AI Engineer Jobs at JPMorganChase with Visa Sponsorship
JPMorganChase builds AI Engineering teams across consumer banking, institutional services, and risk infrastructure, sponsoring work visas for qualified candidates in this function. If you're targeting a role here, the company has a consistent track record of supporting international hires through the full petition process.
See All AI Engineer at JPMorganChase JobsOverview
Showing 5 of 149+ AI Engineer Jobs at JPMorganChase jobs
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all 149+ AI Engineer Jobs at JPMorganChase
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Engineer Jobs at JPMorganChase.
Get Access To All JobsINTRODUCTION
Generative artificial intelligence is transforming how we build products, serve clients, and operate at scale. In the Chief Data and Analytics Office, you will help turn advanced models into dependable, secure, and high-performing production services. You will work with partners across machine learning, cloud engineering, and site reliability engineering to deliver solutions with clear return on investment. If you enjoy hands-on engineering, real-world constraints, and high-impact delivery, this role is for you.
As a Senior Associate, Generative AI Engineer in the Chief Data and Analytics Office, you will help design, build, and support production generative artificial intelligence products and reusable backend application programming interfaces used across the firm. You will combine large enterprise datasets with large language and multimodal models to deliver scalable, measurable solutions. You will collaborate closely with machine learning, cloud engineering, and site reliability engineering partners to ensure reliability, performance, and strong operational controls. You will contribute to technical design decisions, delivery planning, and continuous improvement of our platforms and products.
Responsibilities
- Build and operate production generative artificial intelligence services and reusable backend application programming interfaces for firmwide use
- Combine enterprise data assets with large language and multimodal models to deliver high-quality user experiences
- Design scalable architectures with clear interfaces and separation of concerns to enable broader developer adoption
- Implement batch and real-time processing patterns to support high-throughput, low-latency use cases
- Collaborate with cloud engineering and site reliability engineering partners to deliver resilient, observable systems
- Translate research concepts into production-ready software through experimentation, evaluation, and iterative hardening
- Optimize system performance, scalability, and cost across inference, storage, and compute
- Define and track measurable outcomes, including objectives and key results aligned to business needs
- Ensure responsible artificial intelligence practices, controls, and governance are embedded into delivery and operations
- Troubleshoot production issues, drive root-cause analysis, and implement preventative improvements
BASIC QUALIFICATIONS
- PhD in a quantitative discipline such as Computer Science, Mathematics, or Statistics, or equivalent practical experience
- 3+ years of experience as an individual contributor in machine learning engineering or applied machine learning software engineering
- Demonstrated experience delivering production machine learning services in an enterprise environment, including being accountable for service health
- Strong fundamentals in statistics, optimization, and machine learning theory with applied depth in natural language processing and/or computer vision
- Hands-on experience building distributed, multi-threaded, and scalable systems (for example Ray, Horovod, or DeepSpeed)
- Strong software engineering fundamentals, including data structures, algorithms, and software development lifecycle best practices
- Experience designing and delivering service-oriented systems and application programming interfaces with scalability and performance requirements
- Ability to define success metrics and write clear objectives and key results aligned to business expectations
- Strong problem-framing skills to align machine learning solutions to business objectives and constraints
- Excellent communication skills with the ability to influence and build trust across technical and non-technical stakeholders
PREFERRED QUALIFICATIONS
- Experience designing and implementing pipeline workflows using directed acyclic graph frameworks (for example Kubeflow, DVC, or Ray)
- Experience building batch and streaming microservices exposed via gRPC and/or GraphQL
- Demonstrable experience with parameter-efficient fine-tuning, quantization, and quantization-aware fine-tuning for large language models
- Experience with advanced prompting strategies such as chain-of-thought, tree-of-thought, or graph-of-thought approaches
- Experience with multimodal large language model use cases (text plus image, speech, or video)
- Experience partnering closely with cloud engineering and site reliability engineering teams on production readiness and operations
- Experience measuring and improving model quality using offline evaluation and production monitoring
About us
JPMorgan Chase, 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 Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You’ll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.
INTRODUCTION
Generative artificial intelligence is transforming how we build products, serve clients, and operate at scale. In the Chief Data and Analytics Office, you will help turn advanced models into dependable, secure, and high-performing production services. You will work with partners across machine learning, cloud engineering, and site reliability engineering to deliver solutions with clear return on investment. If you enjoy hands-on engineering, real-world constraints, and high-impact delivery, this role is for you.
As a Senior Associate, Generative AI Engineer in the Chief Data and Analytics Office, you will help design, build, and support production generative artificial intelligence products and reusable backend application programming interfaces used across the firm. You will combine large enterprise datasets with large language and multimodal models to deliver scalable, measurable solutions. You will collaborate closely with machine learning, cloud engineering, and site reliability engineering partners to ensure reliability, performance, and strong operational controls. You will contribute to technical design decisions, delivery planning, and continuous improvement of our platforms and products.
Responsibilities
- Build and operate production generative artificial intelligence services and reusable backend application programming interfaces for firmwide use
- Combine enterprise data assets with large language and multimodal models to deliver high-quality user experiences
- Design scalable architectures with clear interfaces and separation of concerns to enable broader developer adoption
- Implement batch and real-time processing patterns to support high-throughput, low-latency use cases
- Collaborate with cloud engineering and site reliability engineering partners to deliver resilient, observable systems
- Translate research concepts into production-ready software through experimentation, evaluation, and iterative hardening
- Optimize system performance, scalability, and cost across inference, storage, and compute
- Define and track measurable outcomes, including objectives and key results aligned to business needs
- Ensure responsible artificial intelligence practices, controls, and governance are embedded into delivery and operations
- Troubleshoot production issues, drive root-cause analysis, and implement preventative improvements
BASIC QUALIFICATIONS
- PhD in a quantitative discipline such as Computer Science, Mathematics, or Statistics, or equivalent practical experience
- 3+ years of experience as an individual contributor in machine learning engineering or applied machine learning software engineering
- Demonstrated experience delivering production machine learning services in an enterprise environment, including being accountable for service health
- Strong fundamentals in statistics, optimization, and machine learning theory with applied depth in natural language processing and/or computer vision
- Hands-on experience building distributed, multi-threaded, and scalable systems (for example Ray, Horovod, or DeepSpeed)
- Strong software engineering fundamentals, including data structures, algorithms, and software development lifecycle best practices
- Experience designing and delivering service-oriented systems and application programming interfaces with scalability and performance requirements
- Ability to define success metrics and write clear objectives and key results aligned to business expectations
- Strong problem-framing skills to align machine learning solutions to business objectives and constraints
- Excellent communication skills with the ability to influence and build trust across technical and non-technical stakeholders
PREFERRED QUALIFICATIONS
- Experience designing and implementing pipeline workflows using directed acyclic graph frameworks (for example Kubeflow, DVC, or Ray)
- Experience building batch and streaming microservices exposed via gRPC and/or GraphQL
- Demonstrable experience with parameter-efficient fine-tuning, quantization, and quantization-aware fine-tuning for large language models
- Experience with advanced prompting strategies such as chain-of-thought, tree-of-thought, or graph-of-thought approaches
- Experience with multimodal large language model use cases (text plus image, speech, or video)
- Experience partnering closely with cloud engineering and site reliability engineering teams on production readiness and operations
- Experience measuring and improving model quality using offline evaluation and production monitoring
About us
JPMorgan Chase, 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 Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You’ll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.
See all 149+ AI Engineer at JPMorganChase jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Engineer at JPMorganChase roles.
Get Access To All JobsTips for Finding AI Engineer Jobs at JPMorganChase Jobs
Tailor your resume to financial AI
JPMorganChase AI Engineer roles emphasize applied ML in fraud detection, algorithmic trading, and risk modeling. Frame your experience around production systems and measurable outcomes, not research prototypes. Generic ML resumes get filtered before they reach a hiring manager.
Target internal mobility and return offers
JPMorganChase actively converts interns and contractors into full-time sponsored hires. If you're on OPT, a co-op or summer internship gives you a direct path to sponsorship before your 60-day grace period ever becomes a concern.
Search verified sponsoring employers on Migrate Mate
Filter AI Engineer openings at JPMorganChase using Migrate Mate, which surfaces roles by visa type and filing history. This saves you from applying to postings where sponsorship eligibility is ambiguous or has to be confirmed mid-process.
Prepare a degree equivalency letter proactively
USCIS requires AI Engineer petitions to demonstrate specialty occupation status. If your degree is from outside the U.S. or is in an adjacent field like physics or statistics, get a credential evaluation done before your I-129 is filed, not after an RFE arrives.
AI Engineer at JPMorganChase jobs are hiring across the US. Find yours.
Find AI Engineer at JPMorganChase JobsFrequently Asked Questions
Does JPMorganChase sponsor H-1B visas for AI Engineers?
Yes, JPMorganChase sponsors H-1B visas for AI Engineers. The company's legal team manages the I-129 petition process, including premium processing where timelines require it. Because JPMorganChase operates at scale across financial services and technology, its immigration infrastructure is well-established for this function compared to smaller firms navigating sponsorship for the first time.
Which visa types does JPMorganChase commonly use for AI Engineer roles?
JPMorganChase sponsors H-1B, H-1B1, and E-3 visas for AI Engineers depending on your nationality. Australian citizens are eligible for the E-3, which has no lottery and allows biennial renewals. H-1B1 applies to Chilean and Singaporean nationals. For longer-term pathways, the company also pursues EB-2 and EB-3 Green Card sponsorship for retained engineering staff.
What qualifications does JPMorganChase expect for AI Engineer roles?
Most AI Engineer roles at JPMorganChase require a bachelor's degree or higher in computer science, engineering, applied mathematics, or a closely related field. Hands-on experience with large-scale ML pipelines, model deployment in production environments, and familiarity with financial data domains like risk, fraud, or market analytics strengthens your application significantly. Advanced degrees are common but not universally required.
How do I apply for AI Engineer jobs at JPMorganChase?
You can browse and apply for AI Engineer openings at JPMorganChase directly through their careers portal or through Migrate Mate, which filters roles by visa sponsorship type so you can confirm eligibility before applying. When submitting your application, be specific about your visa status in any early screening questions. Recruiters at JPMorganChase route candidates to the appropriate legal team once an offer is extended.
How do I plan my timeline around JPMorganChase's H-1B sponsorship process?
USCIS opens H-1B registration in early March each year, with the lottery drawing shortly after. If selected, your employer files the full petition by the end of June for an October 1 start date. If you're on OPT, make sure your STEM extension or existing OPT authorization covers you through that gap. Starting conversations with your JPMorganChase recruiter in the fall or winter before the cap season gives enough runway to prepare.
See which AI Engineer at JPMorganChase employers are hiring and sponsoring visas right now.
Search AI Engineer at JPMorganChase Jobs