Senior AI Software Engineer Jobs at JPMorganChase with Visa Sponsorship
Senior AI Software Engineer roles at JPMorganChase sit at the intersection of large-scale financial systems and applied machine learning, spanning model development, MLOps, and production AI infrastructure. JPMorganChase has a well-established track record of sponsoring work visas for technical engineering roles at this level.
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JOB DESCRIPTION
Job Summary
As a Senior AI/ML Portfolio Lead, you will play a critical role in enabling AI/ML use cases during ideation, promoting them to our AI portfolio, and managing the portfolio. You will oversee the AI and machine learning portfolio, ensuring alignment with firmwide AI governance frameworks. This role partners closely with the Chief Data & Analytics Office (CDAO), AI4Tech programs, AITMC, CyberTwin initiatives, and other key stakeholders to ensure robust governance, risk management, and strategic portfolio execution of AI-driven technology solutions.
This position requires deep expertise in AI governance, portfolio management, and technology risk controls. You will drive strategic initiatives that align with JPMC's Protect the Firm strategy and AI governance standards.
Job Responsibilities
- Guide onboarding of AI/ML use cases for rapid ideation, manage secure user permissions, support experiments, analyze results, facilitate decision reviews, and maintain user engagement.
- Oversee the CTC AI/ML Lab platform with AWS services, supporting the full ML lifecycle (data preparation, model training, testing, deployment).
- Ensure adherence to JPMC data protection policies and AWS security best practices; implement access controls and encryption.
- Monitor ML model and platform infrastructure performance on AWS; optimize resource usage and scaling.
- Collaborate with data scientists, developers, and business units; facilitate training and support for platform users.
- Identify and mitigate risks related to model accuracy, data privacy, and cloud service disruptions.
- Lead AI portfolio management of AI/ML use cases that successfully graduate out of the ideation stage from the laboratory within CTC, overseeing use cases, model lifecycle governance (MDLC), and risk/compliance assessments with CDAO and AI4Tech teams.
- Ensure alignment with AI governance frameworks, including CAB approvals, model registration, and compliance with firm policies and regulatory requirements.
- Drive strategic planning, prioritization, and resource allocation for AI initiatives across technology and control environments.
- Lead cross-functional teams and influence senior stakeholders to foster responsible AI adoption and continuous improvement.
- Lead reporting and metrics to assess the impact of the AI portfolio on productivity, risk reduction, and employee experience, while representing CTC in firmwide AI governance forums to shape policy and advance industry leadership.
Required Qualifications, Capabilities, and Skills
- Minimum 7 years of experience in technology portfolio management, risk management, or AI governance within a large financial institution or comparable environment.
- Proficiency in AWS services (EC2, S3, Lambda, SageMaker), with strong ML concepts/workflows, and terraform experience.
- Ability to write/maintain scripts for automation and patch deployment; familiarity with Python, Java, or similar languages.
- Experience managing cloud-based infrastructure/applications; knowledge of system monitoring tools.
- Experience applying cybersecurity principles and practices in cloud environments by implementing security patches, ensuring compliance, diagnosing and resolving technical issues, and assessing the impact of patches and updates.
- Manage projects related to patch creation/deployment; coordinate with cross-functional teams and manage timelines.
- Proven leadership at SVP or equivalent level managing complex AI/ML portfolios or technology risk programs.
- Deep understanding of AI governance frameworks, model lifecycle management, regulatory compliance, and risk controls.
- Experience working with cross-functional teams (data science, tech ops, risk, compliance).
- Excellent communication, stakeholder management, and influencing skills at senior leadership levels.
- Ability to navigate complex regulatory environments and drive firmwide adoption of governance standards.
Preferred Qualifications, Capabilities, and Skills
- Familiarity with JPMC internal tools (LUMA, MISIX, SEAL) for AI model/use case governance.
- Experience with cloud platforms (AWS, Azure) and AI operationalization frameworks.
- Knowledge of agentic AI, generative AI, and emerging AI technologies relevant to financial services.
- Prior experience in cybersecurity or technology controls within a regulated financial services firm.
- Strong knowledge of JPMC's AI4Tech strategy, CDAO platform capabilities, and Protect the Firm principles.
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
Job Summary
As a Senior AI/ML Portfolio Lead, you will play a critical role in enabling AI/ML use cases during ideation, promoting them to our AI portfolio, and managing the portfolio. You will oversee the AI and machine learning portfolio, ensuring alignment with firmwide AI governance frameworks. This role partners closely with the Chief Data & Analytics Office (CDAO), AI4Tech programs, AITMC, CyberTwin initiatives, and other key stakeholders to ensure robust governance, risk management, and strategic portfolio execution of AI-driven technology solutions.
This position requires deep expertise in AI governance, portfolio management, and technology risk controls. You will drive strategic initiatives that align with JPMC's Protect the Firm strategy and AI governance standards.
Job Responsibilities
- Guide onboarding of AI/ML use cases for rapid ideation, manage secure user permissions, support experiments, analyze results, facilitate decision reviews, and maintain user engagement.
- Oversee the CTC AI/ML Lab platform with AWS services, supporting the full ML lifecycle (data preparation, model training, testing, deployment).
- Ensure adherence to JPMC data protection policies and AWS security best practices; implement access controls and encryption.
- Monitor ML model and platform infrastructure performance on AWS; optimize resource usage and scaling.
- Collaborate with data scientists, developers, and business units; facilitate training and support for platform users.
- Identify and mitigate risks related to model accuracy, data privacy, and cloud service disruptions.
- Lead AI portfolio management of AI/ML use cases that successfully graduate out of the ideation stage from the laboratory within CTC, overseeing use cases, model lifecycle governance (MDLC), and risk/compliance assessments with CDAO and AI4Tech teams.
- Ensure alignment with AI governance frameworks, including CAB approvals, model registration, and compliance with firm policies and regulatory requirements.
- Drive strategic planning, prioritization, and resource allocation for AI initiatives across technology and control environments.
- Lead cross-functional teams and influence senior stakeholders to foster responsible AI adoption and continuous improvement.
- Lead reporting and metrics to assess the impact of the AI portfolio on productivity, risk reduction, and employee experience, while representing CTC in firmwide AI governance forums to shape policy and advance industry leadership.
Required Qualifications, Capabilities, and Skills
- Minimum 7 years of experience in technology portfolio management, risk management, or AI governance within a large financial institution or comparable environment.
- Proficiency in AWS services (EC2, S3, Lambda, SageMaker), with strong ML concepts/workflows, and terraform experience.
- Ability to write/maintain scripts for automation and patch deployment; familiarity with Python, Java, or similar languages.
- Experience managing cloud-based infrastructure/applications; knowledge of system monitoring tools.
- Experience applying cybersecurity principles and practices in cloud environments by implementing security patches, ensuring compliance, diagnosing and resolving technical issues, and assessing the impact of patches and updates.
- Manage projects related to patch creation/deployment; coordinate with cross-functional teams and manage timelines.
- Proven leadership at SVP or equivalent level managing complex AI/ML portfolios or technology risk programs.
- Deep understanding of AI governance frameworks, model lifecycle management, regulatory compliance, and risk controls.
- Experience working with cross-functional teams (data science, tech ops, risk, compliance).
- Excellent communication, stakeholder management, and influencing skills at senior leadership levels.
- Ability to navigate complex regulatory environments and drive firmwide adoption of governance standards.
Preferred Qualifications, Capabilities, and Skills
- Familiarity with JPMC internal tools (LUMA, MISIX, SEAL) for AI model/use case governance.
- Experience with cloud platforms (AWS, Azure) and AI operationalization frameworks.
- Knowledge of agentic AI, generative AI, and emerging AI technologies relevant to financial services.
- Prior experience in cybersecurity or technology controls within a regulated financial services firm.
- Strong knowledge of JPMC's AI4Tech strategy, CDAO platform capabilities, and Protect the Firm principles.
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 33+ Senior AI Software Engineer at JPMorganChase jobs
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Get Access To All JobsTips for Finding Senior AI Software Engineer Jobs at JPMorganChase Jobs
Align your portfolio to financial AI use cases
JPMorganChase prioritizes AI engineers who can demonstrate applied experience in areas like fraud detection, risk modeling, or NLP for financial documents. Frame your projects around production-scale systems, not academic experiments.
Request a written sponsorship confirmation during offer negotiation
Large financial institutions have internal legal and HR workflows that can delay visa paperwork. Before signing, get explicit written confirmation from the hiring manager and HR that sponsorship is approved and budgeted for your specific role and level.
Track open Senior AI Software Engineer roles using Migrate Mate
Senior AI Software Engineer positions at JPMorganChase open and close quickly. Use Migrate Mate to filter specifically for visa-sponsoring roles at JPMorganChase so you're applying to live listings, not stale postings.
Prepare your credentials for PERM early if targeting a Green Card
JPMorganChase initiates PERM labor certification for EB-2 and EB-3 Green Card pathways. Gather your educational transcripts and employment records now. DOL requires precise documentation of your qualifications at the time the job was offered.
Understand how H-1B cap exemptions affect your timeline at JPMorganChase
JPMorganChase is a cap-subject employer, meaning new H-1B petitions are subject to the annual lottery with an October 1 start date. If you're currently on OPT or another status, plan your job search around USCIS registration windows in March.
Senior AI Software Engineer at JPMorganChase jobs are hiring across the US. Find yours.
Find Senior AI Software Engineer at JPMorganChase JobsFrequently Asked Questions
Does JPMorganChase sponsor H-1B visas for Senior AI Software Engineers?
Yes, JPMorganChase sponsors H-1B visas for Senior AI Software Engineers. The company has a dedicated immigration team that handles petitions for technical roles at this level. Because JPMorganChase is a cap-subject employer, new H-1B sponsorship is tied to the annual USCIS lottery, so timing your offer relative to the March registration window is important.
How do I apply for Senior AI Software Engineer jobs at JPMorganChase?
Applications go through JPMorganChase's careers portal. Senior AI Software Engineer roles typically require passing a technical screen focused on machine learning system design and coding, followed by multiple rounds of interviews covering applied AI, model deployment, and sometimes domain-specific financial use cases. You can also browse open roles filtered by visa sponsorship on Migrate Mate to identify current listings before applying directly.
Which visa types does JPMorganChase sponsor for Senior AI Software Engineer roles?
JPMorganChase sponsors H-1B, H-1B1, and E-3 visas for nonimmigrant work authorization, as well as EB-2 and EB-3 immigrant visa categories for permanent residence. For Senior AI Software Engineer roles, the H-1B is the most common path for non-Australian candidates, while Australian citizens can pursue the E-3, which has no lottery and allows unlimited two-year renewals.
What qualifications does JPMorganChase expect for Senior AI Software Engineer roles?
JPMorganChase expects candidates at the senior level to have hands-on experience building and deploying machine learning systems at scale, ideally in regulated or data-intensive industries. A bachelor's or master's degree in computer science, AI, or a related field is standard. Proficiency in Python, familiarity with MLOps tooling, and experience with large language models or real-time inference systems are consistently emphasized across posted job descriptions.
How long does the visa sponsorship process take at JPMorganChase after receiving an offer?
For H-1B petitions, USCIS standard processing runs three to five months, though JPMorganChase commonly uses premium processing to reduce that to 15 business days. E-3 consular processing in Australia is typically two to four weeks after the employer completes the Labor Condition Application with DOL. Start dates are often negotiated to align with visa approval timelines, so building buffer into your transition plan avoids gaps in authorization.
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