Applied AI Engineer Jobs at JPMorganChase with Visa Sponsorship
Applied AI Engineer roles at JPMorganChase sit at the intersection of large-scale financial systems and cutting-edge machine learning, building production AI across trading, risk, and consumer products. JPMorganChase has a strong track record of sponsoring international engineers across multiple visa categories for this function.
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Get Access To All JobsJob Description
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. You'll have the opportunity to publish at top-tier venues like NeurIPS, ICML, and ACL—and see that research deployed to a user base of over 80 million customers. As an AI Agents Applied Research - Engineering Executive Director in our The Digital Team, you will work with the team to shape how millions of customers discover, decide, and act—turning multi-step financial tasks into simple conversations. You'll lead the end-to-end lifecycle of LLM-based agents: defining research directions in areas like multi-step planning, tool use, and safety; building production systems that perform under real-world latency, accuracy, and compliance constraints; and partnering with Product, Engineering, Design, and Risk teams to bring those systems to market. The problems here are genuinely unusual—building AI that must be not just accurate but auditable, explainable, and safe in a highly regulated, high-stakes domain. Transform how millions of customers manage their money, make decisions, and get more from their financial relationships through a human-centered approach that blends cutting-edge AI with clear, trustworthy experiences.
Job Responsibilities
- Lead research and deployment of agentic AI systems with multi-step workflows, tool calling, and multi-agent orchestration.
- Fine-tune and optimize LLMs using parameter-efficient fine-tuning (PEFT), distillation, and quantization to meet production constraints such as latency, memory, and cost.
- Apply reinforcement learning and preference optimization to improve personalization and dialogue policies.
- Scale LLM systems through caching, batching, prompt governance, and evaluation frameworks.
- Implement privacy, safety, and security controls including PCI compliance, jailbreak resistance, and auditability.
- Design rigorous experiments with strong baselines and meaningful metrics.
- Define and track success metrics for agent performance, including task completion rate, accuracy, latency, and customer satisfaction.
Required Qualifications, Capabilities, And Skills
- Ph.D. with 8+ years or M.S. with 12+ years building and deploying AI systems in production
- Applied GenAI experience with LLMs including fine-tuning, prompt engineering, and RAG.
- Experience scaling LLM systems with caching, batching, governance, and evaluation.
- Strong foundation in ML, deep learning, statistical modeling, and experimental design.
- Experience in Information Retrieval (indexing, ranking, retrieval) and/or recommendation systems.
- Proficiency in Python and ML frameworks (PyTorch/TensorFlow, Hugging Face, scikit-learn)
- Demonstrated ability to set a technical research agenda and drive it from concept through production deployment.
- Experience presenting research findings and technical strategy to senior leadership and non-technical stakeholders.
Preferred Qualifications, Capabilities, And Skills
- 5+ years developing conversational AI systems, virtual assistants or LLM-based systems in production.
- Experience with multi-agent orchestration, supervisor agents, and specialized toolkits.
- Expertise in agent governance, red-teaming, adversarial testing, and safety evaluation.
- Experience with reinforcement learning, bandit algorithms, and preference-based optimization (DPO, IPO), with practical exposure to data collection, labeling, and evaluation pipelines.
- MLOps/LLMOps experience with CI/CD, monitoring, versioning, A/B testing, and rollbacks.
- Track record of data-driven product development and experimentation.
- Publications in top-tier AI/ML venues and/or open-source contributions
FEDERAL DEPOSIT INSURANCE ACT: This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorganChase's review of criminal conviction history, including pretrial diversions or program entries.
About us
Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 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. Equal Opportunity Employer/Disability/Veterans
About The Team
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction. The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.
Job Description
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. You'll have the opportunity to publish at top-tier venues like NeurIPS, ICML, and ACL—and see that research deployed to a user base of over 80 million customers. As an AI Agents Applied Research - Engineering Executive Director in our The Digital Team, you will work with the team to shape how millions of customers discover, decide, and act—turning multi-step financial tasks into simple conversations. You'll lead the end-to-end lifecycle of LLM-based agents: defining research directions in areas like multi-step planning, tool use, and safety; building production systems that perform under real-world latency, accuracy, and compliance constraints; and partnering with Product, Engineering, Design, and Risk teams to bring those systems to market. The problems here are genuinely unusual—building AI that must be not just accurate but auditable, explainable, and safe in a highly regulated, high-stakes domain. Transform how millions of customers manage their money, make decisions, and get more from their financial relationships through a human-centered approach that blends cutting-edge AI with clear, trustworthy experiences.
Job Responsibilities
- Lead research and deployment of agentic AI systems with multi-step workflows, tool calling, and multi-agent orchestration.
- Fine-tune and optimize LLMs using parameter-efficient fine-tuning (PEFT), distillation, and quantization to meet production constraints such as latency, memory, and cost.
- Apply reinforcement learning and preference optimization to improve personalization and dialogue policies.
- Scale LLM systems through caching, batching, prompt governance, and evaluation frameworks.
- Implement privacy, safety, and security controls including PCI compliance, jailbreak resistance, and auditability.
- Design rigorous experiments with strong baselines and meaningful metrics.
- Define and track success metrics for agent performance, including task completion rate, accuracy, latency, and customer satisfaction.
Required Qualifications, Capabilities, And Skills
- Ph.D. with 8+ years or M.S. with 12+ years building and deploying AI systems in production
- Applied GenAI experience with LLMs including fine-tuning, prompt engineering, and RAG.
- Experience scaling LLM systems with caching, batching, governance, and evaluation.
- Strong foundation in ML, deep learning, statistical modeling, and experimental design.
- Experience in Information Retrieval (indexing, ranking, retrieval) and/or recommendation systems.
- Proficiency in Python and ML frameworks (PyTorch/TensorFlow, Hugging Face, scikit-learn)
- Demonstrated ability to set a technical research agenda and drive it from concept through production deployment.
- Experience presenting research findings and technical strategy to senior leadership and non-technical stakeholders.
Preferred Qualifications, Capabilities, And Skills
- 5+ years developing conversational AI systems, virtual assistants or LLM-based systems in production.
- Experience with multi-agent orchestration, supervisor agents, and specialized toolkits.
- Expertise in agent governance, red-teaming, adversarial testing, and safety evaluation.
- Experience with reinforcement learning, bandit algorithms, and preference-based optimization (DPO, IPO), with practical exposure to data collection, labeling, and evaluation pipelines.
- MLOps/LLMOps experience with CI/CD, monitoring, versioning, A/B testing, and rollbacks.
- Track record of data-driven product development and experimentation.
- Publications in top-tier AI/ML venues and/or open-source contributions
FEDERAL DEPOSIT INSURANCE ACT: This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorganChase's review of criminal conviction history, including pretrial diversions or program entries.
About us
Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 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. Equal Opportunity Employer/Disability/Veterans
About The Team
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction. The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.
See all 43+ Applied AI Engineer Jobs at JPMorganChase
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Applied AI Engineer Jobs at JPMorganChase.
Get Access To All JobsTips for Finding Applied AI Engineer Jobs at JPMorganChase
Align your portfolio to financial AI use cases
JPMorganChase evaluates Applied AI Engineers on production-grade ML experience, not research projects. Frame your work around deployed models, latency-sensitive inference, or risk-related applications rather than academic benchmarks.
Target teams with active LCA filings
Use DOL's OFLC disclosure data to identify which JPMorganChase business lines filed Labor Condition Applications for AI engineering roles recently. Teams with recent LCA activity have active hiring pipelines and established sponsorship workflows.
Clarify your visa type before the offer stage
JPMorganChase sponsors multiple visa categories for this role. If you hold E-3 or H-1B1 visa status, flag it early in recruiting. These categories skip the H-1B lottery entirely, which can accelerate your start date significantly.
Prepare credential equivalency documentation in advance
JPMorganChase's legal team will assess whether your degree meets specialty occupation requirements. If your computer science or engineering degree is from a non-U.S. institution, a credential evaluation from a NACES-member agency strengthens your petition.
Use Migrate Mate to filter open Applied AI Engineer roles at JPMorganChase
Sponsorship-confirmed job listings save you time when targeting a large employer like JPMorganChase. Migrate Mate filters specifically for visa-sponsoring roles, so you can focus your applications on positions already confirmed for sponsorship.
Understand internal transfer timing for H-1B holders
If you're transferring an existing H-1B to JPMorganChase, your new employer can file a portability petition while you work. USCIS portability rules allow you to start before approval, but JPMorganChase's HR team will need your prior I-797 receipt notice.
Frequently Asked Questions
Does JPMorganChase sponsor H-1B visas for Applied AI Engineers?
Yes, JPMorganChase sponsors H-1B visas for Applied AI Engineers. The role qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, engineering, or a related field. JPMorganChase also sponsors H-1B1 visa and E-3 visas for nationals of Singapore, Chile, and Australia respectively, which bypass the annual H-1B lottery.
How do I apply for Applied AI Engineer jobs at JPMorganChase?
Applications go through JPMorganChase's careers portal at jpmorganchase.com. Search for Applied AI Engineer or related ML engineering titles filtered by technology or corporate functions. Migrate Mate also lists open Applied AI Engineer roles at JPMorganChase with confirmed sponsorship, making it easier to identify active positions before applying directly.
Which visa types does JPMorganChase commonly use for Applied AI Engineer roles?
JPMorganChase uses H-1B, H-1B1 visa, E-3, and sponsors Green Card petitions via EB-2 and EB-3 categories for this function. Australians on E-3 and Singapore or Chile nationals on H-1B1 are often prioritized by recruiters because those categories have no lottery and faster processing compared to the standard H-1B cap.
What qualifications does JPMorganChase expect for Applied AI Engineer roles?
JPMorganChase typically requires a bachelor's or master's degree in computer science, machine learning, statistics, or a closely related field. Hands-on experience building and deploying ML models in production environments is weighted heavily. Familiarity with large language models, MLOps pipelines, or financial data applications is a practical differentiator for roles in their AI research and technology divisions.
How long does the H-1B sponsorship process take at a large employer like JPMorganChase?
For new H-1B cap-subject petitions, the timeline depends on the USCIS lottery in March and a standard October 1 start date. From offer to start, expect six to nine months. JPMorganChase's in-house immigration team handles filings, but premium processing, which USCIS processes within 15 business days, is available and sometimes used to confirm approval faster.