AI Engineer Visa Sponsorship Jobs in Delaware
Delaware's AI engineer job market is anchored by financial services firms in Wilmington, life sciences companies along the Rt. 202 corridor, and a growing tech presence from employers like JPMorgan Chase, DuPont, and AstraZeneca. Visa sponsorship is available, particularly for roles involving machine learning infrastructure, NLP, and applied AI in regulated industries.
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Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. As a Senior Lead Software Engineer at JPMorganChase within the AI/ML Data Platforms team, you will be a key member of an agile team responsible for enhancing, building, and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. You will drive meaningful business impact through hands-on engineering leadership, applying deep technical expertise and structured problem-solving to address complex challenges across multiple technologies and applications. In this role, you will help design and deliver agentic AI platforms and large language model (LLM)-enabled services for enterprise use cases. You will contribute to architecture and engineering decisions, build cloud-native services on AWS, and improve system quality through strong evaluation, observability, and operational excellence practices. You will also raise engineering standards through high-quality code reviews, clear documentation, and effective collaboration across teams.
Job Responsibilities
- Provide technical guidance and direction to business and engineering teams by partnering with external teams to align on priorities, unblock delivery, and drive successful engineering outcomes.
- Develop secure, high-quality production code and lead code reviews; review, debug, and improve code written by others to raise overall engineering quality.
- Drive architecture and design decisions that influence product design, application functionality, and technical operations (including SDLC practices).
- Serve as a subject matter expert in one or more focus areas, helping teams make sound technical trade-offs and resolve complex problems.
- Evaluate and introduce leading-edge technologies where appropriate, influencing peers and decision-makers with clear rationale and risk/benefit analysis.
- Build and operate production-grade LLM applications, including agentic patterns and tool integrations for enterprise use cases.
- Design and deliver cloud-native services on AWS using containers and serverless architectures, with strong attention to scalability and operational resilience.
- Implement retrieval-augmented generation (RAG) solutions, including embeddings, semantic search, and practical context engineering to improve answer quality and control.
- Build reliable service APIs and integrations with a focus on security, performance, and maintainability.
- Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
Required Qualifications, Capabilities, And Skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Strong Python engineering skills; experience with PyTorch or TensorFlow
- Expertise working with Vector storage systems and designing memory for Agents
- Expertise developing long running agents that run autonomously using tools, skills and human in the loop
- Proven experience deploying LLM-backed services to production (APIs, microservices)
- Deep MLOps experience, including CI/CD, monitoring, incident response, and model governance
- Cloud-native AI deployment experience (AWS or Azure), with cost and performance optimization
- Demonstrated commitment to responsible AI practices and operational excellence
- Strong communication and collaboration skills, working across product, risk, legal, and compliance teams
- Demonstrated experience designing and leading adoption of agentic AI-enabled development practices (using enterprise-authorized tools within the work environment) across teams, including setting standards for human-in-the-loop validation, auditability/traceability of changes, and secure handling of sensitive data.
- Strong understanding of responsible AI use and control expectations in engineering workflows, including security/resiliency implications, data sensitivity, and risk-based governance; ability to influence senior technical leaders on safe scaling patterns and reuse.
Preferred Qualifications, Capabilities, And Skills
- Experience with fine-tuning, adapters, or custom evaluation frameworks.
- Background operating AI systems in regulated environments (finance, healthcare, etc.).
- Experience with prompt engineering and LLM orchestration.
- Knowledge of safety filters, audit logging, and explainability in production systems.
- Experience mentoring senior engineers and leading architecture discussions.
- Demonstrated ability to influence technical roadmaps and priorities.
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
Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. As a Senior Lead Software Engineer at JPMorganChase within the AI/ML Data Platforms team, you will be a key member of an agile team responsible for enhancing, building, and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. You will drive meaningful business impact through hands-on engineering leadership, applying deep technical expertise and structured problem-solving to address complex challenges across multiple technologies and applications. In this role, you will help design and deliver agentic AI platforms and large language model (LLM)-enabled services for enterprise use cases. You will contribute to architecture and engineering decisions, build cloud-native services on AWS, and improve system quality through strong evaluation, observability, and operational excellence practices. You will also raise engineering standards through high-quality code reviews, clear documentation, and effective collaboration across teams.
Job Responsibilities
- Provide technical guidance and direction to business and engineering teams by partnering with external teams to align on priorities, unblock delivery, and drive successful engineering outcomes.
- Develop secure, high-quality production code and lead code reviews; review, debug, and improve code written by others to raise overall engineering quality.
- Drive architecture and design decisions that influence product design, application functionality, and technical operations (including SDLC practices).
- Serve as a subject matter expert in one or more focus areas, helping teams make sound technical trade-offs and resolve complex problems.
- Evaluate and introduce leading-edge technologies where appropriate, influencing peers and decision-makers with clear rationale and risk/benefit analysis.
- Build and operate production-grade LLM applications, including agentic patterns and tool integrations for enterprise use cases.
- Design and deliver cloud-native services on AWS using containers and serverless architectures, with strong attention to scalability and operational resilience.
- Implement retrieval-augmented generation (RAG) solutions, including embeddings, semantic search, and practical context engineering to improve answer quality and control.
- Build reliable service APIs and integrations with a focus on security, performance, and maintainability.
- Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
Required Qualifications, Capabilities, And Skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Strong Python engineering skills; experience with PyTorch or TensorFlow
- Expertise working with Vector storage systems and designing memory for Agents
- Expertise developing long running agents that run autonomously using tools, skills and human in the loop
- Proven experience deploying LLM-backed services to production (APIs, microservices)
- Deep MLOps experience, including CI/CD, monitoring, incident response, and model governance
- Cloud-native AI deployment experience (AWS or Azure), with cost and performance optimization
- Demonstrated commitment to responsible AI practices and operational excellence
- Strong communication and collaboration skills, working across product, risk, legal, and compliance teams
- Demonstrated experience designing and leading adoption of agentic AI-enabled development practices (using enterprise-authorized tools within the work environment) across teams, including setting standards for human-in-the-loop validation, auditability/traceability of changes, and secure handling of sensitive data.
- Strong understanding of responsible AI use and control expectations in engineering workflows, including security/resiliency implications, data sensitivity, and risk-based governance; ability to influence senior technical leaders on safe scaling patterns and reuse.
Preferred Qualifications, Capabilities, And Skills
- Experience with fine-tuning, adapters, or custom evaluation frameworks.
- Background operating AI systems in regulated environments (finance, healthcare, etc.).
- Experience with prompt engineering and LLM orchestration.
- Knowledge of safety filters, audit logging, and explainability in production systems.
- Experience mentoring senior engineers and leading architecture discussions.
- Demonstrated ability to influence technical roadmaps and priorities.
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.
AI Engineer Job Roles in Delaware
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Search AI Engineer Jobs in DelawareAI Engineer Jobs in Delaware: Frequently Asked Questions
Which companies in Delaware sponsor visas for AI engineers?
Financial institutions and life sciences companies are the most active sponsors in Delaware. JPMorgan Chase and Barclays have significant Wilmington operations with AI and data science teams that have filed H-1B visa petitions. DuPont and AstraZeneca sponsor for applied AI roles tied to materials science and pharmaceutical research. Smaller fintech firms in Wilmington's banking corridor also hire AI engineers with sponsorship support.
Which visa types are most common for AI engineer roles in Delaware?
The H-1B is the most common visa for AI engineers in Delaware, as the role consistently qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, machine learning, or a related field. Candidates with advanced degrees may also see EB-2 pathways pursued by larger employers. Australians may find E-3 visa options with Delaware-based multinationals that are familiar with that category.
How to find ai engineer visa sponsorship jobs in Delaware?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to search for AI engineer roles in Delaware without sifting through positions that don't support work visa candidates. You can filter by state and role type to surface openings at Delaware-based employers in finance, life sciences, and tech. Migrate Mate is built for international candidates navigating the U.S. job market.
Which cities in Delaware have the most AI engineer sponsorship jobs?
Wilmington is by far Delaware's primary hub for AI engineering roles, driven by its concentration of financial services headquarters and regional offices. Newark, home to the University of Delaware, has emerging opportunities tied to research commercialization and university-affiliated startups. Dover sees fewer AI engineering postings but occasionally has state government or defense-adjacent technology roles with sponsorship potential.
Are there any state-specific considerations for AI engineers seeking sponsorship in Delaware?
Delaware's financial services dominance means many AI engineering roles focus on fraud detection, risk modeling, and regulatory compliance rather than consumer-facing AI products. Employers here tend to value domain knowledge in finance or life sciences alongside core ML skills. The University of Delaware's pipeline in data science and AI research also feeds local hiring, so candidates with academic or research backgrounds may find additional traction with Delaware employers.
What is the prevailing wage for sponsored ai 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.