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 |
|---|---|---|
| Applied Machine Learning Scientist - Vice President Lead the development and deployment of scalable, production-grade advanced ML solutions, focusing on Generative AI capabilities like RAG and agentic systems for complex workflows in a fintech environment. Responsibilities include designing, building, fine-tuning, and evaluating LLMs, with a strong emphasis on production constraints, safety, and responsible AI usage. | AgentPost-train | 9 |
| Applied AI ML Researcher Director Lead the development and deployment of next-generation autonomous AI agents for a financial institution, focusing on automating complex operations and scaling solutions across the organization. This role involves architecting GenAI solutions, mentoring teams, and ensuring production-readiness. | Agent |
| 9 |
| Generative AI Executive Director Executive Director role focused on architecting and delivering production LLM-based systems and agentic workflows for financial tasks at JP Morgan Chase. This role emphasizes shipping AI products at enterprise scale with measurable ROI, bridging research with robust engineering. | ShipAgent | 9 |
| Applied AI ML Researcher Director JPMorgan Chase is seeking an Applied AI ML Researcher Director to lead the development of next-generation autonomous agents for the financial industry. This role involves architecting and deploying agentic AI solutions, mentoring a team, and ensuring scalability and reliability in a production environment. The focus is on bridging cutting-edge theory with enterprise-grade systems. | AgentServe | 9 |
| Senior Lead Software Engineer- Java/Python/ AI Solutions Senior Lead Software Engineer to design, develop, and deploy client-facing Generative AI and Agentic AI solutions for a Private Bank. This role involves architecting prompt-based LLM models, building autonomous agentic AI workflows with multi-step reasoning and tool use, integrating with external data sources, and developing scalable data pipelines and APIs. The position requires strong programming skills in Python or Java, experience with cloud platforms, and a deep understanding of security and regulatory compliance in financial services. | AgentServe | 9 |
| AI Agents Applied Engineer - Senior Associate This role focuses on the end-to-end lifecycle of LLM-based agents, from research to production deployment. The engineer will define research directions in areas like multi-step planning, tool use, and safety, build production systems that meet strict constraints, and partner with other teams to bring these systems to market. The role emphasizes building AI that is auditable, explainable, and safe within a regulated financial domain, with a focus on customer-facing financial tasks. | AgentServe | 9 |
| AI Agents Applied Research/Engineering Lead - Vice President Lead the research and end-to-end lifecycle of LLM-based agents for financial tasks, focusing on multi-step planning, tool use, safety, and production deployment under strict regulatory constraints. This role involves fine-tuning, optimizing LLMs, applying reinforcement learning, scaling systems, and implementing robust safety and compliance controls. | AgentServe | 9 |
| Vice President — Principal Applied AI Data Scientist JPMorgan Chase is seeking a Vice President to lead the design, deployment, and scaling of LLM agents and AI-driven solutions for finance workflows. The role involves architecting and building multi-agent systems using techniques like LangGraph, RAG, and tool use, integrating them with various data sources and APIs, and driving research in Gen AI and autonomous workflows. The candidate will also mentor teams and communicate technical concepts to stakeholders. | Agent | 9 |
| Machine Learning Scientist - Vice President Lead the development and deployment of production-grade advanced ML solutions, focusing on Generative AI capabilities including LLM-powered systems like RAG and agentic AI. The role involves fine-tuning, evaluation, and operating models reliably in production within a regulated fintech environment. | AgentPost-train | 9 |
| Red Team Lead Security Engineer Lead Security Engineer focused on Red Teaming for AI/ML systems, including generative AI and RAG pipelines. Responsibilities include developing security strategies, adversarial testing, identifying vulnerabilities (prompt injection, jailbreaking, data poisoning), providing secure design guidance, and defining red teaming methodologies. Requires experience with cloud-native AI services, threat modeling, penetration testing (especially for LLMs), Python, and AI/ML concepts. | Agent | 8 |
| AI ML Engineering Lead - Vice President - Wholesale Payments Operations This role focuses on building and deploying enterprise AI/ML solutions for Wholesale Payments Operations, with an emphasis on document processing, workflow automation, and LLM-enabled applications. The role involves end-to-end delivery, MLOps, model governance, and mentoring engineers within a regulated financial services environment. | AgentServe | 8 |
| Quantitative Trading & Research - Applied Researcher – Agentic AI Systems - Associate Associate Applied Researcher focused on building and productionizing end-to-end agentic AI systems for workflow automation in a quantitative trading and research environment. The role involves driving applied research, integrating emerging techniques, and ensuring robust, scalable, and observable production code. | Agent | 8 |
| Senior Quant Analytics Associate - Fraud Risk Develop and implement GenAI and Agentic AI solutions using Python for fraud prevention, leveraging LLMs, ML, and RAG. Analyze data, build reporting systems, and apply advanced analytics to improve decision-making and workflow efficiency in fraud risk management. | AgentData | 8 |
| Risk Management - Gen AI Lead Data Scientist Lead Data Scientist role focused on designing and delivering generative AI and agentic solutions for wholesale credit risk management, including LLM-powered agents, multi-agent orchestration, and RAG systems. The role involves translating business needs into production-ready capabilities, managing context, and ensuring performance, safety, and reliability across the model lifecycle. | Agent | 8 |
| Connected Commerce and Cards - AI Modeling Lead Lead the design, training, and deployment of AI/ML models for Connected Commerce and Cards at JPMorgan Chase, focusing on customer financial needs and business impact. This role involves end-to-end ownership of model development, deployment, and production readiness, collaboration with stakeholders, and ensuring regulatory compliance. Requires strong Python skills, experience with ML/DL frameworks, and familiarity with modern AI tooling like LLMs and agentic frameworks. | Ship | 8 |
| Applied AI/ML Senior Associate - Payments Senior Associate Applied AI/ML Scientist in Payments at JPMorgan Chase, focusing on developing and deploying ML models for payment solutions, fraud detection, and customer experience enhancement. Requires experience with large-scale data processing on AWS, ML frameworks, NLP/LLMs, Agentic AI, and fine-tuning strategies. Collaborates with cross-functional teams and ensures regulatory compliance. | AgentServe | 8 |
| CCB Risk Modeling - AI ML Sr. Associate This role focuses on developing and deploying machine learning models for credit decisioning and fraud detection within a financial services context. Key areas include explainability, fairness, and responsible AI practices, with an emphasis on applying advanced ML techniques, including LLMs and agentic workflows, to complex business challenges. The role requires a strong background in model development, interpretability, and collaboration across various teams to ensure ethical and regulatory compliance. | Post-trainAgent | 8 |
| Applied AI ML [Multiple Positions Available] Builds and trains production-grade ML models and end-to-end pipelines for various business use cases in Global Banking, leveraging large-scale datasets, deep learning, and generative AI techniques. Deploys models in production environments using cloud technologies and MLOps practices. | ShipData | 8 |
| Data and Analytics - Business Insurance Data Science Executive Director Executive Director to lead analytics and AI strategy for a new insurance business, building a team and architecting AI-native capabilities across the value chain. Focus on deploying generative AI, agentic AI, and automation, and designing measurement frameworks. Requires deep ML expertise, team building, and executive communication. | AgentServe | 8 |
| Business Enablement - Vice President This role is for a Business Enablement Vice President within JPMorgan Chase's Commercial & Investment Bank (CIB) Chief Data & Analytics Office (CDAO), focusing on driving AI adoption in Payments and Banking. The role involves understanding business workflows, building AI solutions using internal tooling, writing production-grade Python code, and owning the technical architecture from prototype to production. It requires close collaboration with Technology and data science teams to deliver scalable AI solutions that meet firm standards. | Agent | 8 |
| Applied AI ML Lead - LLM SUITE ENGINEERING Lead the architecture and hands-on implementation of scalable large language model systems and agentic AI platforms for enterprise use cases, focusing on building production-grade AI systems, optimizing performance, and establishing evaluation and observability standards. | AgentServe | 8 |
| Applied ML and Generative AI Leader - Executive Director Executive Director level Applied ML and Generative AI Leader responsible for designing, building, and running production-grade ML and Generative AI services for corporate functions. The role involves hands-on technical leadership, setting technical direction, establishing engineering standards, and ensuring solutions meet enterprise expectations for security, stability, and operational rigor. Key responsibilities include stakeholder partnership, mentoring junior engineers, building MLOps capabilities, fine-tuning models, conducting evaluations, and implementing monitoring. Requires strong programming, ML framework, cloud, and containerization experience, with a focus on applied AI/ML systems in production. | AgentPost-train | 8 |
| Applied ML and Generative AI Lead - Vice President Hands-on engineering leader responsible for designing, building, and running production-grade ML and Generative AI services at JPMorgan Chase. The role involves setting technical direction, establishing engineering standards, and ensuring solutions meet enterprise expectations for security, stability, and operational rigor. Key responsibilities include deploying ML/LLM/GenAI solutions, mentoring junior engineers, building MLOps capabilities, fine-tuning generative models, evaluating models, and implementing monitoring mechanisms. Requires strong programming skills in Python, experience with ML frameworks, cloud platforms, and containerization, along with a solid understanding of ML fundamentals and generative model architectures. | ShipPost-train | 8 |
| Computational Linguist, Generative AI - Sr. Associate Computational Linguist role focused on evaluating and supporting Generative and Agentic AI systems within a financial institution. The role involves designing and implementing evaluation processes, metrics, and guardrails for LLM-powered workflows, with a strong emphasis on AI Assurance and customer experience. Requires expertise in linguistics, NLP, LLM integration, prompt engineering, and evaluation methodologies. | Eval GateAgent | 8 |
| Applied AI ML Engineer-Vice President This role focuses on designing, developing, and deploying AI and ML solutions, specifically generative AI applications, to enhance operational efficiency within the Corporate & Investment Bank. It involves working with ML models, MLOps, cloud platforms, and generative AI, with a strong emphasis on production deployment and scalability. | ShipAgent | 8 |
| Applied AI ML Engineer-Senior Associate This role focuses on designing, developing, and deploying generative AI and machine learning solutions within the Corporate & Investment Bank. The engineer will work on automating and optimizing business processes using AI/ML, with a strong emphasis on production deployment, MLOps, and utilizing generative AI models. Experience with AWS SageMaker/Bedrock, MLOps, ML frameworks, Python, testing, and generative AI models is required. | AgentServe | 8 |
| Executive Director - Data Scientist Executive Director Data Scientist role focused on leading the strategy, delivery, and adoption of applied AI/ML solutions within JPMorgan Chase's Asset and Wealth Management team. The role involves hands-on ML engineering, MLOps, GenAI/LLMs, and team leadership to drive measurable business outcomes in financial services. | ShipAgent | 8 |
| Risk Management - Model Risk Program Associate This role focuses on designing, building, and deploying AI and LLM-based solutions to transform model risk management processes within JPMorgan Chase's AI Center of Excellence. The associate will conduct independent model validation and governance, with a focus on AI/ML, LLM, and Generative AI systems, and enable other teams to leverage AI tools effectively. | AgentEval Gate | 8 |
| Lead Data Scientist - Finance Technology Lead Data Scientist for JPMorgan Chase's Finance Technology team, focusing on building and deploying production-grade AI/ML solutions, including LLMs, Gen AI, and agentic workflows, for finance processes. The role involves managing a global team and collaborating with business and technology partners. | Post-trainAgent | 8 |
| Applied AI/ML Lead - Vice President - Payments Lead Applied AI/ML role focused on delivering end-to-end ML capabilities for payments, including fraud detection, operational automation, and client experience. Responsibilities include designing, building, and deploying production-grade ML systems, defining evaluation metrics, establishing model lifecycle standards, and partnering with risk/compliance teams. Requires strong hands-on expertise in neural networks, Transformers, fine-tuning, distillation, and software engineering skills in Python with PyTorch/TensorFlow. | ShipPost-train | 8 |
| GenAI Engineering - Executive Director JPMorgan Chase is seeking an Executive Director for their GenAI Engineering team, focusing on building AI applications and platforms in financial services. The role involves hands-on development, ML/LLM model creation, and production deployment on cloud platforms, requiring strong leadership and technical expertise in AI solutions. | AgentServe | 8 |
| Agentic AI Data Lead Software Engineer Lead Software Engineer for a Data Products Framework platform that uses AI/Agentic AI to enable users to discover, design, build, and productionize governed data products at enterprise scale on AWS. The role involves leading a team, setting technical vision, and architecting AI/Agentic AI layers including intent agents, NLP Text-to-SQL, Knowledge Graphs, RAG, Vector Databases, and Agent-to-Agent communication. | Agent | 8 |
| Senior Lead Security Engineer, AI Senior Lead Security Engineer focused on designing and delivering secure AI solutions for cyber use cases, including LLM/RAG services and ML pipelines. Responsibilities include establishing security standards, building evaluation harnesses, partnering with platform teams, implementing monitoring, and collaborating with governance. The role emphasizes shipping secure, reliable AI features with clear metrics and post-deployment monitoring, and driving a roadmap of key capabilities. | AgentServe | 8 |
| Applied Artificial Intelligence/ Machine Learning Lead - Vice President JPMorgan Chase is seeking an Applied AI/ML Vice President for their Global Private Bank. This role involves owning the full lifecycle of high-impact models for wealth management, lending, and advisory, from problem framing to production deployment. The position requires expertise in NLP, LLM fine-tuning, RAG, prompt engineering, and multi-step AI agents, with a focus on building AI-native capabilities at scale within a regulated financial services environment. | AgentShip | 8 |
| Senior Associate, AI ML Platform Engineering Senior Associate, AI ML Platform Engineering role at JPMorgan Chase, focused on building products for MLOps, automated governance, and ML data development. The role involves designing, developing, and deploying GenAI and Agentic AI solutions, including RAG-based systems, chat experiences, and tool-using agents. Responsibilities include engineering production-grade services, building data pipelines, applying MLOps practices, and implementing robust testing and observability for AI services. Requires strong software engineering skills in Java/Python, cloud experience (AWS), and familiarity with LLM application patterns. | AgentData | 8 |
| Applied AI/ML Lead Lead the design, development, and production deployment of AI/ML solutions for image classification, text categorization, and data extraction from scanned documents using computer vision and NLP models. Architect and implement scalable ML training and inference pipelines on AWS SageMaker, integrating with microservices and establishing MLOps practices. Build and manage a team of ML engineers and applied scientists. | ServePost-train | 8 |
| Data Scientist Lead Lead a team of data scientists in building and deploying advanced AI solutions for image classification, text categorization, and intelligent data extraction from scanned documents within the healthcare provider team at JPMorgan Chase. The role involves managing the full ML lifecycle, from prototyping to production deployment on AWS EKS, with a focus on multimodal document understanding. | ShipPost-train | 8 |
| Sr Lead Software Engineer - Cloud / ML / GenAI Senior Lead Software Engineer focused on ML and GenAI solutions within Public Cloud Engineering at JPMorgan Chase. The role involves leading architecture, development, and production deployment of ML/LLM solutions, applying modern GenAI workflows, and ensuring responsible AI practices. Responsibilities include designing and implementing end-to-end ML/LLM solutions, productionizing models on public clouds using Kubernetes, establishing evaluation methodologies, and collaborating with stakeholders. | AgentPost-train | 8 |
| Finance Decision Optimization - Data Scientist Lead Lead Data Scientist focused on building and deploying agentic AI systems within a finance decision optimization group. This role involves architecting foundational agentic workflows, including tool/function calling, multi-step reasoning, and orchestration, while establishing technical standards for production deployment. Responsibilities include designing retrieval layers (RAG), defining agent success metrics, building evaluation harnesses, and implementing guardrails and human-in-the-loop checkpoints for safety and auditability. The role also requires building scalable data pipelines and predictive models using big data technologies, leading backtesting and validation, and staying current with AI trends. | AgentData | 8 |
| Applied AI ML Director Director level role leading a team of senior AI engineers to build and deploy production-grade agentic AI systems in a regulated financial services environment. Responsibilities include defining architectures, setting standards, ensuring operational excellence, and mentoring the team. | Agent | 8 |
| Applied AI/ML - Vice President JPMorgan Chase is seeking an Applied AI/ML Vice President to lead the analysis of complex business problems, design and experiment with state-of-the-art models, and develop robust machine learning and deep learning solutions. The role involves applying expertise in ML toolkits and algorithms to identify, build, and deliver solutions with measurable business impact, collaborating with product owners, data engineers, and software engineers to architect and implement new systems and capabilities. Responsibilities include leading AI/ML initiatives, defining roadmaps, developing ML models for NLP, personalization, and recommendation systems, creating end-to-end ML pipelines, and operationalizing model orchestration for use cases like Document Q&A, Search, and classification. The role also requires building batch and real-time prediction pipelines, conducting large-scale data modeling experiments, explaining complex concepts, and deploying solutions into production in collaboration with various partner teams. | AgentPost-train | 8 |
| Applied AI ML Director Director role focused on applying AI/ML, particularly LLM-driven workflows and agentic systems, within a regulated fintech environment. Responsibilities include setting technical direction, building teams, establishing evaluation and governance practices, and advising on strategy for GenAI solutions. | AgentEval Gate | 8 |
| Applied AIML -Executive Director Executive Director role focused on leading the design and delivery of large-scale recommendation, ranking, and personalization systems for a consumer banking division. The role involves applying ML, including LLMs, to improve customer experiences, leading a team, and ensuring systems are reliable, secure, and scalable. Core focus is on recommenders and personalization, with pragmatic use of GenAI to augment the stack. | ShipAgent | 8 |
| Applied AI ML Lead [Multiple Positions Available] Lead and mentor a team of AI/ML engineers in designing, building, and deploying GenAI and LLM applications, including custom model fine-tuning and agentic solutions, within a secure and scalable enterprise environment. Focus on end-to-end development, integration, and production deployment, with responsibilities spanning data pipelines, model evaluation, and architectural roadmapping. | AgentPost-train | 8 |
| Applied AI ML Director Director role focused on applying AI/ML, particularly LLM-driven workflows and agentic systems, within a regulated fintech environment. Responsibilities include setting technical direction, building teams, establishing evaluation and governance practices, and advising on strategy for GenAI solutions. | AgentEval Gate | 8 |
| Executive Director Principal Software Engineer - Agentic Engineering Executive Director Principal Software Engineer to lead the design, build, and scaling of a next-generation multi-agent AI platform within the Corporate and Investment Bank Technology – Securitized Product Group Technology team. The role involves writing production code, owning architectural decisions, unblocking engineers, and setting multi-year strategy. Responsibilities include owning agentic platform strategy (toolchains, RAG, memory, context, evaluation, feedback loops), architecting multi-agent systems with frameworks like LangChain/LangGraph/AutoGen, designing distributed ingestion/workflow systems, establishing standards for the agentic development lifecycle, contributing directly in Python, leading reviews, and building reusable agent components. | Agent | 8 |
| SR Principal Software Engineer - LLM Engineering Senior Principal Software Engineer focused on LLM Engineering within JPMorgan Chase's Trust & Safety Fraud Prevention team. The role involves architecting, building, and optimizing model serving solutions, particularly for LLMs and GNNs, across cloud and on-premises environments. Key responsibilities include defining MLOps/LLMOps strategies, driving inference optimization for high throughput and low latency, creating reusable ML engineering frameworks, and ensuring observability, reliability, and cost efficiency in production AI workloads. | Serve | 8 |
| Applied AI ML Director - AGENT BUILDER PLATFORM Director of ML Engineering to lead the technical vision and execution for a core Agent SDK and the agentic systems it enables, focusing on building and scaling foundational toolkits for enterprise AI. | AgentServe | 8 |
| Business Modeling - Applied AI Modeling Executive Director Executive Director role focused on architecting and leading the development of next-generation AI/ML solutions for credit card and banking business decisions, managing the full AI/ML lifecycle from design to production deployment, and leading a team of AI/ML scientists and engineers. Emphasizes deep learning, advanced modeling, MLOps, and cloud-native deployment within a regulated financial services environment. | ShipAgent | 8 |
| Data Scientist Lead - Vice President Lead Data Scientist at JPMorgan Chase, responsible for building and deploying secure, scalable, production-grade AI/ML solutions, with a focus on generative AI applications and operating within regulated environments. This role involves applied research, model development, MLOps, and mentoring. | AgentPost-train | 8 |