Are you looking for an exciting opportunity to join a dynamic and growing team in a fast-paced and challenging area? This is a unique opportunity for you to work with the Global Technology Applied Research (GTAR) center at JPMorgan Chase & Co. The goal of GTAR is to design and conduct research across multiple frontier technologies, in order to enable novel discoveries and inventions, and to inform and develop next-generation solutions for the firm's clients and businesses.
As an AI Platform Engineer – Vice President at JPMorgan Chase within the Global Technology Applied Research (GTAR) center, you will engineer, operate, and evolve the shared platforms that enable GTAR researchers to develop, evaluate, and mature AI solutions in secure, scalable, firm-approved environments. You will own the cloud and compute foundation for AI research workloads, build reusable platform services and automation, and partner with researchers and enterprise technology teams to make experimentation reproducible, reliable, well-controlled, and ready for downstream integration.
Job responsibilities
- Own the architecture, technical roadmap, and day-to-day engineering of the team’s AI research platform.
- Design and operate secure, scalable cloud and CPU/GPU infrastructure, including clusters, workload scheduling, storage, networking, capacity planning, performance, and cost.
- Build reproducible, self-service research environments and platform automation using standardized container images, GPU software stacks, dependency and artifact management, infrastructure-as-code, CI/CD, and orchestration.
- Partner with researchers to translate requirements from LLM, agentic AI, model evaluation, retrieval, inference, and accelerator benchmarking projects into dependable platform capabilities, and prepare research prototypes for downstream integration through packaging, service interfaces, and operational-readiness reviews.
- Assess and onboard new AI infrastructure technologies, cloud services, accelerators, and developer tooling through practical benchmarks, architecture reviews, and controlled pilots.
Maintain reliable, well-controlled platforms through observability, incident response, patching and lifecycle management, access and data controls, risk and control evidence, operational documentation, and runbooks.
Required qualifications, capabilities, and skills
Master's degree in computer science, software engineering, computer engineering, information systems, or a related technical field, plus at least 4 years of relevant industry experience building or operating cloud, platform, or infrastructure systems.
Hands-on experience operating production-grade environments, including EC2, networking, storage, monitoring, and cost management.
Strong knowledge of Linux systems, containers, networking, storage, and distributed systems, with experience in orchestration or workload-scheduling technologies.
Experience with infrastructure-as-code and delivery automation using tools such as Terraform or CloudFormation, configuration management, and CI/CD pipelines.
Proficiency in Python and shell scripting, with sound software engineering practices for building maintainable automation, services, and platform integrations.
Working knowledge of AI/ML development workflows and demonstrated ability to translate research requirements into platform designs, communicate technical trade-offs, manage delivery dependencies, and drive risk and control items to closure.
Experience in one or more of the following domains: cloud and accelerated compute platforms (e.g., AWS, CPU/GPU infrastructure, autoscaling, workload scheduling, resource quotas, capacity planning); research environments and developer platforms (e.g., containers, Jupyter, package and dependency management, artifact repositories, experiment tracking, self-service tooling); AI workload enablement (e.g., LLM inference and evaluation, agentic workflows, retrieval pipelines, model-serving infrastructure, distributed processing); reliability and operations (e.g., observability, service-level objectives, incident response, resilience, backup and recovery, operational readiness)
Preferred qualifications, capabilities, and skills
- Experience supporting AI/ML research or development teams and operating platforms for GPU-intensive, LLM, agentic, or other distributed AI workloads.
- Experience with Kubernetes or managed container platforms, GPU software stacks, cluster schedulers or distributed-compute frameworks such as Slurm or Ray, observability platforms, and cloud cost optimization.
- Experience delivering infrastructure in a regulated enterprise and working with cybersecurity, architecture, technology risk, and audit stakeholders.
- Familiarity with finance or financial use cases.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
Skills Required
- Master's degree in computer science, software engineering, computer engineering, information systems, or a related technical field
- At least 4 years of relevant industry experience building or operating cloud, platform, or infrastructure systems
- Hands-on experience operating production-grade environments, including EC2, networking, storage, monitoring, and cost management
- Strong knowledge of Linux systems, containers, networking, storage, and distributed systems
- Experience with orchestration or workload-scheduling technologies
- Experience with infrastructure-as-code, configuration management, CI/CD pipelines, and delivery automation
- Proficiency in Python and shell scripting
- Software engineering experience building maintainable automation, services, and platform integrations
- Working knowledge of AI/ML development workflows
- Ability to translate research requirements into platform designs, communicate technical trade-offs, manage delivery dependencies, and close risk and control items
- Experience in cloud and accelerated compute platforms, research and developer platforms, AI workload enablement, or reliability and operations
- Experience supporting AI/ML research or development teams and GPU-intensive, LLM, agentic, or distributed AI workloads
- Experience with Kubernetes or managed container platforms, GPU software stacks, Slurm, Ray, observability platforms, or cloud cost optimization
- Experience delivering infrastructure in a regulated enterprise and working with cybersecurity, architecture, technology risk, and audit stakeholders
- Familiarity with finance or financial use cases
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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