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 |
|---|---|---|
| Associate Applied AI & ML Scientist – Markets Operations Associate Applied AI & ML Scientist role focused on designing, developing, and deploying AI/ML solutions for Market Operations at JPMorgan Chase. Responsibilities include building production-grade models, deploying solutions for automation and anomaly detection, architecting generative AI applications, and maintaining ML lifecycles. Requires strong Python, ML libraries, MLOps, and Generative AI experience, with a preference for financial services background. | AgentServe | 8 |
| Data Scientist Associate Data Scientist Associate role focused on designing, deploying, and managing prompt-based LLM solutions for financial services. The role involves prompt engineering, LLM orchestration, building data pipelines for LLMs, and integrating models into applications, with a strong emphasis on MLOps and cloud deployment. |
| AgentData |
| 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 |
| Director of Software Engineering - Python, Gen AI Director of Software Engineering role focused on building and shipping production AI solutions within a fintech domain, specifically leveraging the GenAI stack for financial applications. The role involves end-to-end development, RAG pipelines, prompt engineering, agentic workflows, and collaboration with business and control partners. Emphasis on practical application of AI, modern software engineering practices, and AI-assisted development tools. | AgentShip | 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 |
| Machine Learning Engineering & Applied AI ML Lead - Vice President This role focuses on designing and delivering enterprise-grade machine learning systems and autonomous agents for document processing within a large financial institution. It involves building robust production architectures, translating research into scalable solutions, and implementing automated ML pipelines using MLOps tools, with a strong emphasis on AWS and Kubernetes. The role operates at the intersection of software engineering and AI research, aiming to scale AI solutions within a sensitive enterprise environment. | AgentServe | 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 |
| Lead Software Engineer - Applied AI Engineer (Agentic/ Gen AI) Lead Software Engineer focused on building and productionizing agentic AI solutions and LLM orchestration within an enterprise setting. The role involves owning the end-to-end lifecycle of AI systems, including data pipelines, RAG, evaluation frameworks, and MLOps practices, with a strong emphasis on Python and cloud services. | AgentServe | 8 |
| Lead Software Engineer - Applied AI Engineer (Agentic/ Gen AI) Lead Software Engineer focused on building and productionizing agentic AI solutions, including agents, orchestrators, tool integrations, and RAG pipelines. The role involves owning the end-to-end lifecycle of AI systems, from prototyping to deployment and monitoring, with a strong emphasis on Python and Java development, cloud services, and MLOps practices. | 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 |
| Data Scientist lead - Applied AI/ML- Agentic/Gen AI, Python Lead Data Scientist focused on designing, deploying, and managing prompt-based LLM models for NLP tasks in financial services. The role involves research into prompt engineering, LLM orchestration, agentic AI, building data pipelines for LLMs, and developing tools for model training, evaluation, and optimization. Requires strong Python, PyTorch/TensorFlow, cloud platform experience, and MLOps practices. | AgentData | 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 |
| Associate Client Advanced Analytics Associate Client Advanced Analytics role at JPMorgan Chase focused on building ML models for segmentation and prediction, and delivering GenAI solutions to boost advisor and marketer productivity and personalization. The role involves stakeholder engagement, analyzing client behavior, developing data models, and implementing various ML techniques within AWS environments and LLM APIs. | AgentPost-train | 8 |
| AI Research Lead (Natural Language Processing) - Vice President AI Research Lead focusing on Natural Language Processing within the financial services domain, developing novel techniques and state-of-the-art ML models for commercial applications. | Post-train | 8 |
| AI Research Scientist - Senior Associate AI Research Scientist role at JPMorgan Chase focused on developing novel techniques, tools, and frameworks for large-scale problems in financial services. The role involves formulating problems, developing algorithms and models, conducting experiments, and contributing to business applications, open-source software, and patents. | Post-train | 8 |
| AI Research Scientist - Senior Associate AI Research Scientist role at JPMorgan Chase focused on developing novel techniques, tools, and frameworks for large-scale problems in financial services. The role involves formulating problems, developing algorithms and models, conducting experiments, and contributing to business applications, open-source software, and patents. | Post-train | 8 |
| Machine Learning Scientist - Natural Language Processing (NLP) - Vice President - Machine Learning Center of Excellence Machine Learning Scientist - NLP - VP role focused on developing and deploying Generative AI solutions within JPMorgan Chase's Machine Learning Center of Excellence. The role involves research, thought partnership, cross-functional collaboration, and leading firm-wide initiatives to apply ML models across the business. Requires a PhD or MS with experience in GenAI, ML/DL toolkits, experimental design, and communication skills. | Post-trainAgent | 8 |
| Machine Learning Scientist - Natural Language Processing (NLP) - Senior Associate - Machine Learning Center of Excellence Machine Learning Scientist specializing in NLP and Generative AI (GenAI) to develop and deploy state-of-the-art models for complex business challenges within JPMorgan Chase. The role involves research, thought partnership with leaders, cross-functional collaboration for production deployment, and leading firm-wide initiatives with large-scale frameworks. Requires a PhD or MS with experience in GenAI, ML/DL toolkits, experiment design, and communication skills. | Post-trainAgent | 8 |
| Machine Learning Scientist - Natural Language Processing (NLP) - Vice President - Machine Learning Center of Excellence Machine Learning Scientist (VP) in the Machine Learning Center of Excellence at JPMorgan Chase, focusing on NLP and Generative AI. The role involves owning the full lifecycle of ML solutions, from research and development to production deployment, acting as a thought leader, and driving cross-functional collaboration to implement new ML methods and large-scale frameworks for business impact within the financial services industry. | Post-trainAgent | 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 |
| Applied AI ML Senior Associate – LLM Suite Engineering JPMorgan Chase is seeking an Applied AI ML Senior Associate to join their LLM Suite Engineering team in London. The role focuses on building secure, reliable, and production-ready AI/ML and agentic capabilities on the LLM Suite platform, leveraging public cloud (Azure, AWS) and modern agentic frameworks. Responsibilities include designing, developing, and troubleshooting software, writing high-quality code, and implementing GenAI services. The role emphasizes collaboration with senior engineers and operational stability. | Agent | 8 |
| Applied AI ML Lead - LLM Suite Engineering Lead hands-on engineering for agentic and GenAI capabilities within the LLM Suite platform, focusing on designing, developing, and operationalizing production-grade AI/ML solutions using public cloud services and agentic frameworks. | Agent | 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 |
| Vice President – Data Scientist Lead (LLM/GenAI) Lead the design and delivery of LLM-powered solutions for commercial banking use cases like content extraction, enterprise search, reasoning, summarization, and recommendations. Partner with engineering and product teams to deploy reliable, scalable, and governed GenAI capabilities using Amazon Bedrock and Cortex, with a strong emphasis on evaluation, guardrails, and production-grade MLOps. | AgentServe | 8 |
| Sr.Manager Software Engineer Sr. Manager of Software Engineering for an AI/ML Solutions technology team focused on building and enhancing AI/ML platforms, Gen AI use cases, LLM fine-tuning, and multi-agent orchestration. The role involves hands-on code development, team management, and adopting best practices in software engineering and MLOps. | AgentPost-train | 8 |
| AI Applications Developer Develop and deploy agentic AI applications and autonomous AI agents using LLMs, prompt engineering, RAG, and fine-tuning, with a focus on corporate environments and AWS technologies. | 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 |
| AI/ML Product Manager - Payments - Vice President Product Manager (VP level) for AI-enabled automation in a payments platform, focusing on defining product strategy, driving roadmap, and leading PoCs for ML (anomaly detection) and LLM-based systems (RAG, agentic orchestration). Responsibilities include translating business needs into requirements, partnering with engineering on LLM/RAG solutions, defining success metrics, and managing end-to-end delivery in a complex, regulated environment. | AgentData | 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 |
| WCR- Quantitative Research - Associate This role focuses on building and deploying AI/ML/LLM/GenAI solutions, with a strong emphasis on fine-tuning generative models for specific use cases, building AI agents, and implementing RAG-based solutions. The role also involves developing data pipelines, evaluating models, and communicating results. | AgentPost-train | 8 |
| Applied AI/ML Lead - Intelligent Cloud Migration Lead the deployment and scaling of advanced generative AI, agentic AI, and classical ML solutions within a financial services context. This role involves designing and developing multi-agent systems, enterprise-wide AI/ML frameworks, and production-ready code, with a focus on cloud migration optimization. | AgentServe | 8 |
| Sr. Lead Architect-Applied AI/ML Senior Lead Architect role focused on designing and developing an AI/ML platform, managing engineering teams, and driving the adoption of AI/ML solutions within financial services. The role involves overseeing the end-to-end lifecycle of AI/ML projects, ensuring scalability, performance, and compliance. | ServeAgent | 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 - Payments Lead the end-to-end delivery of advanced machine learning and AI solutions for Payments and Banking Operations, focusing on production deployment, scalability, and integration within a regulated fintech environment. This role involves developing innovative solutions including GenAI and agentic approaches, establishing MLOps practices, and providing technical leadership. | ShipAgent | 8 |
| Data Domain Architect Lead - Data & Annotation Lead data labeling initiatives for financial industry ML models, focusing on creating reliable datasets, managing annotation operations, and driving innovation in data quality and evaluation, including LLM-as-judge and agentic workflows. | DataAgent | 8 |
| Applied AI ML Lead - Agentic AI Lead a team of software engineers to architect and develop an enterprise-grade Agentic AI platform, focusing on multi-agent orchestration, tool integration, memory, RAG, guardrails, observability, and evaluation. This role requires strong technical leadership in AI agents and people management skills to drive strategic vision and hands-on work. | Agent | 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 |
| Applied AI ML Associate Senior Senior Applied AI/ML Engineer to build and operate LLM-driven applications and ML products in a regulated fintech environment. Focus on agentic frameworks, prompt optimization, and fine-tuning LLMs, with a secondary focus on post-training techniques. | AgentPost-train | 8 |
| Data Scientist Senior Associate - Applied AI ML Senior Associate Data Scientist focused on applied AI/ML, specifically GenAI and LLMs, for fintech. Responsibilities include designing, developing, and deploying AI systems, integrating GenAI into platforms, optimizing performance, and ensuring responsible AI governance and compliance. Requires strong Python, ML framework, and MLOps experience, with a focus on agentic workflows and production deployment. | AgentServe | 8 |
| AWM Quant Modelling- Senior Associate Senior Associate Data Scientist role in JPMorgan's AWM Risk Analytics Group, focusing on developing and deploying AI/ML models for risk management. Responsibilities include identifying use cases, leading model development (NLP, LLMs), prompt engineering, quantization, evaluation, data onboarding, model optimization, and contributing to risk methodologies. Requires experience with Python, SQL, R, PyTorch/TensorFlow, AWS, and frameworks like LangChain. | AgentPost-train | 8 |
| AI Engineering Director AI Engineering Director to lead a team developing horizontal LLM-based systems and agentic AI platforms for enterprise use cases. Responsibilities include designing and building production-grade AI systems, architecting retrieval patterns, engineering cloud-native platforms on AWS, optimizing AI systems, building APIs, and establishing evaluation/observability frameworks. Requires PhD or deep experience with LLMs/Agents, training/deploying models, and leading AI teams. | AgentServe | 8 |