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 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 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 |
|---|---|---|
| Principal Architect: Transformative AI Principal Architect role focused on designing and delivering production-grade Generative AI and LLM systems, including agentic workflows, for financial services. Requires strong software engineering and ML engineering experience with cloud platforms and various programming languages and frameworks. | AgentServe | 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 |
| AI/LLM Product Director - Executive Director Product Director for AI/LLM initiatives, focusing on enterprise Search capabilities. The role involves overseeing the product roadmap, development, and execution of generative search solutions using technologies like RAG, Agents, SFT, and RLHF. Requires experience in the AI/LLM product lifecycle and operationalizing AI responsibly. | AgentPost-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 |
| Asset Management - NLP/LLM Data Scientist - Associate Associate Data Scientist focused on NLP/LLM applications within Asset Management, responsible for developing and deploying agentic frameworks, applying ML techniques to improve decision-making, and collaborating with stakeholders to reengineer processes and enhance client experiences. | AgentData | 8 |
| Lead Agentic Gen AI - Natural Language Querying Engineer, Vice President Lead engineer for an enterprise-scale generative AI and agentic AI initiative focused on natural language querying of structured and unstructured data. The role involves designing and deploying multi-agent systems, NLQ frameworks, and data pipelines, with a strong emphasis on production code quality and AWS infrastructure. | Agent | 8 |
| Asset Management - Quantitative Analyst - Artificial Intelligence & Machine Learning Focus Quantitative Analyst with a focus on AI/ML/LLMs for investment research, alpha generation, portfolio optimization, and risk management in financial markets. Responsibilities include researching and implementing quantitative models, applying NLP to textual data, identifying alpha signals, and collaborating with teams to implement models in production. Requires a quantitative Master's/PhD, 3+ years of experience, expertise in ML/DL/AI/LLMs/NLP, strong coding skills (Python), and knowledge of financial markets. Regulatory licenses are required. | AgentData | 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 |
| Sr Lead Software Engineer - Agentic AI Systems Senior Lead Software Engineer focused on architecting, building, and scaling autonomous AI agent systems. Requires deep experience in agentic AI, LLMs, Python frameworks (LangChain, etc.), cloud platforms, and vector databases. The role involves technical leadership and driving the delivery of production-grade AI agent systems. | 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 Sr. Associate This role focuses on designing, developing, and deploying advanced AI/ML models for investment risk and analytics within a fintech domain. It involves the full lifecycle of AI/ML initiatives, from data engineering and model development to deployment and monitoring, with an emphasis on generative AI, deep learning, and reinforcement learning. The role also requires risk modeling, scenario analysis, and collaboration with technology and business stakeholders, including participation in governance and regulatory forums. | AgentData | 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 |
| AWM Risk Analytics Group – Data Scientist - Vice President Vice President Data Scientist role in JPMorgan's Asset & Wealth Management Risk Analytics Group, focusing on developing and deploying advanced AI/ML and LLM solutions for risk management. Responsibilities include identifying use cases, leading model development (pre-training, fine-tuning, optimization), prompt engineering, quantization, evaluation, and collaborating on model serving systems. Requires strong Python, SQL, R, PyTorch/TensorFlow, AWS, and NLP/LLM experience, with frameworks like LangChain/LangGraph/AutoGen. | Post-trainServe | 8 |
| Embedded AI - CIB Chief Analytics office JPMorgan Chase's Commercial and Investment Bank Chief Analytics Office is seeking an Embedded AI Senior Associate to accelerate high-impact AI programs, focusing on generative AI, LLMs, and Agentic AI. The role involves close collaboration with business experts and analytics/technology teams for end-to-end delivery of AI solutions, ensuring responsible AI use and staying updated with cutting-edge research. Responsibilities include identifying AI solutions, analyzing data, communicating insights to senior stakeholders, and delivering AI solutions. | Agent | 8 |
| Agentic Development - Vice President The role focuses on developing and deploying modular components for agentic systems, enabling intelligent automation and orchestration within business platforms. It involves integrating these capabilities into existing systems, containerizing and deploying them on cloud platforms, and applying advancements in agentic frameworks, LLMs, and GenAI. The role also includes leading a team of senior resources focused on agentic solutions and infrastructure development. | Agent | 8 |
| Agentic Development Associate Develops and maintains modular components for agentic systems, integrating AI/ML initiatives, containerizing and deploying on cloud platforms, and leveraging agentic frameworks, LLMs, and GenAI. Requires hands-on experience with agentic systems in production and strong Python skills. | Agent | 8 |
| Applied AI Lead Engineer - Agentic Systems Lead Engineer role focused on designing, building, and productionizing autonomous and assistive AI agents and multi-agent systems. This involves implementing RAG, integrating tools, prompt engineering, guardrails, and orchestrating workflows, with a strong emphasis on scaling and reliability within a fintech domain. | Agent | 8 |
| Applied AI Engineer - Agentic Systems - Senior Associate Senior Associate Applied AI Engineer focused on building and deploying agentic AI systems, including multi-agent architectures, RAG pipelines, and tool integration, within a financial services context. The role involves productionizing autonomous agents, orchestrating complex workflows, and ensuring safety through prompt engineering and guardrails. | Agent | 8 |
| Associate Applied AI & ML Scientist – Markets Operations Associate Applied AI & ML Scientist role at JPMorgan Chase focused on developing and deploying AI/ML solutions for Market Operations. Responsibilities include building ML models, deploying solutions for automation and anomaly detection, architecting generative AI applications, and maintaining production-grade tools. Requires experience with Python, ML libraries, MLOps, LLMOps, and cloud platforms. | AgentServe | 8 |
| Lead Machine Learning Engineer-MLOps Lead Machine Learning Engineer (MLOps) focused on building and maintaining pipelines for distributed model training, model serving, hyperparameter tuning, monitoring, and production validation for a Recommendation Engine team. The role involves deploying ML models on AWS, supporting personalized experiences across consumer channels, and optimizing inference for LLMs and vector databases. | ServeAgent | 8 |
| Applied AI ML Researcher Senior Associate - Commercial and Investment Bank JPMorgan Chase is seeking an Applied AI ML Researcher Senior Associate to build next-generation autonomous agents for the financial industry. This role focuses on developing GenAI and Agentic solutions to automate complex operational processes, deliver collaborative agents that orchestrate workflows, and contribute to the production deployment of AI/ML solutions. | AgentServe | 8 |
| NLP / LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence Research Scientist role focused on applying sophisticated machine learning methods, particularly NLP and LLMs, to real-world problems within a financial services context. The role involves developing state-of-the-art models, publishing research, and collaborating to deploy solutions into production. It emphasizes both research exploration and practical application, with a focus on post-training and potentially agentic systems. | Post-trainAgent | 8 |
| Asset Management - AI Engineer - Associate/VP AI Engineer role at JPMorgan Chase focusing on the research, deployment, and optimization of large models, including training, fine-tuning, and prompt engineering. The role involves implementing AI tools in enterprise business scenarios, developing AI platforms, and building AI workflows and agents. Requires strong algorithm and engineering capabilities with experience in RAG, Agent, LangChain, and large model training frameworks. | AgentPost-train | 8 |
| Applied AI/ML Lead Lead role focused on designing, deploying, and managing prompt-based LLM models for NLP tasks in financial services. Involves research into prompt engineering, LLM orchestration, agentic AI, building data pipelines, and developing tools for model training, evaluation, and optimization. Requires strong Python, PyTorch/TensorFlow, cloud platform, and MLOps experience. | AgentData | 8 |
| Applied AI ML Director Machine Learning Center of Excellence Director role focused on applying sophisticated machine learning methods (NLP, speech, time series, RL, recommendation systems) to real-world problems within a financial services context. The role involves research, model development, collaboration with business and technology partners, and deploying solutions into production. Emphasis on deep learning expertise, analytical thinking, and driving firm-wide ML initiatives. | ShipPost-train | 8 |
| Applied AI ML Senior Associate - Machine Learning Center of Excellence - Time Series Reinforcement Learning This role focuses on applying advanced ML methods like time series analysis, reinforcement learning, causal inference, and NLP to solve real-world problems in finance. The associate will research new methods, develop state-of-the-art models, collaborate with various teams to deploy solutions, and drive firm-wide initiatives. A PhD in a quantitative discipline and hands-on experience with ML toolkits are required, with a preference for candidates with financial industry knowledge and published research. | Post-trainAgent | 8 |
| Data Scientist - Modelling Build and improve machine learning models and analytics that translate data into measurable business outcomes. This role focuses on planning, developing, and executing analytical projects, partnering with developers for implementation, and evaluating model performance. Experience with generative AI, agent-based workflows, and RAG systems is required. | AgentData | 7 |
| Corporate and Investment Banking - Wholesale Credit Risk - Associate Develop and enhance quantitative models for wholesale credit risk, focusing on AI-enabled solutions and agentic AI workflows to improve model development, validation, and monitoring processes within a regulated financial environment. | Agent | 7 |
| Principal Technical Program Manager- AI/ML- Payments This role is for a Principal Technical Program Manager to lead the end-to-end delivery of a Large Payments Model (LPM), a domain-specific foundation model trained on structured payments data for prediction and classification tasks within JPMorgan Chase's Payments Technology Team. The role involves coordinating Applied AI/ML, engineering, data pipelines, and governance/controls to ensure successful training, serving, integration, and adoption of the model. | Post-trainServe | 7 |
| Lead Software Engineer-AI Lead Software Engineer focused on building and shipping production-grade, multi-agent AI systems for automating the software delivery pipeline at enterprise scale. The role emphasizes end-to-end ownership of agent capabilities, with a focus on reliability, evaluation, observability, and cost-per-session. This is an engineering role focused on production systems, not research. | Agent | 7 |
| Product Manager - Customer Onboarding (Agentic AI Specialist) Product Manager for Customer Onboarding in Consumer Banking, focusing on AI capabilities. The role involves defining product strategy, leading development of new offers and account opening features, and driving the adoption of AI, including prompt-building and workflow automation using Agent Builder. Key responsibilities include identifying AI use cases, designing automated workflows with guardrails and monitoring, establishing AI standards, and partnering with cross-functional teams. Requires strong prompt engineering skills and experience with AI product practices in a regulated environment. | Agent | 7 |
| Senior Director of Software Engineering Senior Director of Software Engineering at JPMorgan Chase leading multiple technical domains, managing teams, and driving strategic platform development. The role focuses on scaling agentic AI-enabled engineering and SDLC/TLM automation across departments, establishing governance, and ensuring responsible AI adoption. Requires deep expertise in software engineering, cloud, CI/CD, databases, and demonstrated experience with AI/ML, LLMs, and Generative AI. | Agent | 7 |
| Risk Management - Firmwide Reputation Risk - Vice President This role focuses on developing and deploying AI/GenAI solutions within a financial services risk management context, specifically for reputation risk. The VP will help set the AI strategy, build and scale AI products, and integrate AI trends into risk management workflows, with experience in language models, prompt engineering, and fine-tuning being crucial. | Agent | 7 |
| Director of Software Engineering Director of Software Engineering at JPMorgan Chase, leading technical areas and promoting impact across teams. Focuses on identifying and evaluating AI-powered capabilities, driving technical vision, and overseeing the delivery of solutions. Responsible for setting direction and governance for agentic AI-enabled engineering and SDLC/TLM automation, including establishing guardrails and applying AI tools in software development. Manages technology teams and influences stakeholders. | Agent | 7 |
| Director of Software Engineering Director of Software Engineering at JPMorgan Chase to lead a technical area and drive impact within teams, technologies, and projects. The role involves setting direction and governance for agentic AI-enabled engineering and SDLC/TLM automation, applying knowledge of AI-assisted development tools, and leading the adoption of agentic AI-enabled engineering practices. Requires strong understanding of responsible AI use and control expectations in engineering workflows. | Agent | 7 |
| Cyber Intelligence Senior Associate, Threat Intelligence This role focuses on engineering AI-powered threat research systems and applying frontier AI capabilities to discover and analyze cyber threats, accelerating threat research and risk assessment within an enterprise environment. It involves data acumen, automation, and validation of AI outputs. | DataAgent | 7 |
| Senior Product Associate Product Associate role focused on defining, building, and scaling AI-powered coaching agents and solutions for employee performance support within a large enterprise. The role involves owning the product lifecycle, collaborating with stakeholders, and ensuring adherence to governance and ethical standards. | Agent | 7 |
| Lead Software Engineer - Fullstack Java/AWS/AI/ML Lead Software Engineer role focused on full-stack development (Java/Python/JS) with a strong emphasis on integrating and deploying AI/ML models, including edge deployment. The role involves building, training, fine-tuning, and optimizing models, managing their lifecycle, and deploying them on AWS infrastructure. It also requires driving team adoption of AI-assisted engineering practices and ensuring responsible AI use within development workflows. | ServePost-train | 7 |
| Product Manager - Vice President Product Manager (VP) at JPMorgan Chase, focused on Business Banking. The role involves defining product strategy and vision, leading discovery for AI opportunities, managing the product backlog, tracking key metrics, and ensuring compliance. Requires hands-on experience with deploying Data Science and ML capabilities in production, with preferred knowledge of LLM architectures, fine-tuning, RAG, and agentic frameworks, as well as experience with evaluations. | ShipAgent | 7 |
| Data Scientist Director Director-level role focused on building and scaling a Center of Excellence for delivering AI/ML solutions at enterprise scale within a financial services context. The role emphasizes end-to-end productization, governance, and adoption of AI/ML capabilities, with a focus on measurable business outcomes and responsible AI practices. | Ship | 7 |
| Senior Lead Software Engineer – Agentic SDLC & AI Engineer This role focuses on leading the adoption and implementation of an Agentic Software Development Lifecycle (ADLC) within JPMorgan Chase. The Senior Lead Software Engineer will champion agent-first development, leverage LLM agent frameworks and coding assistants, and provide technical enablement to engineering teams. Responsibilities include analyzing usage data, driving testing and resiliency, collaborating cross-functionally, and ensuring solutions meet security and compliance standards. | Agent | 7 |
| Applied AI ML [Multiple Positions Available] This role involves applying statistical and machine learning methodologies, including causal inference, to solve business problems within a fintech domain. The individual will perform quantitative analysis, build and deploy prototype solutions, and mentor junior team members. A PhD or Master's degree with relevant experience is required, along with expertise in various analytical methods and programming languages like R. | Post-train | 7 |
| Senior Product Transformation & Agentic AI Lead Lead agentic AI adoption and transformation within product teams at JPMorgan Chase, focusing on integrating AI into workflows for discovery, planning, delivery, and continuous improvement. The role involves coaching, prototyping, translating technical concepts, and guiding teams through operational shifts to scale AI responsibly, while establishing feedback loops for measuring outcomes and partnering with leadership to shape the future-state product operating model. | Agent | 7 |
| Data Scientist Associate Develops and integrates generative AI use cases, focusing on agentic workflows and AI agents within the Cards Data & Analytics team at JPMorgan Chase. Builds data pipelines, prototypes AI features, and monitors AI model performance. | AgentServe | 7 |