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 |
|---|---|---|
| Asset Management - AI Systems Engineer – Associate/VP The role focuses on building and optimizing enterprise LLM serving platforms, including GPU pooling, AI infrastructure, and MLOps for model deployment. It requires expertise in Python, Java, Kubernetes, and LLM inference engines, with a strong emphasis on performance optimization. | Serve | 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 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 |
| 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 |
| 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 - 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 |
| E-Markets [Multiple Positions Available] This role focuses on managing and optimizing electronic credit trading algorithms, involving price delivery, risk management, and data analytics. It requires experience in developing event-oriented processing engines, performing predictive modeling with deep learning methods (RNNs, LSTMs), and data analysis using various tools like Java, Python, kdb, SQL, and Tableau. The goal is to improve trading operations, manage risks, and provide solutions for clients' trading strategies within a fintech environment. | Serve | 7 |
| Lead Software Engineer – Python / Java - AI -Markets Technology, Credit Pre-Trade Technology Lead Software Engineer role focused on building and supporting AI-native systems to enhance eTrading capabilities within JPMorgan Chase's Credit Pre-Trade Technology team. The role involves designing, developing, and troubleshooting critical technology solutions, with a strong emphasis on leveraging AI for trading platforms and modernizing existing systems. It requires hands-on experience with AI components, cloud services, and agile methodologies, and involves direct collaboration with business partners. | ServeAgent | 7 |
| Data Scientist [Multiple Positions Available] This role focuses on designing, developing, and deploying machine learning models for security platforms, specifically for enforcing least privilege access. It involves data processing, feature engineering, MLOps, production deployment, and ensuring compliance with security requirements within an AWS environment. | ServeData | 7 |
| WFP Senior Data Scientist Senior Data Scientist at JPMorgan Chase focused on building AI/ML solutions for workforce planning, including demand forecasting, capacity optimization, and scheduling. The role involves framing ambiguous problems, selecting appropriate modeling approaches, and productionizing solutions for real-time inference and decision-making within large-scale operations. | Serve | 7 |
| Lead Software Engineer - AI/ML Lead Software Engineer focused on building and scaling machine learning platforms and infrastructure at JPMorgan Chase. Responsibilities include designing, developing, and optimizing tools for the end-to-end ML lifecycle, integrating various ML capabilities, and ensuring platform reliability and security. Requires strong software engineering background, experience with ML platforms and MLOps, and Python proficiency. | Serve | 7 |
| Sr Lead Software Engineer - AI/ML Senior Lead Software Engineer focused on building, scaling, and maintaining robust machine learning platforms and infrastructure. The role involves designing and optimizing tools for the end-to-end ML lifecycle, including data engineering, feature management, model training, deployment, monitoring, and serving. Emphasis on secure, high-quality production code, MLOps practices, and collaboration with data scientists and ML engineers to accelerate ML development and operations within an enterprise environment. | ServeData | 7 |
| AI Platform Engineer, Python - Principal Software Engineer As a Principal Software Engineer at JPMorgan Chase, you will provide expertise and engineering excellence to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. You will execute creative software solutions, design, development, and technical troubleshooting for AI-enabled applications, create complex and scalable coding frameworks, and develop secure and high-quality production code. You will also advise cross-functional teams, serve as a subject matter expert, and contribute to the development of technical methods. The role requires formal training or certification on software engineering concepts, 7+ years of applied experience, DevOps experience, advanced Python skills, practical cloud-native experience, and experience in Computer Science or a related technical field. Experience with building AI platforms is highly preferred. | Serve | 7 |
| Applied AI ML Lead - ML Ops, CTC ML Ops Engineer role focused on deploying, monitoring, and managing machine learning models in production environments within JPMorgan Chase's Cybersecurity team. Responsibilities include building CI/CD pipelines, optimizing infrastructure, and ensuring reliable and efficient AI system performance. | Serve | 7 |
| Quantitative Trading & Research - Credit - Vice President Seeking a VP to join Credit Quantitative Trading team, leveraging AI/ML to enhance trading strategies and decision-making. The role involves exploring and integrating AI/ML methodologies, developing and deploying models end-to-end in production, and ensuring robustness and scalability. Requires experience in quantitative research, fixed income markets, and AI/ML timeseries models. | ServePost-train | 7 |
| Lead Software Engineer - AI/ML Deep Learning & GPU ML Serving Lead Software Engineer focused on AI/ML Deep Learning and GPU ML Serving within a Commercial and Investment Banking team. Responsibilities include designing, developing, and troubleshooting software solutions, writing production code, producing architecture artifacts, analyzing data, and optimizing deep learning models for inference. The role requires experience with ML systems, Python, ML frameworks, cloud technologies (Docker, Kubernetes), ML model serving frameworks, GPU workloads, low-latency systems, and NoSQL databases. Experience with GPU resource management and microservices architecture is also needed. Preferred qualifications include an advanced degree, proficiency in multiple programming languages, experience with graph neural networks, GPU programming, model monitoring, MLOps tools, and serving large-scale models. | Serve | 7 |
| Software Engineer III - AI/ML Deep Learning & GPU ML Serving Software Engineer III at JPMorgan Chase focused on AI/ML Deep Learning and GPU ML Serving. The role involves developing, testing, and troubleshooting software solutions, writing production code, producing architecture artifacts, analyzing data, and optimizing deep learning models for production inference. Key responsibilities include deploying and managing GPU workloads in Kubernetes, building scalable, low-latency systems, and partnering with product teams. Requires formal training/certification, 3+ years of applied experience, proficiency in Python and ML frameworks, experience with cloud technologies (Docker, Kubernetes, EKS), ML model serving frameworks, GPU workloads in Kubernetes, and NoSQL databases. Familiarity with modern microservices architecture and leading large-scale system design is also needed. Preferred qualifications include an MS/PhD, Java proficiency, experience with graph neural networks, GPU programming, model monitoring, MLOps tools, and serving large-scale models. | Serve | 7 |
| Principal Software Engineer - High Performance Computing Principal Software Engineer focused on High-Performance Computing (HPC) to optimize AI/ML model training and inference. The role involves creating scalable coding frameworks, developing production code, advising cross-functional teams, and publishing patterns for ML model optimization on various architectures. Requires deep experience in HPC, accelerators, deep learning (LLMs), and AI/ML frameworks, with a focus on performance and scalability for financial services. | ServeData | 7 |
| Lead Software Engineer - Python AWS GenAI Lead Software Engineer to build and maintain production-grade ML pipelines and infrastructure at enterprise scale for JPMorgan Chase's MLCOE. This role focuses on designing, developing, and deploying end-to-end ML systems, from data ingestion to serving outputs, with a strong emphasis on AWS services, CI/CD, and performance monitoring. | ServeData | 7 |
| Lead Software Engineer- (Python) Lead Software Engineer role focused on building and deploying production-grade machine learning pipelines and systems at enterprise scale within JPMorgan Chase's ML Center of Excellence. The role involves designing, developing, and maintaining software, engineering data pipelines, feeding data into ML models, and deploying complete systems into production environments with a focus on scalability and reliability. | ServeData | 7 |
| Lead Software Engineer- AI Platform Engineer Lead Software Engineer for an AI Platform team at JPMorgan Chase, focusing on building and enhancing infrastructure solutions for AI/ML workloads. The role involves designing, building, and troubleshooting technical challenges, writing production code, automating processes, and collaborating with AI teams to translate computational requirements into effective infrastructure. Key responsibilities include designing CI/CD pipelines for ML, developing automation scripts, driving adoption of AI-assisted engineering practices, and ensuring responsible AI use in engineering workflows. | Serve | 5 |
| Lead Site Reliability Engineer Market Risk Lead Site Reliability Engineer for Market Risk Technology at JPMorgan Chase, focusing on improving application and platform reliability using AI capabilities for incident triage, troubleshooting, and post-incident analysis. The role involves leading AI-assisted reliability workflows across the SDLC, evaluating AI recommendations, defining guardrails, and ensuring security and resiliency. Requires strong SRE practices, programming skills, and experience with observability and CI/CD tools. | Serve | 5 |
| Technology Support Lead This role focuses on leveraging enterprise-authorized AI capabilities to enhance production application support, aiming to improve incident triage speed and consistency. The lead will oversee the operational stability, availability, and performance of production systems, using AI tools for tasks like synthesizing operational signals and validating AI-assisted recommendations. The role requires strong validation habits, awareness of data sensitivity, and experience with observability and incident management in large-scale technology environments. | Serve | 5 |
| Lead Site Reliability Engineer Lead Site Reliability Engineer role focused on integrating and managing enterprise-authorized AI capabilities to enhance reliability engineering workflows, including design, operational decisioning, and SDLC practices. Requires strong SRE fundamentals, programming skills, and experience with AI tools in a regulated environment. | Serve | 5 |
| Lead Site Reliability Engineering - Network Lead Site Reliability Engineer focused on network infrastructure, responsible for defining and implementing reliability principles, driving adoption of best practices and observability, and providing Tier-3 support. The role involves using and evaluating enterprise-authorized AI capabilities to enhance SRE workflows, including incident response and analysis, while ensuring security and data sensitivity. | Serve | 5 |
| Data Scientist [Multiple Positions Available] Develop and interpret data queries, build and analyze workflows, validate dashboards, and collaborate with stakeholders. Implement ML/AI models via pre-trained endpoints or services for automation and modernization, manage metadata for governance, troubleshoot performance bottlenecks, build CI/CD pipelines, and transform data. Requires experience with ETL, SQL, Python/SAS, Tableau, cloud services (AWS/Azure), Apache Spark, and ML libraries. | Serve | 5 |
| Lead Site Reliability Engineer Lead Site Reliability Engineer at JPMorgan Chase focusing on improving application and platform reliability using data-driven analytics and AI-assisted workflows. Responsibilities include leading SRE initiatives, driving collaboration on service levels, using enterprise AI for incident management, and mentoring engineers. Requires a Bachelor's degree, 5+ years of SRE experience, proficiency in programming languages like Python, and experience with observability, CI/CD, and container orchestration. Experience with AI capabilities for SRE workflows, including evaluating AI recommendations and defining guardrails, is essential. | Serve | 5 |
| Senior Lead Site Reliability Engineer - AI/ML and Data Platforms Senior Lead Site Reliability Engineer for an AI/ML and Data Platforms team, focusing on ensuring the reliability, scalability, and performance of data platforms and AI/ML workloads. The role involves defining non-functional requirements, implementing observability, and driving the adoption of AI-assisted reliability workflows within the SDLC and operational decisioning, while adhering to enterprise-authorized AI usage guidelines and data sensitivity requirements. | Serve | 5 |
| Senior Lead Software Engineer - Python, Data, Cloud, AIML Senior Lead Software Engineer role focused on building the engineering stack for Data and AIML products, including data engineering, backend engineering, Cloud infra DevOps, and MLOps, with an emphasis on industrializing AI/ML models at production scale and driving the adoption of AI-assisted engineering practices within a regulated financial environment. | Serve | 5 |
| Risk Management - Data Scientist Lead - Vice President Lead analytics team in Risk Management, focusing on developing and enhancing analytics using machine learning and AI/LLM tools for risk identification, trend analysis, and forecasting. Ensure analytical approaches and AI-driven insights are controlled, documented, and aligned with internal standards. | Serve | 5 |
| Director of Software Engineering - DevOps / Futures & Options Execution Technology Director of Software Engineering leading a new Execution DevOps team for a financial trading platform. The role focuses on building global DevOps coverage, driving resiliency, automation, CI/CD, and rapid recovery for a 24/7 trading environment. A key aspect is leveraging AI-enabled innovation to improve stability and speed, with a focus on AI-powered automation and near-zero-downtime resiliency. The role involves setting DevOps strategy, designing CI frameworks, automating the software delivery lifecycle, owning resiliency outcomes, and testing integrations. Requires extensive software engineering experience, leadership, advanced programming (Unix scripting, Python, Java), and cloud-native experience. Experience with electronic trading is preferred. | Serve | 5 |
| Software Engineer III - Python, Cloud, Data, AIML Software Engineer III at JPMorgan Chase within the Commercial & Investment Bank's Markets Research Technology team, focusing on designing and delivering technology products. The role involves Cloud-native data, backend engineering, and AIML engineering to industrialize AI/ML models at Production scale. This is a technical hands-on Engineering role. Experience with data science/ML modelling is advantageous but not essential. | ServeData | 5 |
| Senior Lead Software Engineer - Python, Data, Cloud, AIML Senior Lead Software Engineer role focused on building the engineering stack for Data and AIML products, including data engineering, backend engineering, Cloud infra DevOps, and MLOps, to industrialize AI/ML models at Production scale within a financial services context. | Serve | 5 |
| Quantitative Research, Associate Quantitative Research Associate at JPMorgan Chase in Singapore, focusing on developing and maintaining mathematical models for financial transactions, algorithmic trading, and risk management. The role involves partnering with business leaders, trading desks, and technology teams to create analytical tools and quantitative models, ensuring compliance with regulatory requirements, and contributing to financial engineering innovation. Requires a Ph.D or Master's in a quantitative field, 2 years of experience, strong programming skills (C++/Java, Python), and knowledge of AI technologies. | Serve | 5 |
| Quantitative Trading & Research - Valuation Models - Vice President Develop and maintain sophisticated models for fair value measurement across multiple business lines, leveraging machine learning, AI, and data analytics to enhance valuation methodologies and drive innovation. Implement methodologies for model calibration and build analytics to manage model risk appetite. Design and develop software frameworks for analytics delivery. | Serve | 5 |
| Principal Software Engineer – Performance Engineering Principal Software Engineer focused on performance engineering for distributed systems in a financial institution. Responsibilities include defining NFRs/SLOs, scaling automated performance testing, driving resiliency, and applying AI/LLMs to enhance testing and reporting processes. | Serve | 5 |
| AI/ML Capabilities – Associate, APAC Chief & Data Analytics Office JPMorgan Chase is seeking an Associate in AI/ML Capabilities for their APAC Chief & Data Analytics Office. This role supports the building, enhancement, and scaling of AI/ML platforms and tools, assisting in the development, testing, and deployment of AI/ML solutions. The position requires a foundational understanding of AI/ML concepts and experience supporting AI/ML platforms, with a focus on adhering to data & AI risk and control, and regulatory requirements within the financial services industry. | Serve | 5 |
| Sr. Manager of Software Engineering Senior Manager of Software Engineering for JPMorgan Chase's Commercial and Investment Bank, Trade Finance team. The role involves leading multiple squads to design, build, and operate Java-based platforms for high-volume transactional and batch workloads in a regulated environment. Responsibilities include architectural oversight, API and microservices design, modernization, talent development, and delivery ownership. The role also requires utilizing cutting-edge Gen AI for guidance and strategy in operational workflows and familiarity with Gen AI in production systems. | Serve | 5 |
| Credit -Systematic Market Making – Vice President This role involves designing, implementing, and scaling systematic pricing and execution strategies for corporate bonds and ETFs within a financial markets team. It requires applying quantitative modeling, software engineering, and data science, with a focus on machine learning for market modeling and algorithmic trading. The role emphasizes end-to-end delivery of production trading systems and managing risk in fixed income markets. | Serve | 5 |
| Sr. Lead Software Engineer Sr. Lead Software Engineer at JPMorgan Chase within Commercial & Investment Bank Compute Runtime Platforms, responsible for enhancing, building, and delivering technology products. The role involves designing, implementing, and optimizing distributed computing solutions, and leveraging Generative AI and AI tooling for monitoring and management of compute environments. Requires expertise in C++, Python, Kubernetes, HPC technologies, GenAI, agent frameworks, and observability tools. | Serve | 5 |
| Infrastructure Engineer III Infrastructure Engineer III role focused on enterprise software deployment, leveraging AI and agentic AI for automation. Requires 5+ years of experience in infrastructure engineering, software deployment, scripting (Python, PowerShell, .NET), and cloud technologies. The role involves architecting and implementing solutions, automating software delivery, and collaborating with cross-functional teams. | Serve | 5 |
| AI/LLM SRE Lead Software Engineer Lead Software Engineer focused on SRE for AI-powered applications and infrastructure, emphasizing reliability, scalability, and automation. Responsibilities include designing AI-driven alerting and incident response systems, building observability, and mentoring engineers on AIOps. | Serve | 5 |