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.
Currently tracking 305 active AI roles, with 1181 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $153k–$285k (avg $226k).
JPMorgan Chase currently has 445 active AI-related roles in our index. The most common open titles are: Data Scientist [Multiple Positions Available] (7), Lead Software Engineer (6), Applied AI ML-Vice President (4), Applied AI/ML Lead (4), Applied AI ML-Senior Associate (3). Most positions are in Engineering and Product.
JPMorgan Chase's active AI hiring is concentrated in: agents (57%), application (17%), serving infrastructure (9%). 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 (299 roles), United Kingdom (64 roles), India (56 roles), Singapore (16 roles).
Job postings at JPMorgan Chase most frequently mention: Machine Learning, Agentic Systems, Statistics, Data Science, Large Language Models (LLMs).
In the past 30 days, JPMorgan Chase has posted 178 new AI-related roles. That is a -35% change versus the prior 30 days (274 → 178).
| Title | Stage | AI score |
|---|---|---|
| Applied AI ML Researcher Lead Lead an Applied AI Research team focused on building autonomous agent systems for financial services. The role involves architecting and delivering generative AI and agent-based solutions, establishing rigorous evaluation practices, and mentoring team members. Requires strong software engineering skills, experience with distributed computing, and a proven track record of deploying ML applications in production. | AgentEval Gate | 9 |
| 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. | 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 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 |
| Lead Software Engineer -AI Lead Software Engineer focused on building and shipping production-grade, multi-agent AI systems for enterprise-scale automation of the software delivery pipeline. The role emphasizes end-to-end ownership of agent capabilities, with a focus on reliability, evaluation, observability, and cost-per-session. | Agent | 8 |
| Lead Software Engineer -AI Lead Software Engineer focused on building and shipping production-grade, multi-agent AI systems for enterprise-scale automation of the software delivery pipeline. The role emphasizes end-to-end ownership of agent capabilities, with a focus on reliability, evaluation, observability, and cost-per-session. | Agent | 8 |
| Senior Director of Software Engineering Senior Director of Software Engineering to lead an AI engineering program focused on mainframe modernization in financial services. The role involves building agentic systems to ingest legacy code, generate specifications, and accelerate migration delivery, treating GenAI as a practical engineering discipline. Responsibilities include designing and operating the AI modernization pipeline, leading an AI engineering team, and implementing multi-agent workflows with evaluation frameworks and guardrails. | AgentEval Gate | 8 |
| Applied AI ML Vice President This Vice President, Data Scientist role at JPMorgan Chase focuses on developing and implementing advanced AI solutions within Risk Management and Compliance. The role involves designing and deploying multi-agent systems, implementing drift monitoring and retraining processes, defining evaluation frameworks for AI systems, and integrating AI into existing workflows. The position requires a strong track record in deploying and managing AI/ML models in an enterprise setting, experience with agent orchestration frameworks, and a scientific mindset. | AgentEval Gate | 8 |
| Agent Platform Engineer Product Solutions Vice President - Chief Data Analytics Office Fusion Platform The Agent Platform Engineer Product Solutions Vice President role focuses on building and deploying production-grade AI agents within a regulated enterprise environment. This role involves designing agent architectures, writing production code, integrating with various tools and systems, and ensuring the scalability and reliability of agent solutions. The position emphasizes hands-on engineering, system thinking, and collaboration with business lines to drive AI adoption. | Agent | 8 |
| Applied AI ML Lead [Multiple Positions Available] Lead an Applied AI/ML role focused on designing, deploying, and managing prompt-based LLM models for NLP tasks in financial services. This involves research in prompt engineering, LLM orchestration, RAG systems, and explainable AI, with a strong emphasis on building and optimizing data pipelines, evaluation frameworks, and ML solutions for financial reconciliation and entity extraction. | AgentData | 8 |
| Senior AI Application Engineer - Vice President Senior AI Application Engineer (VP) at JPMorgan Chase, focused on building and deploying high-impact AI applications and platforms in the financial services industry. Responsibilities include hands-on architecture, implementation, and productionization of ML and LLM models, along with designing scalable data pipelines and inference services on cloud platforms (AWS/Azure). Requires strong Python programming, ML/LLM experience, and end-to-end solution design. | AgentServe | 8 |
| Risk Management & Compliance - Data Scientist Lead, Executive Director Executive Director, Data Scientist Lead in Risk Management & Compliance, responsible for guiding the exploration, piloting, and implementation of AI/GenAI solutions. The role involves managing a global team, overseeing the end-to-end model development lifecycle, designing and deploying AI applications, integrating advanced analytics, guiding research, and implementing monitoring processes. Requires significant leadership experience and hands-on experience with ML Ops, agentic frameworks, and large-scale enterprise AI deployment. | AgentServe | 8 |
| Data Scientist [Multiple Positions Available] Data Scientist at JPMorgan Chase focused on building and training production-grade ML models for financial use cases, including forecasting, anomaly detection, NLP, and LLMs. Requires experience with deep learning, transformer models, and ML deployment in a financial domain. | Post-trainData | 8 |
| Applied AI ML Lead [Multiple Positions Available] Lead the development and deployment of AI/ML solutions for virtual assistants and transaction search applications within a financial services context. Focus on fine-tuning LLMs and SLMs, optimizing inference, and managing the release cycle for production-grade AI. | Post-trainServe | 8 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 - 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 |
| 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 |
| 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 |
| Applied AI ML-Vice President As an Applied AI/ML Vice President in the AI for Operations organization at JPMorgan Chase, this role focuses on designing, building, and scaling NLP solutions to improve customer and internal agent experiences. The position involves hands-on work across the model lifecycle, translating operational needs into production-grade language capabilities like intelligent search, summarization, classification, and next-best-action recommendations. The role emphasizes applying technical judgment to choose appropriate methods (including LLMs), evaluating performance, and ensuring solutions are reliable, secure, and scalable. | Agent | 8 |
| Applied AI ML-Executive Director Executive Director for Applied AI/ML in AI for Operations at JPMorgan Chase, focusing on designing, building, and scaling cutting-edge NLP solutions for customer and internal agent experiences. The role involves applying LLM-based methods, rigorous metrics, and ensuring solutions are reliable, secure, and scalable. Responsibilities include full product development lifecycle, advanced analytics, and system development in NLP and machine learning, with a focus on intelligent search, summarization, classification, and next-best-action recommendations. | Agent | 8 |
| Machine Learning Engineer – Document Digitization (LLMs)-Senior Associate Machine Learning Engineer focused on applying LLMs and AI to document digitization within a financial services context. Responsibilities include the full ML lifecycle from training to deployment and monitoring, building scalable pipelines, and ensuring security and compliance. | AgentData | 8 |
| Applied AI ML-Senior Associate As an Applied AI/ML Senior Associate in the AI for Operations organization, this role focuses on designing, building, and scaling NLP solutions for customer and internal agent experiences within a financial services context. Responsibilities include analyzing data, developing models, ensuring reliability and scalability, and mitigating risks associated with ML systems, particularly LLMs for tasks like search, summarization, and classification. | Agent | 8 |
| Applied AI/ML Lead Lead Applied AI/ML Scientist role focused on developing and deploying agentic systems using LLMs and other AI solutions for payment processes, fraud detection, and customer experience enhancement within a financial services context. Requires strong Python, ML/DL framework, and agentic system tooling experience, with a focus on scalability, regulatory compliance, and translating model outcomes into business impact. | Agent | 8 |
| Applied AI ML-Vice President Vice President role focused on building, deploying, and governing production AI/ML models, including LLMs and generative AI systems, within a large financial institution. The role emphasizes model governance, monitoring, and leveraging generative AI for productivity and efficiency, with a strong focus on regulatory compliance and cross-functional leadership. | ShipAgent | 8 |
| Applied AI ML-Vice President Vice President role in AI for Operations at JPMorgan Chase, focusing on designing, building, and scaling NLP solutions for customer and internal agent experiences. The role involves applying LLM-based methods, evaluating performance, and ensuring solutions are reliable, secure, and scalable. Responsibilities include full product development lifecycle, advanced analytics, and contributing to continuous learning. | Agent | 8 |