AI Product Engineer Jobs at JPMorganChase with Visa Sponsorship
JPMorganChase builds AI product teams that sit at the intersection of financial services and enterprise-scale technology. For international candidates, the firm has a consistent track record of sponsoring work visas for engineering and product roles across its technology division.
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JPMorganChase AI Research is a global team of research scientists, engineers and product managers that develops novel AI capabilities and partners across the firm to translate breakthrough AI/ML techniques into deployed solutions. The team brings together researchers across multi-agent systems, foundation model training, reinforcement and continual learning, multimodal document AI, formal reasoning, planning and verification, and synthetic data generation - alongside experts in trustworthy AI, privacy, and cryptography - to solve hard problems end-to-end in ways that are secure, reliable, and scalable in financial services. AI Research sits within the Chief Data & Analytics Office (CDAO) at JPMorganChase which is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the firm's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management, effectively and responsibly. As an Executive Director / Research Director in AI Research, you will work on developing novel techniques, tools, and frameworks to model and solve complex large-scale problems in the bank. You will develop a close understanding of the challenges in practical applications of AI and leverage that understanding to formulate new research directions and solutions that can shift the frontier. Your work will span from early-stage innovation and rigorous evaluation to production-scale delivery in close collaboration with engineering and product teams.
Job Responsibilities
- Work on multiple commercially oriented research projects in collaboration with internal data scientists, applied engineering teams and stakeholders across businesses e.g. Commercial & Investment Banking (including Markets), Asset & Wealth Management, Consumer & Community Banking, etc.
- Formulate problems, generate hypotheses, develop new algorithms and models, conduct experiments and rigorous evaluations, synthesize and communicate results, and deliver well-tested, high-quality code.
- Contribute to high-impact business applications, reusable assets and products, and research initiatives.
- Provide thought leadership on internal and external forums through white papers, publications and presentations.
- Own a portfolio of capabilities, drive strategic directions and prioritization within the portfolio including business stakeholder engagement, development of relevant reusable capabilities or products, and initiation of new research initiatives that can drive business impact.
Required Qualifications, Capabilities, And Skills
- PhD in Computer Science, Engineering, or related fields with relevant research experience in AI/ML and 5+ years of relevant work experience
- Research publications in top-tier AI/ML venues (e.g., conferences, journals) – broad conferences such as NeurIPS, ICML, ICLR, etc., or highly regarded specialized conferences such as ICAPS, CRYPTO, etc.
- Deep understanding of fundamental AI/ML techniques and a strong grasp of current state of the art in specific areas of expertise
- Practical experience with statistical data analysis, experimental design and creation of meaningful benchmarks and metrics for evaluation.
- Effective verbal and written communication skills with the ability to address both technical and business audiences.
- Practical software development experience in collaborative project settings such as open-source projects or industry experience. Ability to deliver modular, optimized, high-quality Python code with tests.
- Proven ability to translate business requirements into technical problem formations and deliver novel solutions into production. Motivated to make an impact on problems in the financial services domain. Curiosity, creativity, resourcefulness, and a collaborative spirit
- We are looking for researchers across multiple areas of specialization, including: Synthetic Data Generation across multiple modalities (tabular, images, time-series, etc.), synthetic personas and agent simulations. Multimodal agent security and safety, alignment, guardrails, red teaming, data privacy and unlearning. Continual learning for agents (e.g. memory-based, model-based including reinforcement learning and post-training). Advanced multi-agent systems including coordination, negotiation, deep research, and hybrid/neuro-symbolic approaches. Foundation model training for tabular, time-series, language and other modalities. Multimodal information discovery, understanding and predictive modeling spanning multiple modalities e.g. websites, news, audio, speech, documents, images, etc. Formal methods (e.g., temporal logic, constraint programming, model checking, automated planning, theorem proving, SMT/SAT solving) and program/hardware verification.
Preferred Qualifications, Capabilities, And Skills
- Practical experience with ML libraries (e.g. PyTorch, TensorFlow/Keras, HuggingFace Transformers etc.) and agent frameworks (e.g. LangGraph, Google ADK, etc.)
- Familiarity with common formal verification tools and languages (e.g., Coq/Isabelle/Lean, TLA+, Alloy, Z3, PDDL)
About us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. 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
About The Team
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
Job Description
JPMorganChase AI Research is a global team of research scientists, engineers and product managers that develops novel AI capabilities and partners across the firm to translate breakthrough AI/ML techniques into deployed solutions. The team brings together researchers across multi-agent systems, foundation model training, reinforcement and continual learning, multimodal document AI, formal reasoning, planning and verification, and synthetic data generation - alongside experts in trustworthy AI, privacy, and cryptography - to solve hard problems end-to-end in ways that are secure, reliable, and scalable in financial services. AI Research sits within the Chief Data & Analytics Office (CDAO) at JPMorganChase which is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the firm's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management, effectively and responsibly. As an Executive Director / Research Director in AI Research, you will work on developing novel techniques, tools, and frameworks to model and solve complex large-scale problems in the bank. You will develop a close understanding of the challenges in practical applications of AI and leverage that understanding to formulate new research directions and solutions that can shift the frontier. Your work will span from early-stage innovation and rigorous evaluation to production-scale delivery in close collaboration with engineering and product teams.
Job Responsibilities
- Work on multiple commercially oriented research projects in collaboration with internal data scientists, applied engineering teams and stakeholders across businesses e.g. Commercial & Investment Banking (including Markets), Asset & Wealth Management, Consumer & Community Banking, etc.
- Formulate problems, generate hypotheses, develop new algorithms and models, conduct experiments and rigorous evaluations, synthesize and communicate results, and deliver well-tested, high-quality code.
- Contribute to high-impact business applications, reusable assets and products, and research initiatives.
- Provide thought leadership on internal and external forums through white papers, publications and presentations.
- Own a portfolio of capabilities, drive strategic directions and prioritization within the portfolio including business stakeholder engagement, development of relevant reusable capabilities or products, and initiation of new research initiatives that can drive business impact.
Required Qualifications, Capabilities, And Skills
- PhD in Computer Science, Engineering, or related fields with relevant research experience in AI/ML and 5+ years of relevant work experience
- Research publications in top-tier AI/ML venues (e.g., conferences, journals) – broad conferences such as NeurIPS, ICML, ICLR, etc., or highly regarded specialized conferences such as ICAPS, CRYPTO, etc.
- Deep understanding of fundamental AI/ML techniques and a strong grasp of current state of the art in specific areas of expertise
- Practical experience with statistical data analysis, experimental design and creation of meaningful benchmarks and metrics for evaluation.
- Effective verbal and written communication skills with the ability to address both technical and business audiences.
- Practical software development experience in collaborative project settings such as open-source projects or industry experience. Ability to deliver modular, optimized, high-quality Python code with tests.
- Proven ability to translate business requirements into technical problem formations and deliver novel solutions into production. Motivated to make an impact on problems in the financial services domain. Curiosity, creativity, resourcefulness, and a collaborative spirit
- We are looking for researchers across multiple areas of specialization, including: Synthetic Data Generation across multiple modalities (tabular, images, time-series, etc.), synthetic personas and agent simulations. Multimodal agent security and safety, alignment, guardrails, red teaming, data privacy and unlearning. Continual learning for agents (e.g. memory-based, model-based including reinforcement learning and post-training). Advanced multi-agent systems including coordination, negotiation, deep research, and hybrid/neuro-symbolic approaches. Foundation model training for tabular, time-series, language and other modalities. Multimodal information discovery, understanding and predictive modeling spanning multiple modalities e.g. websites, news, audio, speech, documents, images, etc. Formal methods (e.g., temporal logic, constraint programming, model checking, automated planning, theorem proving, SMT/SAT solving) and program/hardware verification.
Preferred Qualifications, Capabilities, And Skills
- Practical experience with ML libraries (e.g. PyTorch, TensorFlow/Keras, HuggingFace Transformers etc.) and agent frameworks (e.g. LangGraph, Google ADK, etc.)
- Familiarity with common formal verification tools and languages (e.g., Coq/Isabelle/Lean, TLA+, Alloy, Z3, PDDL)
About us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. 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
About The Team
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
See all AI Product Engineer Jobs at JPMorganChase
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Product Engineer Jobs at JPMorganChase.
Get Access To All JobsTips for Finding AI Product Engineer Jobs at JPMorganChase
Tailor your portfolio to financial AI use cases
JPMorganChase prioritizes AI product work tied to real-world financial applications like risk modeling, fraud detection, and trading systems. Showcase projects that demonstrate applied ML or LLM experience in regulated, data-intensive environments, not just research-oriented work.
Target roles within the firm's AI Research division
JPMorganChase houses a dedicated AI Research organization. Roles posted under this division often involve deeper product-engineering ownership. Filtering for these positions puts you in front of hiring managers actively building teams around generative AI and applied research pipelines.
Clarify your visa category before the offer stage
H-1B, E-3, and H-1B1 visa are all used for engineering roles at large financial firms. Knowing which category applies to your nationality lets you ask informed questions during negotiations and avoids delays when JPMorganChase's legal team initiates the sponsorship filing process.
Expect PERM for permanent residence pathways
JPMorganChase files PERM labor certifications for EB-2 and EB-3 green card sponsorship. These processes are DOL-driven and can span multiple years. Raise the topic of permanent residence sponsorship during your offer negotiation, not after you've already started.
Use Migrate Mate to surface open AI Product Engineer roles
JPMorganChase posts AI product engineering positions across multiple divisions, and openings move quickly. Use Migrate Mate to filter specifically for JPMorganChase roles that align with your visa type so you're applying to positions where sponsorship is already confirmed.
Prepare credentials for specialty occupation documentation
USCIS requires that H-1B petitions demonstrate the role qualifies as a specialty occupation. For AI product roles, this means your degree field must align directly with the position. A transcript review and a degree equivalency evaluation are worth completing before your employer files Form I-129.
Frequently Asked Questions
Does JPMorganChase sponsor H-1B visas for AI Product Engineers?
Yes, JPMorganChase sponsors H-1B visas for AI Product Engineer roles. The firm is a large, established H-1B employer with a dedicated immigration legal team that manages filings across its technology and product divisions. If you're subject to the H-1B cap, your employer will register you in the annual USCIS lottery, which opens each spring for an October 1 start date.
How do I apply for AI Product Engineer jobs at JPMorganChase?
You can apply through JPMorganChase's careers portal or through Migrate Mate, which filters open AI Product Engineer roles at JPMorganChase by visa sponsorship eligibility. Applications typically involve a resume screen, technical assessment, and multiple interview rounds covering system design, ML fundamentals, and product thinking specific to financial services contexts.
Which visa types does JPMorganChase use for AI Product Engineer roles?
JPMorganChase sponsors H-1B, H-1B1 visa, and E-3 visas for engineering and product roles, depending on your nationality. Australian citizens qualify for the E-3, which has a dedicated annual allocation and no lottery. Chilean and Singaporean nationals may qualify for the H-1B1. For long-term permanent residence, JPMorganChase also supports EB-2 and EB-3 Green Card sponsorship through PERM labor certification.
What qualifications are expected for AI Product Engineer roles at JPMorganChase?
Most AI Product Engineer roles at JPMorganChase expect a bachelor's or master's degree in computer science, machine learning, or a closely related field. Hands-on experience building and deploying AI or ML systems at scale is weighted heavily. Familiarity with financial services domains, such as risk, fraud, or trading, strengthens your candidacy, as does experience working within regulated technology environments.
How long does the visa sponsorship process take at JPMorganChase?
Timeline depends on visa type. E-3 and H-1B1 visa petitions can be processed in a few weeks if filed at a U.S. consulate abroad. H-1B transfers for candidates already in valid status can begin on a receipt notice, so work authorization continues without a gap. PERM-based Green Card sponsorship is a multi-year process driven by DOL review timelines and your priority date under the EB-2 or EB-3 category.