RAG, Agents, SFT, and RLHF, while ensuring scalability, security, and regulatory compliance.

Senior Lead Software Engineer with Python/Java expertise in a fintech environment, focusing on cloud-based systems and AI-driven solutions. The role involves developing production code, implementing RAG-based semantic search and LLM inference workflows, and serving as a subject matter expert in cloud deployment and AI technologies.

Director of Security Engineering leading a global team to build and operate security platforms, including an AI-powered security copilot for risk identification and remediation, and firm-wide endpoint/server anti-virus capabilities. Focus on embedding security by design and delivering automated security outcomes.

Lead Applied AI/ML role focused on developing and deploying models and analytical methods for compliance and risk management within a financial institution. Requires strong experience in Python, R, Scala, machine learning, statistical models, and specifically graph analytics and databases. The role involves data pipeline development, working with structured and unstructured data, and preparing technical documentation for governance review.

This role is for an Applied AI/ML Engineer (VP level) at JPMorgan Chase, focusing on developing and delivering AI solutions for Commercial & Investment Banking Payments. The engineer will collaborate with cross-functional teams to boost operational efficiency and drive business innovation using AI/ML technologies, managing the code lifecycle from development to production.

Applied AIML Engineer at JPMorgan Chase, focused on developing and delivering AI-driven payments solutions for Commercial & Investment Banking. The role involves coding, cross-functional collaboration, and end-to-end code lifecycle management, with a minimum of 2 years of AIML project delivery experience.

Quantitative Equity Researcher (VP) at JPMorgan Asset Management, focusing on developing novel alpha signals and enhancing return forecasting models using advanced statistical, econometric, and machine learning techniques on large datasets. The role involves research in portfolio construction and risk management, translating insights into investment strategies, and collaborating with technology teams for model integration.

This role focuses on quantitative research within Wealth Management, developing and maintaining models for asset allocation, portfolio construction, risk management, and performance attribution. It involves applying statistical and machine learning techniques to large datasets and collaborating with portfolio managers and other stakeholders. The role requires strong Python programming skills and a background in quantitative fields.

Lead Software Engineer focused on building AI-enabled features for Data Center Services, including anomaly detection, capacity planning, NLP, and knowledge retrieval. Requires strong full-stack experience with Angular and NodeJS, and understanding of AI/ML concepts.

This role focuses on validating and governing AI/ML models, including Generative AI and LLMs, within a financial services context. The associate will conduct independent model validation, assess adherence to development standards, identify risks, and communicate findings. A key responsibility is designing, building, and testing LLM-based use cases to improve internal processes, involving prompt engineering, RAG architectures, and agentic AI systems. The role requires a strong quantitative background, experience in model validation or development, proficiency in Python and ML libraries, and experience with Generative AI applications.

This role focuses on applying quantitative modeling and statistical analysis to ensure fairness and compliance in line-of-business models, including traditional, ML/AI, and Gen AI models, within a regulated financial environment. The primary goal is to detect and mitigate bias to comply with Fair Lending Laws and regulations.

Data Scientist Lead at JPMorgan Chase focusing on designing and implementing ML solutions using LLMs for ESG and Stewardship functions. The role involves content extraction, search, and principal-based reasoning, with a strong emphasis on building evaluation packages and production-quality code. Requires advanced Python, NLP, and LLM expertise, with preferred knowledge in financial markets and ESG.

This role focuses on engineering multimodal human-AI systems that optimize decision-making, information flows, and human-agent interactions by applying principles of cognitive engineering and human factors. The engineer will conduct cognitive task analyses, translate insights into requirements for AI agents and decision support tools, model human cognitive states, and design/evaluate cross-modal systems, with a focus on trust calibration and cognitive fit. Experience with evaluating multimodal AI/ML systems is required.

Vice President for AI Products in APAC CDAO at JPMorgan Chase, responsible for supporting the development, deployment, and scaling of AI-powered products, including Gen AI and agentic AI offerings. The role involves collaborating with cross-functional teams, contributing to product roadmaps, and ensuring solutions are secure, compliant, and aligned with global and regional objectives, with a focus on prompt engineering, agentic workflow design, and meeting data sovereignty, localization, and compliance requirements.

Develops and industrializes quantitative methodologies and predictive models using statistical and machine learning techniques in R/Python for financial planning and forecasting within a large financial institution. The role involves data analysis, model development, documentation, and interaction with model governance.

Develops quantitative methodologies and predictive/explanatory models using statistical and machine learning techniques in R/Python for financial planning and forecasting within a large financial institution. The role involves data analysis, model development, documentation, and interaction with model governance.

Associate role focused on developing, deploying, and monitoring machine learning applications and models within the Payments Operations team at JPMorgan Chase. The role involves identifying automation opportunities, processing multimodal data, building ML models, and ensuring their productionization and evaluation, with a strong emphasis on translating business needs into technical solutions and managing projects from inception to production.

Senior Associate role focused on applying and deploying ML solutions within JPMorgan's Commercial & Investment Bank, specifically in Payments Operations. The role involves researching, developing, and scaling ML capabilities, collaborating with engineering teams for deployment, and communicating results to stakeholders.

Lead Software Engineer focused on Generative AI and Agentic frameworks within JPMorgan Chase's Asset and Wealth Management division. The role involves developing and implementing GenAI solutions, architecting complex AI models, utilizing Java/Python, React/Angular, and AWS, and working with LLM models and agentic tools. Emphasis on system design, testing, operational stability, and agile methodologies for AI projects.

Vice President, APAC AI Strategy & Enablement role focused on developing and executing the region's AI strategy, identifying and commercializing high-value AI use cases, and ensuring responsible and compliant deployment of AI solutions within a financial services environment. The role involves partnering with business stakeholders, contributing to AI roadmaps, and translating business requirements into technical solutions, with a strong emphasis on data governance and regulatory adherence.

Product Director for a new AI/ML-centric fraud risk product at JPMorgan Chase, focusing on defining strategy, roadmap, and delivering capabilities for fraud detection and prevention. The role involves working with AI/ML, potentially agentic workflows and LLMs, within a regulated fintech environment.

Lead Software Engineer with expertise in Python and AWS to engineer and deploy ML solutions into production, build cloud-based frameworks for hosting ML models, and integrate ML solutions into complex operational systems. Collaborates with Applied AI/ML group and Data Scientists.

Lead Software Engineer role focused on integrating AI/ML solutions within a financial institution. The role involves developing robust APIs, services, and libraries, architecting cloud infrastructure, and implementing MLOps best practices. Collaboration with Data Scientists and Line of Business teams is key, with a focus on deploying and scaling AI/ML capabilities.

This role focuses on designing and developing Conversational AI chat tools and natural language interfaces for Operations Teams within JPMorgan Chase's CIB Operations. The Vice President Experience Design Lead will shape user experiences, lead strategic initiatives, and collaborate with AI/ML engineers and product managers to integrate user-centered design into AI-driven solutions, aiming to enhance efficiency and employee experience.

This role focuses on designing, developing, and implementing AI-based tools, models, and agents to streamline workflows and improve decision-making within the Securitized Products Group at JPMorgan Chase. The strategist will collaborate with various internal partners, lead AI solution adoption, and ensure compliance with regulatory requirements.

Lead Software Engineer for an MLOps team in a financial institution, focusing on designing, building, and deploying scalable AI/ML solutions, including LLM-powered microservices and generative AI applications. The role involves end-to-end development, monitoring, and maintenance of AI/ML models and systems in a production environment.

Software Engineer III - AI - Chase UK role focused on building an advanced Agent Assist platform for contact centre agents. Responsibilities include designing, implementing, and deploying ML models, automating workflows, optimizing performance, and integrating AI solutions with enterprise platforms like Salesforce and AWS. The role involves a 30% innovation focus on researching and prototyping new features.