Currently tracking 305 active AI roles, up 16% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $153k–$285k (avg $226k).
JPMorgan Chase has 448 active AI-related job listings. The majority of these roles, 55%, are focused on agents, with application roles making up another 17%. The dominant function for these positions is Engineering, with a significant number of roles also in Product. The company is primarily hiring in the United States, followed by the United Kingdom and India. Frequent tech tags include agent_orchestration, llm_observability, and model_serving. In the last 30 days, JPMorgan Chase posted 275 new AI roles, representing a 76% increase compared to the previous 30-day period.
JPMorgan Chase currently has 450 active AI-related roles in our index. The most common open titles are: Lead Software Engineer (6), Applied AI ML Director (5), Applied AI ML Lead (4), Applied AI ML-Vice President (4), Applied AI ML-Senior Associate (3). Most positions are in Engineering and Product.
JPMorgan Chase's active AI hiring is concentrated in: agents (56%), application (17%), serving infrastructure (10%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
JPMorgan Chase is hiring AI talent in: United States (306 roles), United Kingdom (71 roles), India (52 roles), Singapore (12 roles).
Job postings at JPMorgan Chase most frequently reference: agent orchestration, llm observability, model serving, rag, fine tuning.
In the past 30 days, JPMorgan Chase has posted 236 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Quantitative Trading & Research – Global Clearing – Vice President Quantitative Researcher (VP) at JPMorgan Chase focusing on Derivatives Modelling, Financial Engineering, and Data Science to enhance risk and pricing analytics for the Clearing business. The role involves leading the design, delivery, and governance of models, including Initial Margin methodology, and applying machine learning to transform risk management and automation. Responsibilities include end-to-end initiative leadership, model ownership, building and productionizing analytics, and leading ML/AI solution development. | ShipData | 7 |
| Lead Security Engineer - AI/ML 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. |
| AgentEval Gate |
| 7 |
| Machine Learning Engineer – Document Digitization (LLMs)-Vice President 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. | AgentData | 7 |
| AI Control Manager – Senior Associate This role focuses on managing AI controls within a financial institution, involving technical risk assessments of AI/ML use cases, evaluating model design, data quality, and potential failure modes. The manager will also develop and implement AI governance frameworks, policies, and control standards, and perform deep-dive technical reviews of AI solutions. The role requires strong Python skills, understanding of ML concepts, and the ability to translate complex AI technical concepts for non-technical stakeholders. Experience with GenAI/LLMs and financial services is preferred. | Eval GatePost-train | 7 |
| Senior Associate -Applied AI ML -Digital 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. | Agent | 7 |
| Applied AI/ML - Senior Associate 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. | Agent | 7 |
| WFP Lead Data Scientist - Vice President Lead Data Scientist for Workforce Planning at JPMorgan Chase, focusing on developing and deploying AI/ML models for forecasting, capacity planning, and scheduling. The role involves full model lifecycle management, project leadership, stakeholder collaboration, and mentoring junior team members, with an emphasis on moving towards real-time inference and decision-making. | Post-train | 7 |
| Lead Software Engineer - AI/ML Deep Learning & GPU ML Serving Lead Software Engineer focused on AI/ML Deep Learning and GPU ML Serving within a Commercial and Investment Banking team. Responsibilities include designing, developing, and troubleshooting software solutions, writing production code, producing architecture artifacts, analyzing data, and optimizing deep learning models for inference. The role requires experience with ML systems, Python, ML frameworks, cloud technologies (Docker, Kubernetes), ML model serving frameworks, GPU workloads, low-latency systems, and NoSQL databases. Experience with GPU resource management and microservices architecture is also needed. Preferred qualifications include an advanced degree, proficiency in multiple programming languages, experience with graph neural networks, GPU programming, model monitoring, MLOps tools, and serving large-scale models. | Serve | 7 |
| Software Engineer III - AI/ML Deep Learning & GPU ML Serving Software Engineer III at JPMorgan Chase focused on AI/ML Deep Learning and GPU ML Serving. The role involves developing, testing, and troubleshooting software solutions, writing production code, producing architecture artifacts, analyzing data, and optimizing deep learning models for production inference. Key responsibilities include deploying and managing GPU workloads in Kubernetes, building scalable, low-latency systems, and partnering with product teams. Requires formal training/certification, 3+ years of applied experience, proficiency in Python and ML frameworks, experience with cloud technologies (Docker, Kubernetes, EKS), ML model serving frameworks, GPU workloads in Kubernetes, and NoSQL databases. Familiarity with modern microservices architecture and leading large-scale system design is also needed. Preferred qualifications include an MS/PhD, Java proficiency, experience with graph neural networks, GPU programming, model monitoring, MLOps tools, and serving large-scale models. | Serve | 7 |
| Quantitative Trading & Research – Credit Portfolio – Associate 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. | Agent | 7 |
| Principal Software Engineer - High Performance Computing Principal Software Engineer focused on High-Performance Computing (HPC) to optimize AI/ML model training and inference. The role involves creating scalable coding frameworks, developing production code, advising cross-functional teams, and publishing patterns for ML model optimization on various architectures. Requires deep experience in HPC, accelerators, deep learning (LLMs), and AI/ML frameworks, with a focus on performance and scalability for financial services. | ServeData | 7 |
| AI Analytics Solutions Manager 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. | AgentServe | 7 |
| Data Scientist Associate - APAC Payments Data & Analytics 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. | Agent | 7 |
| Lead Software Engineer - AI/ML, Java / Python 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. | Agent | 7 |
| Lead Software Engineer - AWS - Lead AI/ML Platform Engineer Lead Software Engineer focused on building and deploying AI/ML platform infrastructure on AWS for model deployment at scale within a financial institution. The role involves developing APIs for automated retraining, scheduling, endpoint deployments, and autoscaling, as well as implementing model monitoring solutions, with a specific emphasis on LLM monitoring and automated issue correction. The engineer will also engage with clients for support and contribute to disaster recovery and multi-region capabilities. | ServeEval Gate | 7 |
| Principal Software Engineer Principal Software Engineer at JPMorgan Chase within Corporate Technology, focusing on building and enhancing Machine Learning platforms for deploying predictive models at scale. The role involves architecting, designing, and integrating solutions within a large enterprise environment, establishing standards for the ML Platform, and optimizing ML libraries and frameworks. Requires expertise in Java & Spring Boot, ML frameworks, Big Data technologies (Spark, Hadoop), and cloud platforms (Azure, AWS, Databricks). | ServePost-train | 7 |
| Sr Lead Software Engineer - Java & Databricks 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. | Agent | 7 |
| Senior Manager of Software Engineering - Machine Learning & Cloud Senior Manager of Software Engineering for Machine Learning & Cloud within the Corporate Technology - Consumer & Community Bank Risk group at JPMorgan Chase. The role involves leading a team of 10, mentoring technical teams, and driving the development and productionization of ML models using cloud services and MLOps practices. Responsibilities include technical leadership, code development, troubleshooting, and managing ML pipelines. | ServeData | 7 |
| Lead Software Engineer 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. | Agent | 7 |
| Lead Software Engineer 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. | Agent | 7 |
| Lead Software Engineer 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. | Agent | 7 |
| Data Science Senior Associate - Card Data & Analytics team 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. | AgentPost-train | 7 |
| Sr Lead Software Engineer-Role DS Senior Lead Software Engineer at JPMorgan Chase focused on building and enhancing technology products. The role involves providing technical guidance, developing secure production code, influencing product design, and acting as a subject matter expert. Requires experience in machine learning, NLP, training/fine-tuning LLMs, transformer architectures, and deploying AI systems, with proficiency in Python, TensorFlow, or PyTorch. Experience with scalable distributed systems, cloud-native environments, and security protocols is also necessary. | Post-trainServe | 7 |
| Software Engineer II - Applied AI 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. | AgentPost-train | 7 |
| Lead Software Engineer - Python AWS GenAI Lead Software Engineer to build and maintain production-grade ML pipelines and infrastructure at enterprise scale for JPMorgan Chase's MLCOE. This role focuses on designing, developing, and deploying end-to-end ML systems, from data ingestion to serving outputs, with a strong emphasis on AWS services, CI/CD, and performance monitoring. | ServeData | 7 |
| Lead Software Engineer- (Python) Lead Software Engineer role focused on building and deploying production-grade machine learning pipelines and systems at enterprise scale within JPMorgan Chase's ML Center of Excellence. The role involves designing, developing, and maintaining software, engineering data pipelines, feeding data into ML models, and deploying complete systems into production environments with a focus on scalability and reliability. | ServeData | 7 |
| Applied AI ML Lead - Java / Python 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. | Agent | 7 |
| AIOps Lead Software Engineer 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. | AgentServe | 7 |
| AI Platform Engineer, Python - Lead Software Engineer 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. | AgentEval Gate | 7 |
| Senior Lead Software Engineering - Python, Cloud, AI ML Senior Lead Software Engineer role focused on building and deploying ML solutions into production within an enterprise environment. The role involves creating cloud-based frameworks for hosting ML models, integrating AIML solutions, and ensuring production readiness. Requires strong Python and AWS skills, collaboration with Data Scientists, and experience with the full model development lifecycle. | ServeAgent | 7 |
| Home Lending Data & Analytics – Applied AI/ML Engineer - VP 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. | AgentPost-train | 7 |
| Applied AIML, Sr Associate 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. | Agent | 7 |
| Senior Lead Software Engineer - Python / Java 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. | AgentServe | 7 |
| Director of Security Engineering 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. | Agent | 7 |
| Compliance - Applied AI/ML Lead - Vice President 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. | Post-trainData | 7 |
| Applied Artificial Intelligence & Machine Learning Engineer - Vice President 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. | Ship | 7 |
| Applied Artificial Intelligence & Machine Learning Engineer - Associate 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. | Ship | 7 |
| Lead Software Engineer - Full Stack AI/ML 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. | AgentData | 7 |
| Risk Management - Model Risk Program Associate 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. | ShipAgent | 7 |
| Compliance - Quant Modeling Senior Associate (Fair Lending) - Associate 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. | Post-train | 7 |
| Data Scientist Lead 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. | Agent | 7 |
| Vice President-AI Cognitive Engineer Lead 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. | AgentEval Gate | 7 |
| Modeling Centre of Excellence: Forecasting_ Analyst 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. | Post-train | 7 |
| Modeling Centre of Excellence: Forecasting_ Associate 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. | Post-train | 7 |
| Applied AI ML Associate - Payments Operations 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. | Ship | 7 |
| Applied AI ML Senior Associate - Payments - Commercial and Investment Bank 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. | Ship | 7 |
| Lead Software Engineer - GenAI, AWS, Java/Python 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. | Agent | 7 |
| Lead Software Engineer – Python, AIML, Cloud 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. | ServePost-train | 7 |
| Lead Software Engineer - Applied AI/ML Python Engineer 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. | ServeAgent | 7 |
| User Experience Design, Vice President - AI for CIB Operations 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. | Agent | 7 |