AI Data Engineer Visa Sponsorship Jobs in Delaware
Delaware's AI data engineer job market centers on Wilmington, where financial services giants like JPMorgan Chase, Bank of America, and Capital One maintain significant technology operations. DuPont and Corteva Agriscience also drive demand for data engineering talent. Companies here regularly sponsor H-1B and other work visas for qualified AI data engineering candidates.
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Get Access To All JobsJOB DESCRIPTION
As an Applied AI/ML Vice President within Global Private Bank, you'll own the full lifecycle of high-impact models serving clients across wealth management, lending, and advisory — from problem framing with business stakeholders to production deployment at scale. You'll work on some of the most data-rich, complex client problems in financial services — with the infrastructure and resources of one of the world's largest institutions behind you. We're building AI-native capabilities at the intersection of cutting-edge research and real-world impact.
Job Responsibilities:
- Define and scope AI/ML problem statements in partnership with Private Bank business leads, translating ambiguous client or operational pain points into tractable modeling problems
- Design, build, and deploy end-to-end ML solutions — including generative AI, NLP, and classical machine learning — across client service, risk, and operational efficiency use cases
- Own model quality, evaluation frameworks, monitoring, drift detection, and iteration post-deployment
- Drive productionization and MLOps practices in collaboration with engineering, working across distributed data infrastructure
- Stay current on applied research; evaluate and adapt emerging techniques — new architectures, agentic frameworks, multimodal models — for relevance to the Private Bank's problem space and translate promising work into production-ready solutions
- Mentor junior data scientists and help set technical standards for the team
- Collaborate across JPMorganChase's broader AI/ML community, model risk, compliance, and peer LOBs to align on standards, share learnings, and amplify the team's impact firm-wide
Required Qualifications:
- Master's or PhD in Computer Science, Statistics, Applied Math, Data Science, or related quantitative field
- At least 5 years of hands-on ML experience in production environments with Master's or 3 years with PhD
- Deep expertise in NLP, including modern LLM fine-tuning, RAG pipelines, prompt engineering and the design and deployment of multi-step AI agents
- Strong Python skills; proficiency with PyTorch, TensorFlow, Scikit-learn and other libraries
- Experience with large-scale data processing: Spark, Hive, SQL
- Proven ability to communicate technical work to non-technical stakeholders
Preferred Qualifications:
- Financial services experience
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
J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.
JOB DESCRIPTION
As an Applied AI/ML Vice President within Global Private Bank, you'll own the full lifecycle of high-impact models serving clients across wealth management, lending, and advisory — from problem framing with business stakeholders to production deployment at scale. You'll work on some of the most data-rich, complex client problems in financial services — with the infrastructure and resources of one of the world's largest institutions behind you. We're building AI-native capabilities at the intersection of cutting-edge research and real-world impact.
Job Responsibilities:
- Define and scope AI/ML problem statements in partnership with Private Bank business leads, translating ambiguous client or operational pain points into tractable modeling problems
- Design, build, and deploy end-to-end ML solutions — including generative AI, NLP, and classical machine learning — across client service, risk, and operational efficiency use cases
- Own model quality, evaluation frameworks, monitoring, drift detection, and iteration post-deployment
- Drive productionization and MLOps practices in collaboration with engineering, working across distributed data infrastructure
- Stay current on applied research; evaluate and adapt emerging techniques — new architectures, agentic frameworks, multimodal models — for relevance to the Private Bank's problem space and translate promising work into production-ready solutions
- Mentor junior data scientists and help set technical standards for the team
- Collaborate across JPMorganChase's broader AI/ML community, model risk, compliance, and peer LOBs to align on standards, share learnings, and amplify the team's impact firm-wide
Required Qualifications:
- Master's or PhD in Computer Science, Statistics, Applied Math, Data Science, or related quantitative field
- At least 5 years of hands-on ML experience in production environments with Master's or 3 years with PhD
- Deep expertise in NLP, including modern LLM fine-tuning, RAG pipelines, prompt engineering and the design and deployment of multi-step AI agents
- Strong Python skills; proficiency with PyTorch, TensorFlow, Scikit-learn and other libraries
- Experience with large-scale data processing: Spark, Hive, SQL
- Proven ability to communicate technical work to non-technical stakeholders
Preferred Qualifications:
- Financial services experience
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
J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.
AI Data Engineer Job Roles in Delaware
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Search AI Data Engineer Jobs in DelawareAI Data Engineer Jobs in Delaware: Frequently Asked Questions
Which companies in Delaware sponsor visas for AI data engineers?
Financial institutions with major Wilmington operations, including JPMorgan Chase, Bank of America, Capital One, and Barclays, are among the most active sponsors for AI data engineer roles in Delaware. DuPont and Corteva Agriscience also hire data engineering talent and have established H-1B sponsorship histories. Checking a company's USCIS H-1B disclosure data gives a reliable picture of its actual sponsorship activity.
Which visa types are most common for AI data engineer roles in Delaware?
The H-1B is the most common visa for AI data engineers in Delaware, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, data science, or a related field. Candidates already holding OPT or STEM OPT can work while an employer sponsors an H-1B petition. Those with extraordinary ability may also explore the O-1A category.
Which cities in Delaware have the most AI data engineer sponsorship jobs?
Wilmington accounts for the overwhelming majority of AI data engineer sponsorship opportunities in Delaware, driven by its concentration of financial services and corporate headquarters. Newark, home to the University of Delaware, has a smaller but growing technology sector with some sponsorship activity. Dover sees limited demand for this role compared to the northern part of the state.
How to find ai data engineer visa sponsorship jobs in Delaware?
Migrate Mate is built specifically for international candidates and filters AI data engineer roles in Delaware by visa sponsorship availability, saving you from manually screening hundreds of postings. Because Delaware's market is concentrated in financial services, searching Migrate Mate for roles at Wilmington-based banks and corporate technology teams gives the most targeted results for sponsored positions in this state.
Are there any Delaware-specific considerations for AI data engineers seeking visa sponsorship?
Delaware's AI data engineer market is heavily weighted toward financial services, which means employers often expect familiarity with compliance-sensitive data environments alongside core engineering skills. The University of Delaware and Wilmington University produce local graduates, so international candidates benefit from demonstrating specialized AI and machine learning expertise that differentiates them. Delaware's relatively small market means fewer total openings than neighboring Pennsylvania or New Jersey.
What is the prevailing wage for sponsored ai data engineer jobs in Delaware?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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