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 JobsINTRODUCTION
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. In this role, you’ll apply strong technical judgment to choose the right approaches (including modern LLM-based methods where appropriate), evaluate performance with rigorous metrics, and ensure solutions are reliable, secure, and scalable in real-world environments. You’ll also contribute to improving data quality and feedback loops, monitoring models in production, and continuously iterating to reduce agent effort, shorten resolution times, and increase consistency and quality across operational workflows.
As an Applied AI Engineer-Senior Associate within the Consumer & Community Banking Machine Learning team, you will work with an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
JOB RESPONSIBILITIES
- Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
- Develops secure and high-quality production code, and reviews and debugs code written by others
- Drives decisions that influence the product design, application functionality, and technical operations and processes
- Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
- Influences peers and project decision-makers to consider the use and application of leading-edge technologies
- Drive innovation in machine learning solutions, ensuring scalability, flexibility, and future-proof architecture
- Act as a thought leader and trusted advisor to executive leadership, providing strategic recommendations on machine learning initiatives and solutions
- Architect and oversee the development of next-generation machine learning models and systems leveraging cutting-edge technologies
- Ensure the platform supports complex use cases, including real-time predictions, big data processing, and advanced analytics
- Promote software and model quality, integrity, and security across the organization
BASIC QUALIFICATIONS
- Undergraduate and master’s degrees in Computer Science or similar, with training and work experience in LLM/NLP and search.
- Proven track record of building and scaling software and or machine learning platforms in high-growth or enterprise environments
- Experience in machine learning frameworks, ML Ops tools and practices.
- Strong proficiency in engineering programming languages (e.g., Python, Java) and infrastructure as code (e.g., Terraform, CloudFormation)
- Proficient in building AI Agents (e.g., LangChain, LangGraph, AutoGen), integration of tools (e.g., API) and RAG based solutions (e.g., open search)
- Hands-on experience with software development pipeline and orchestration tools (e.g., Jenkins, GitLab CI/CD)
PREFERRED QUALIFICATIONS
- Optional, great to have - experience in developing large-scale machine learning solutions based on big data to solve real world problems (e.g. Classification, Regression, or Recommender Systems).
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.
INTRODUCTION
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. In this role, you’ll apply strong technical judgment to choose the right approaches (including modern LLM-based methods where appropriate), evaluate performance with rigorous metrics, and ensure solutions are reliable, secure, and scalable in real-world environments. You’ll also contribute to improving data quality and feedback loops, monitoring models in production, and continuously iterating to reduce agent effort, shorten resolution times, and increase consistency and quality across operational workflows.
As an Applied AI Engineer-Senior Associate within the Consumer & Community Banking Machine Learning team, you will work with an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
JOB RESPONSIBILITIES
- Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
- Develops secure and high-quality production code, and reviews and debugs code written by others
- Drives decisions that influence the product design, application functionality, and technical operations and processes
- Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
- Influences peers and project decision-makers to consider the use and application of leading-edge technologies
- Drive innovation in machine learning solutions, ensuring scalability, flexibility, and future-proof architecture
- Act as a thought leader and trusted advisor to executive leadership, providing strategic recommendations on machine learning initiatives and solutions
- Architect and oversee the development of next-generation machine learning models and systems leveraging cutting-edge technologies
- Ensure the platform supports complex use cases, including real-time predictions, big data processing, and advanced analytics
- Promote software and model quality, integrity, and security across the organization
BASIC QUALIFICATIONS
- Undergraduate and master’s degrees in Computer Science or similar, with training and work experience in LLM/NLP and search.
- Proven track record of building and scaling software and or machine learning platforms in high-growth or enterprise environments
- Experience in machine learning frameworks, ML Ops tools and practices.
- Strong proficiency in engineering programming languages (e.g., Python, Java) and infrastructure as code (e.g., Terraform, CloudFormation)
- Proficient in building AI Agents (e.g., LangChain, LangGraph, AutoGen), integration of tools (e.g., API) and RAG based solutions (e.g., open search)
- Hands-on experience with software development pipeline and orchestration tools (e.g., Jenkins, GitLab CI/CD)
PREFERRED QUALIFICATIONS
- Optional, great to have - experience in developing large-scale machine learning solutions based on big data to solve real world problems (e.g. Classification, Regression, or Recommender Systems).
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 38+ Applied AI Engineer at JPMorganChase jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Applied AI Engineer at JPMorganChase roles.
Get Access To All JobsTips for Finding Applied AI Engineer Jobs at JPMorganChase Jobs
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.
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.
Applied AI Engineer at JPMorganChase jobs are hiring across the US. Find yours.
Find Applied AI Engineer at JPMorganChase JobsFrequently 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 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, 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.
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