AI ML Engineer Jobs at JPMorganChase with Visa Sponsorship
JPMorganChase builds AI and machine learning infrastructure at the intersection of finance, risk, and compliance, making technical depth and domain awareness equally important for AI ML Engineers. The company has a consistent track record of sponsoring work visas across engineering functions, including for international candidates.
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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 95+ AI ML Engineer at JPMorganChase jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI ML Engineer at JPMorganChase roles.
Get Access To All JobsTips for Finding AI ML Engineer Jobs at JPMorganChase Jobs
Align your credentials to financial AI applications
JPMorganChase prioritizes AI ML Engineers who can connect model development to regulated financial contexts like fraud detection, credit risk, and algorithmic trading. Frame your portfolio projects around production systems, not just research, before applying.
Target roles in established engineering centers
JPMorganChase concentrates AI ML hiring across specific locations including New York, Columbus, and Plano. Applying to postings in these hubs increases your odds of reaching a team with an established sponsorship workflow and dedicated immigration counsel.
Understand the LCA requirement before your start date
Before your H-1B or E-3 can be filed, your employer must certify a Labor Condition Application with the DOL confirming your offered wage meets prevailing wage standards. Budget at least two to four weeks for this step and confirm it is underway after signing your offer.
Search for open roles using Migrate Mate
Use Migrate Mate to filter AI ML Engineer openings at JPMorganChase by visa type. This lets you focus exclusively on roles that match your sponsorship eligibility instead of sifting through listings that require existing work authorization.
Plan for PERM if permanent residency is your goal
If you are targeting a Green Card through the EB-2 or EB-3 pathway, the PERM labor certification process begins with the employer, not USCIS. Raise your long-term immigration goals with your manager or HR contact within your first year to get on the internal queue early.
AI ML Engineer at JPMorganChase jobs are hiring across the US. Find yours.
Find AI ML Engineer at JPMorganChase JobsFrequently Asked Questions
Does JPMorganChase sponsor H-1B visas for AI ML Engineers?
Yes, JPMorganChase sponsors H-1B visas for AI ML Engineers. The company has an active sponsorship program across its engineering functions and works with dedicated immigration counsel to manage filings. If you are subject to the H-1B cap, your petition would be submitted in the April lottery cycle, with employment starting October 1 if selected.
How do I apply for AI ML Engineer jobs at JPMorganChase?
Applications go through JPMorganChase's careers portal. Roles are listed by specific team and location, so filtering by keyword and city helps narrow relevant postings. You can also browse current AI ML Engineer openings at JPMorganChase filtered by visa type on Migrate Mate, which surfaces only roles open to sponsored candidates.
Which visa types does JPMorganChase commonly use for AI ML Engineers?
JPMorganChase sponsors H-1B, H-1B1, and E-3 visas for AI ML Engineers, as well as employer-sponsored Green Card pathways through EB-2 and EB-3 classifications. Australian citizens are eligible for the E-3, and Chilean and Singaporean nationals can apply under the H-1B1, both of which have no lottery and faster timelines than the standard H-1B cap process.
What qualifications does JPMorganChase expect for AI ML Engineer roles?
Most AI ML Engineer postings at JPMorganChase expect a bachelor's or master's degree in computer science, statistics, or a related quantitative field. Practical experience with production machine learning systems, proficiency in Python, and familiarity with MLOps tooling are consistently required. Experience in financial services, particularly around risk modeling, fraud detection, or natural language processing for compliance, strengthens your application significantly.
How long does the visa sponsorship process typically take at JPMorganChase?
Timeline depends on your visa category. E-3 and H-1B1 applications are processed directly at a U.S. consulate and can move within a few weeks of receiving employer documents. H-1B petitions for cap-subject candidates follow USCIS's annual lottery cycle, meaning a gap of up to six months between offer and start date is common. USCIS premium processing, which returns a decision within 15 business days, is available for H-1B petitions.
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