JPMorgan Chase

Software Engineer III role focused on building AI agentic platforms and model serving infrastructure on AWS, integrating LLM APIs, and developing backend services using Python. The role involves working with various AWS services, implementing message queuing, and contributing to deployment pipelines.

JPMorgan Chase is seeking an Applied AI Machine Learning Vice President for their International Consumer Bank (ICB) Risk Modelling team in London. The role focuses on developing and managing machine learning models to mitigate identity verification fraud. Responsibilities include defining roadmaps, researching and adopting state-of-the-art and vendor models, ensuring model performance and governance, supporting synthetic data initiatives, and collaborating with various partner teams to meet regulatory requirements.

Applied AI ML Engineer Associate at JPMorgan Chase within the Consumer & Community Banking Machine Learning team. The role focuses on applying LLM-based methods, building and scaling software/ML platforms, and developing AI agents with tool integration and RAG solutions. Responsibilities include driving innovation, architecting ML models, ensuring scalability, and promoting quality and security in production environments.

Product Director leading the strategy, roadmap, and execution of AI-powered document solutions, leveraging technologies like OpenAI and AWS Bedrock, and focusing on agentic implementations. The role involves overseeing the product life cycle, managing stakeholders, and driving measurable business results within JPMorgan Chase's Consumer & Community Banking Operations Product organization.

Software Engineer III role focused on building and enhancing full-stack, cloud-native applications that integrate IoT data and LLM/generative AI capabilities for automation and workplace experiences. Responsibilities include software execution, production code, design artifacts, full-stack development, integrating AI/IoT features, data analysis, and troubleshooting. Requires strong system design, Java proficiency, experience with LLMs/generative AI productization, distributed systems, cloud platforms, microservices, and IoT architectures.

JPMorgan Chase is seeking an Applied AI ML-Vice President to join their Consumer & Community Banking Machine Learning team. This role focuses on applying LLM-based methods to enhance, build, and deliver trusted market-leading technology products. Responsibilities include applying technical judgment, evaluating performance, ensuring solutions are reliable, secure, and scalable, improving data quality, monitoring models in production, and iterating to reduce agent effort and improve operational workflows. The role requires experience in building and scaling software/ML platforms, ML frameworks, ML Ops, AI Agents, tool integration, and RAG-based solutions.

Product Director role focused on AI Orchestration within JPMorgan Chase's Marketing Product Portfolio. The role involves leading the strategy, requirements, and execution for transforming traditional business processes into agentic AI solutions, orchestrating end-to-end workflows. Responsibilities include driving use case definition, product roadmaps, collaborating with ML/AI teams, and influencing the AI technology stack.

Lead Applied AI/ML role focused on building and productionizing LLM-based solutions for sales engagement optimization within a financial services context. Requires strong Python, NLP, and deep learning framework expertise, with experience in cloud deployment.

Seeking a Quantitative Research Associate to design, build, and deploy AI, LLM, and generative AI agent-based tools for credit portfolio management and trading. The role involves exploring ML techniques for market-making and optimization, leveraging data for opportunities, and automating reporting and hedging strategies. Requires advanced degree, 4+ years of quant experience in fixed income/credit, hands-on AI/ML/LLM application experience in financial markets, Python skills, and strong analytical abilities.

Lead Data Scientist at JPMorgan Chase within Cybersecurity and Technology Controls, responsible for developing and deploying Machine Learning solutions for security use cases like fraud and threat detection. The role involves data analysis, model development, feature engineering, model governance, and producing secure production code, with a focus on Generative AI, transformer architectures, and responsible AI practices.

Product Manager role focused on defining strategy and delivery for AI-driven products and autonomous agents, leveraging LLMs and agentic orchestration within a large financial institution. Responsibilities include identifying use cases, owning product strategy and roadmaps, leading cross-functional teams, and communicating with senior stakeholders to launch AI-enabled products end-to-end.

Software Engineer III - AI/ML Engineer at JPMorganChase within the AI For Technology group, responsible for delivering AI/ML projects through the ML development life cycle using Agile methodology. The role involves transforming business requirements into AI/ML specifications, designing and developing production AI/ML solutions, and creating secure, high-quality production code. Familiarity with agentic workflows and expertise in areas like LLMs, NLP, Knowledge Graph, Computer Vision, Speech Recognition, RL, Ranking/Recommendation, or Time Series Analysis is required.

Lead Software Engineer role focused on integrating AI/ML techniques, including LLMs and Generative AI, into production software systems within a financial services context. The role involves leading a team, architecting solutions, and developing secure, scalable AI-driven software.

Lead Software Engineer for AI/ML Data Platforms at JPMorgan Chase, focusing on building production-grade AI/ML applications and Generative AI agents. The role involves advancing experiments, developing scalable platforms, and ensuring operational stability, primarily serving AI Research and MLCoE teams within a fintech domain.

This role focuses on developing and launching innovative credit risk analytics products within a banking context, leveraging AI/ML, LLMs, and automation. The VP will lead the end-to-end product lifecycle, architect platforms, integrate advanced risk models, and collaborate with cross-functional teams. Key responsibilities include product ideation, user story mapping, MVP definition, launch, and iteration, with a strong emphasis on data-driven, scalable, and regulatory-compliant solutions. The role involves hands-on experience with Python/PySpark, cloud technologies, and agile methodologies, and a solid understanding of credit risk and banking products.

Product Associate role at JPMorgan Chase focused on designing, launching, and optimizing AI-powered financial payments sales experiences using agentic AI, user research, and advanced analytics. Responsibilities include identifying product opportunities, defining requirements, analyzing metrics, and championing responsible AI practices.

This role focuses on applying and scaling AI/ML solutions, particularly LLM-based methods and AI Agents, within a financial services context. The engineer will build and scale ML platforms, ensure solutions are reliable and secure, and contribute to production model monitoring and iteration.

Executive Director leading a team of AI/ML scientists to build and deploy advanced geospatial, graph-based, and network optimization models for branch network strategy. The role involves stakeholder management, translating innovations into production solutions, establishing best practices, and overseeing model validation and monitoring within a regulated financial services environment.

JPMorgan Chase is seeking a Vice President to lead the strategic vision and execution of AI/ML and Agentic AI initiatives within their Client 360 Technology Organization. This role involves defining the Data Science agenda, steering modeling and analytical efforts, and collaborating with various business and technology partners to leverage data insights and create business value. The position requires deep data science expertise, strong quantitative skills, and leadership abilities to build and manage global analytical teams.

Quantitative Trading & Research team at JPMorgan Chase seeks an Associate/Vice President to apply AI/ML techniques, including LLMs and sequential decision-making models, to transform business operations in Securities Services, Payments, and CIB Treasury. The role involves end-to-end project management, from data architecture to model development and stakeholder presentations, focusing on revenue growth and efficiency.

Principal Software Engineer at JPMorgan Chase within the Finance Technology team, responsible for building scalable applications using Generative AI to drive innovation and business value. Requires expertise in software engineering, Data Mesh architecture, and cloud-native practices.

Lead Data Scientist role focused on building GenAI applications, virtual assistants, and workflow automations using multi-agent AI patterns within the Payments domain. Responsibilities include translating business problems into end-to-end AI solutions, designing prompts, and driving iterative development and production monitoring of these solutions.

Machine Learning Engineer - Senior Associate at JPMorgan Chase focused on designing, developing, and maintaining AIOps solutions. The role involves integrating AI/ML capabilities, particularly LLM techniques like Agents, Planning, and Reasoning, into software applications. Experience with Ranking, Recommender systems, RAG, and Agent systems is required, along with strong Python programming and cloud platform skills.

JPMorgan Chase is seeking an Applied AI/ML Senior Associate to analyze business problems, experiment with state-of-the-art models, and develop machine learning and deep learning solutions. The role involves developing end-to-end ML/AutoML/AutoNLP pipelines, operationalizing ML models for use cases like Document Q&A, Search, Information Retrieval, classification, and personalization. The candidate will build batch and real-time prediction pipelines, collaborate with various teams for production deployment, and work with LLMs and Gen AI solutions.

Senior Director of Software Engineering at JPMorgan Chase leading the enterprise data platform strategy, focusing on data engineering, governance, AI enablement, and agent-based workflow automation. The role involves owning the platform roadmap, ensuring security, compliance, and scalability, and enabling teams to leverage trusted data products and responsible AI.

Quantitative Trading & Research team at JPMorgan Chase seeks an Associate/VP to apply AI/ML techniques, including LLMs and sequential decision making, to transform business operations in Securities Services, Payments, and CIB Treasury. The role involves end-to-end project management, from data processing and analysis to model development and presenting commercial recommendations.

Lead Security Engineer focused on AI/ML security, red teaming, and adversarial resilience for generative AI, RAG pipelines, and ML systems within a large enterprise. Responsibilities include developing security strategies, designing secure architectures, reducing vulnerabilities, conducting threat modeling, and implementing AI red teaming methodologies.

Machine Learning Engineer (VP) at JPMorgan Chase focused on designing, developing, and deploying AI-powered document digitization solutions using LLMs and generative AI. The role involves managing the end-to-end ML lifecycle, building scalable pipelines on AWS, and ensuring security and compliance within a financial services context.

Seeking an AI engineer to develop and productionize NLP models and services for bank operations, focusing on end-to-end projects and scalable data pipelines.

This role focuses on integrating AI/ML capabilities into software applications, with a key focus on AIOps. The candidate will design, develop, and maintain these applications, collaborate with cross-functional teams, and implement AI/ML models into production. Experience with LLM techniques, agents, RAG, recommender systems, and large datasets is required.

Build AI agentic workflows and machine learning models for risk monitoring, signal generation, and forecasting in a quantitative trading environment. Develop real-time data pipelines and deliver actionable insights to traders and risk partners.

JPMorgan Chase is seeking an AI Analytics Solutions Manager with 6+ years of experience in AI/ML development, GenAI, and LLMs. The role involves hands-on coding for production solutions, owning end-to-end code development, and implementing AI strategies. Requires experience with AI/ML frameworks (TensorFlow, PyTorch), cloud AI services, Python/R, and advanced prompting strategies. Experience with NLP, computer vision, and deploying models in production is preferred. The role focuses on integrating AI technologies, ensuring scalability, performance, security, and implementing technology risk controls within a regulated financial environment.

JPMorgan Chase is seeking a Data Scientist Associate for their APAC Payments Data & Analytics team. The role focuses on delivering high-impact AI & Analytics use cases, driving data strategy, and creating data-driven products for clients and internal partners. Responsibilities include exploring money movement, forging partnerships with stakeholders, identifying and integrating Agentic AI workflows, and collaborating with product managers. Requires 4+ years of experience in Data Science, Analytic Solutions, and GenAI/Agentic AI use cases, with expertise in data platforms (Databricks, PySpark, Tableau) and cloud platforms (AWS). Familiarity with LLMs, prompt engineering, and RAG/MCP integrations is essential. Experience in payments or consulting is preferred.

Lead Software Engineer on the Transformative AI Team at JPMorgan Chase, focused on building an Agentic Private Bank using GenAI and LLMs. The role involves designing, developing, and deploying AI solutions, including prompt-based models and data pipelines, within a financial services context.

Executive Director to lead the strategy and adoption of agentic AI within JPMorgan Chase's Open Banking business unit. This role involves defining the roadmap from experiment to scale, establishing governance frameworks, ensuring responsible deployment in a regulated financial services environment, and driving cross-functional alignment. The focus is on improving speed and customer experience through agentic AI applications.

Senior Lead Software Engineer role focused on developing intelligent agent-based systems and optimizing data pipelines on Databricks, leveraging Java and Python. The role involves designing, training, and deploying AI agents, mentoring team members, and collaborating with cross-functional teams in an enterprise environment with AWS cloud experience.

Lead Software Engineer role focused on designing and building critical technology solutions for Chase AI components, including agentic systems, using LLMs/SLMs. Requires strong software engineering experience, proficiency in Java/Python, cloud technologies (AWS), API design, and practical understanding of LLM patterns like function calling, RAG, and guardrails. The role emphasizes building secure, high-quality production code and contributing to agentic solutions.

This role is for an Experience Design Vice President focused on conversational AI (chat/voice) within JPMorgan Chase's financial services domain. The primary responsibility is to shape the user experience of virtual assistants and chatbots by leading design initiatives, developing conversational flows, and advocating for user-centered design. The role involves collaboration with cross-functional teams, mentoring junior designers, and driving the strategic vision for conversational AI, with a focus on NLU and LLM integration.

Lead Software Engineer at JPMorgan Chase within the Consumer & Community Banking (CCB) division, responsible for designing and building critical technology solutions across Chase AI components, including Chase Agent, Agent Operating Memory, Domain Agents, Agentic Experience Service, and Assurance. The role requires hands-on experience building agentic systems using LLMs/SLMs and proficiency in various programming languages and cloud technologies.

Lead Software Engineer role focused on designing and building critical technology solutions for Chase AI components, including agentic systems, using LLMs/SLMs. Requires strong software engineering experience, proficiency in Java/Python, cloud technologies (AWS), API design, and practical understanding of LLM patterns like function calling, RAG, and guardrails. The role emphasizes building secure, high-quality production code and contributing to agentic solutions.

Develop AI/ML solutions for the Credit Card business, focusing on applying foundation models and Generative AI. Responsibilities include defining business problems, scoping solutions, implementing and evaluating GenAI-based methods, and collaborating with stakeholders. Requires experience with GenAI, prompt engineering, and LLM-enabled applications.

Software Engineer II - Applied AI at JPMorgan Chase in London. This role focuses on developing and deploying advanced machine learning models and generative AI applications/agents, with a strong emphasis on MLOps, AWS deployment, and integrating user feedback for self-improving systems. The role involves architecting AI solutions, analyzing data, ensuring scalability and reliability, and staying updated on AI advancements.

Lead Applied AI ML role focused on delivering AI/ML solutions, including LLMs and Generative AI, within a financial services enterprise. Requires strong software engineering background in Java/Python and experience with AI/ML techniques.

Executive Director role focused on leading large-scale business transformation within Servicing Operations, with a strong emphasis on leveraging AI, agentic capabilities, and LLMs to drive operational efficiencies and reshape future work practices. The role involves defining strategy, orchestrating initiatives, leading change, and ensuring compliance in a highly regulated environment.

Lead Software Engineer for AIOps and GenAI solutions within a financial services technology team. Focuses on designing, deploying, and automating AI-driven solutions to enhance system reliability, performance, and incident response. Responsibilities include building RAG pipelines, vector databases, LLM integrations, and agentic workflows, while ensuring regulatory compliance and mentoring engineers on AI adoption.

Lead Software Engineer focused on building and shipping AI-powered features, including prompt design, function calling, and implementing safety guardrails and LLM usage logging. The role involves developing secure, high-quality production code for AI applications and leading evaluation sessions for model capabilities.

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.

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.