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 reference: agent orchestration, llm observability, model serving, rag, fine tuning.
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 |
|---|---|---|
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| Applied AI ML Director - NLP / LLM and Graphs Director-level role focused on applying advanced ML techniques, particularly NLP, LLMs, and Graphs, to solve real-world problems within a regulated financial environment. The role involves developing state-of-the-art models, deploying solutions into production, driving firm-wide initiatives with large-scale frameworks, and researching new ML methods. Emphasis on agentic AI/multi-agent systems and LLM evaluation. | AgentPost-train | 8 |
| Lead Software Engineer - AI Lead Software Engineer for AI (VP) at JPMorgan Chase in Risk Technology, focusing on deploying and scaling generative AI and agentic AI solutions, particularly for natural language querying (NLQ) of data. The role involves designing reusable AI frameworks, developing multi-agent systems, guiding prompt engineering research, and building evaluation tools. Requires strong Python, system design, AWS, and LangGraph experience, with a focus on enterprise-scale solutions and data pipelines. | AgentData | 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 |
| Applied AI Lead Lead the design, build, and deployment of end-to-end AI solutions, focusing on LLMs and agentic systems for business insights in a financial services context. This role involves advanced applied research, AI engineering, and data science expertise, with a strong emphasis on leading technical teams and driving complex initiatives. | AgentPost-train | 8 |
| Applied AI ML - Senior Associate - Machine Learning Engineer JPMorgan Chase is seeking an Applied AI/ML Senior Associate Machine Learning Engineer to join their Commercial & Investment Bank team. The role involves combining AI techniques with financial data to optimize business decisions and automate processes. Responsibilities include building scalable data science capabilities, deploying ML services, researching datasets, communicating AI capabilities, documenting processes for regulatory compliance, and collaborating on production architectures. The position requires a Masters or PhD in a quantitative discipline, strong ML theory, NLP specialization, MLOps knowledge, PyTorch experience, and cloud provider familiarity. Experience with containerization and model monitoring is also expected. | ShipServe | 8 |
| Applied AI ML Lead - DocAI Lead Applied AI/ML Engineer at JPMorgan Chase in London, focused on building and deploying AI-powered products for the Commercial & Investment Bank. The role involves leveraging NLP and Computer Vision to optimize business decisions and automate processes, requiring a blend of research and software engineering skills, with a focus on productionizing ML models and services. | Ship | 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 Lead – Markets Operations Lead a team of AI/ML scientists and engineers to design, develop, and deploy AI/ML solutions for market operations in a large financial institution. Focus on end-to-end delivery, production deployment, MLOps, and stakeholder engagement. | ShipAgent | 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 |
| Applied AI ML-Senior Associate As an Applied AI/ML Senior Associate in the AI for Operations organization at JPMorgan Chase, this role focuses on designing, building, and scaling cutting-edge Natural Language Processing (NLP) solutions to improve customer and internal agent experiences within the Consumer & Community Banking division. The role involves applying LLM-based methods and advanced analytics to solve complex business problems, working across the full model lifecycle from defining objectives to production deployment, and contributing to operational workflows through intelligent search, summarization, classification, and next-best-action recommendations. | Agent | 8 |
| Generative AI - Senior Associate This role focuses on designing, building, and supporting production generative AI products and reusable backend APIs within a large enterprise. It involves combining enterprise data with LLMs and multimodal models to deliver scalable, measurable solutions, collaborating with ML, cloud, and SRE teams, and ensuring reliability, performance, and operational controls. The role emphasizes hands-on engineering, real-world constraints, and high-impact delivery. | ShipServe | 8 |
| Principal Software Engineer Principal Software Engineer at JPMorgan Chase focused on designing, implementing, and scaling AI/ML infrastructure and platforms on AWS. The role involves collaborating with teams, developing and optimizing ML models, leveraging Databricks, and leading the productionalization of Gen AI use cases. Requires strong experience in AI/ML engineering, LLM Ops, model serving, and fine-tuning. | ServePost-train | 8 |
| Software Engineer III - Applied AI Software Engineer III - Applied AI at JPMorgan Chase, focused on developing and deploying generative AI applications and agents, with expertise in MLOps, AWS, and integrating user feedback for self-improving systems within the fintech domain. | AgentServe | 8 |
| Lead Software Engineer Lead Software Engineer for JPMorgan Chase's Consumer & Community Banking division, focusing on designing and building critical technology solutions for Chase AI components like Chase Agent, Agent Operating Memory, Domain Agents, Agentic Experience Service, and Assurance. The role involves creating secure, high-quality production code, executing software solutions, producing architecture and design artifacts, and troubleshooting complex problems. Key responsibilities include adopting new technologies for agentic solutions, collaborating with cross-functional teams, leading code reviews, mentoring junior engineers, and ensuring compliance with security, privacy, and regulatory requirements. Requires hands-on experience building agentic systems using LLMs/SLMs, proficiency in Java/Python, experience with Spring AI or Python frameworks, AWS, and understanding of LLM patterns like function calling, RAG, and safety guardrails. | Agent | 8 |
| Principal Software Engineer Principal AI/ML and Gen AI Engineer at JPMorgan Chase focused on scaling AI/ML infrastructure and platforms for model serving and fine-tuning, with expertise in LLM Ops and productionalizing Gen AI use cases on AWS and Databricks. | ServePost-train | 8 |
| Lead Software Engineer- Agentic Gen AI / NLP Lead Engineer for Agentic Generative AI and Natural Language Querying solutions within Risk Technology at JPMorgan Chase. Focuses on designing, deploying, and scaling multi-agent systems, AI frameworks, and data pipelines for querying structured and unstructured data via natural language. Requires strong Python, system design, and AWS experience, with specific mention of LangGraph for orchestration. | Agent | 8 |
| Applied AI ML Lead -Digital Lead Applied AI ML role in Fintech, focusing on developing and productionizing ML models and scalable data pipelines for personalized financial services. Requires strong CS background, end-to-end project ownership, and collaboration with cross-functional teams. Emphasis on research, algorithm implementation, experimentation, and ensuring regulatory compliance. | Ship | 8 |
| Applied AI ML Director JPMorgan Chase is seeking an Applied AI ML Director in London to lead a team of specialists in developing horizontal AI capabilities (APIs, libraries) for Corporate and Investment Banking. The role involves collaborating with Line of Business AI teams, mentoring engineers, and staying at the forefront of AI advancements, with a focus on domains like Documents, Email, and Speech. Requires a PhD or top commercial AI lab experience, hands-on model training/deployment, and experience leading AI teams. | Post-trainServe | 8 |
| Senior Associate -Applied AI Data Scientist Senior Associate role focused on building and scaling production LLM agents for finance workflows, involving RAG, tool use, multi-step reasoning, evaluation frameworks, guardrails, and MLOps practices on cloud platforms. | Agent | 8 |
| Applied Artificial Intelligence & Machine Learning - Vice President JPMorgan Chase is seeking a Vice President for their Applied Artificial Intelligence & Machine Learning team in Mumbai. This role focuses on developing and deploying scalable ML solutions for KYC and operations, with potential for commercialization. The position requires a Master's or PhD in a quantitative field, strong Python skills, and experience deploying ML models in production at scale. Experience with NLP, LLMs, and Agentic AI systems is preferred. | AgentServe | 8 |
| AI Researcher - Senior Associate AI Researcher Senior Associate at JPMorgan Chase, focused on developing novel AI/ML techniques and models for complex, large-scale problems within the financial services domain. The role involves research projects, formulating problems, developing algorithms, conducting experiments, and contributing to business applications, open-source software, and patents. | Post-train | 8 |
| Applied AI/ML - Vice President This role focuses on applying AI/ML and GenAI solutions within the Home Lending sector of JPMorgan Chase. The Lead will design, develop, and deploy AI/ML/GenAI solutions, including LLMs, RAG, NLP, and AI Agents, and build MLOps/LLMOps pipelines on cloud platforms. The role requires extensive experience in applied AI/ML engineering, production deployment, and proficiency with ML frameworks and cloud technologies. | AgentServe | 8 |
| Applied AIML & Gen AI Executive Director - Machine Learning Center of Excellence JPMorgan Chase's Chief Data & Analytics Office is seeking an Executive Director to lead Machine Learning initiatives. This role involves applying advanced ML techniques (NLP, speech, time series, RL, recommendations) to real-world problems, collaborating with cross-functional teams to deploy solutions, and developing large-scale frameworks for ML model application across the business. The position requires a strong background in ML/DL, experimental design, and communication skills, with a focus on production deployment within a regulated financial environment. | Ship | 8 |
| Investment Risk & Analytics - Quant Modeling Associate JPMorgan Chase is seeking a Quant Modeling Associate with 3+ years of experience in AI/ML to design, develop, and deploy advanced AI/ML models for investment risk oversight. The role involves the full lifecycle of AI/ML initiatives, including data engineering, model development, validation, deployment, and monitoring, with a focus on generative AI and deep learning techniques. The associate will collaborate with technology teams, present findings, and stay updated on AI trends, while also participating in governance and regulatory discussions. | AgentData | 8 |
| AI/ML Engineer – Agentic Private Bank Engineer , Vice President Lead the development and implementation of GenAI and Agentic AI solutions using Python to enhance automation and decision-making processes within JPMorgan Chase's Private Bank. This role involves designing, deploying, and managing prompt-based models on LLMs, conducting research on prompt engineering, and building data pipelines and evaluation frameworks for these models on cloud platforms. | Agent | 8 |