AI ML Engineering Visa Sponsorship Jobs in Delaware
Delaware's AI/ML engineering hiring is anchored by financial services firms in Wilmington, life sciences companies along the I-95 corridor, and a growing technology sector supported by University of Delaware research partnerships. Employers including JPMorgan Chase, DuPont, and AstraZeneca have sponsored skilled foreign nationals in technical roles.
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Get Access To All JobsINTRODUCTION
A global biopharmaceutical company on a mission to Solve On, Incyte follows science to find solutions for patients with unmet medical needs. Through the discovery, development, and commercialization of proprietary therapeutics, Incyte has established a portfolio of first-in-class medicines for patients and a strong pipeline of products in Hematology, Oncology and Inflammation and Autoimmunity. Headquartered in Wilmington, Delaware, Incyte has operations in North America, Europe, and Asia.
ABOUT INCYTE
A global biopharmaceutical company on a mission to Solve On, Incyte follows science to find solutions for patients with unmet medical needs. Through the discovery, development, and commercialization of proprietary therapeutics, Incyte has established a portfolio of first-in-class medicines for patients and a strong pipeline of products in Hematology, Oncology and Inflammation & Autoimmunity. Headquartered in Wilmington, Delaware, Incyte has operations in North America, Europe, and Asia Pacific.
THE OPPORTUNITY
The Enterprise Data and AI (EDAI) department is a new global function for Incyte. We are responsible for building Incyte’s capabilities in data, analytics, computational sciences, and AI, to enable learning, optimize decisions, improve efficiency, and accelerate the development of indispensable medicines for patients. The Associate Vice President (AVP), AI/ML Applications, leads a team of full-time employees and contractors who design and implement AI solutions to Incyte’s highest priority opportunities in partnership with all business areas of Incyte, including R&D, commercial, and operational/functional areas of our business.
KEY RESPONSIBILITIES
Strategic/Leadership
- Develop the enterprise AI/ML capability roadmap in partnership with business leaders and customer-facing EDAI teams
- Partner with the CDAIO, IT, Legal, Privacy, and other stakeholders to establish effective, ethical AI governance, and set appropriate policies and guardrails
- Ensure AI solutions meet applicable regulatory, quality, and data privacy requirements, including GxP and computer system validation where relevant
- Set the vision for Incyte’s agentic AI transformation, prioritizing investments to match opportunities
- Lead build/buy/partner decisions for AI platforms and solutions
Delivery & Execution
- Deliver high-ROI, area-specific and enterprise-scale AI solutions
- Oversee central AI/ML and agentic AI development teams
- Build a team and operating model that links customer-facing EDAI teams with AI solutions, tools, and platforms
- Recruit, develop, and retain a high-performing AI/ML team while fostering a culture of innovation, operational excellence and continuous improvement
- Evaluate opportunities and deliver innovative, high-impact solutions in Research, Development, Regulatory Affairs, Quality, Manufacturing, Supply Chain, International and US Commercial, HR, IT, Communications, and other business areas
- Oversee development of advanced AI training content and the enterprise AI-enablement program
- Serve as Incyte’s senior technical expert on AI application development
- Build and support an enterprise AI/ML community of practice
- Develop business-area strategy together with business executive leaders and EDAI ‘vertical’ teams
- Partner with engineering and IT teams to establish safely governed and configured AI solutions and to ensure appropriate compute infrastructure for AI workloads
- Evaluate and develop high-value external relationships and partnerships
- Manage a budget of $5-10M
EXPERIENCE & QUALIFICATIONS
Essential
- Experience leading teams who develop and deploy agentic, gen-AI, and predictive/ML solutions at enterprise scale, in production within R&D, Commercial, and Operational domains
- Excellent communication skills. Ability to communicate technical topics to technical and non-technical audiences
- Advanced degree in CS, applied mathematics, or similar quantitative science (PhD preferred)
- 10+ years of relevant professional experience, including at least 5 years in a biomedical or life sciences setting
- 7+ years of people management experience
- Experience developing and participating in AI governance for a large enterprise
- Track record of leading high-impact, enterprise-scale AI projects and platforms with significant
- Demonstrated ability to be effective within a complex organizational structure
- Ability to manage executive-level stakeholder and partner expectations and interact professionally at all levels of the organization
- Curious, service-oriented, collaborative, and motivated by patient benefit
- Sound judgment in prioritizing competing demands
- Strong developer of talent within and outside span of control
- Willing to roll up sleeves to get things done. This role will involve occasional hands-on work in addition to people management
- Strong ethical judgment and the ability to consistently represent the interests and mission of the company and the patients we serve
- Experience coaching teams and stakeholders on prioritization, presenting results persuasively and accurately, delivering difficult news and saying no when required, working proactively across groups, and identifying the business need behind a request and framing it in a broader enterprise context
- Willingness to invest in understanding diverse stakeholder cultures, motivations, and practices to enable consensus-based solutions
- Rigorous attention to accuracy, quality, and compliance
- Experience managing capital and operating budgets and stewarding resources effectively
- Demonstrates self-awareness, professionalism, adaptability, and the ability to lead through challenging situations
- Thinks and acts strategically at the enterprise level, putting company priorities ahead of individual team interests
Desirable
- Relevant peer-reviewed publications in applied AI/ML
- 10+ years of biotech/pharmaceutical experience
- Proven ability to build and leverage cross-functional and external relationships
- Direct experience in various roles delivering production-grade applications, including hands-on development, technical leadership, and architecture
LI-HYBRID
Disclaimer: The above statements are intended to describe the general nature and level of work performed by employees assigned to this job. They are not intended to be an exhaustive list of all duties, responsibilities, and qualifications. Management reserves the right to change or modify such duties as required.
Incyte Corporation is committed to creating a diverse environment and is proud to be an equal opportunity employer.
We Respect Your Privacy
The Incyte hiring organization processes your personal data to manage your job application in order to enter into an employment relationship with you if you are the successful candidate.
During the process, you may be asked to respond to questions that will screen out your application if you do not meet certain objective criteria required by the job. You can learn more about this process here.
You may have the right to access, delete, restrict, edit, move, or object to the use of your personal data. You may also have a right to report concerns to the authority responsible for data privacy in the country where the position is based or where you live or work.
Please contact privacy@incyte.com if you have any questions or concerns or would like to exercise your rights.
INTRODUCTION
A global biopharmaceutical company on a mission to Solve On, Incyte follows science to find solutions for patients with unmet medical needs. Through the discovery, development, and commercialization of proprietary therapeutics, Incyte has established a portfolio of first-in-class medicines for patients and a strong pipeline of products in Hematology, Oncology and Inflammation and Autoimmunity. Headquartered in Wilmington, Delaware, Incyte has operations in North America, Europe, and Asia.
ABOUT INCYTE
A global biopharmaceutical company on a mission to Solve On, Incyte follows science to find solutions for patients with unmet medical needs. Through the discovery, development, and commercialization of proprietary therapeutics, Incyte has established a portfolio of first-in-class medicines for patients and a strong pipeline of products in Hematology, Oncology and Inflammation & Autoimmunity. Headquartered in Wilmington, Delaware, Incyte has operations in North America, Europe, and Asia Pacific.
THE OPPORTUNITY
The Enterprise Data and AI (EDAI) department is a new global function for Incyte. We are responsible for building Incyte’s capabilities in data, analytics, computational sciences, and AI, to enable learning, optimize decisions, improve efficiency, and accelerate the development of indispensable medicines for patients. The Associate Vice President (AVP), AI/ML Applications, leads a team of full-time employees and contractors who design and implement AI solutions to Incyte’s highest priority opportunities in partnership with all business areas of Incyte, including R&D, commercial, and operational/functional areas of our business.
KEY RESPONSIBILITIES
Strategic/Leadership
- Develop the enterprise AI/ML capability roadmap in partnership with business leaders and customer-facing EDAI teams
- Partner with the CDAIO, IT, Legal, Privacy, and other stakeholders to establish effective, ethical AI governance, and set appropriate policies and guardrails
- Ensure AI solutions meet applicable regulatory, quality, and data privacy requirements, including GxP and computer system validation where relevant
- Set the vision for Incyte’s agentic AI transformation, prioritizing investments to match opportunities
- Lead build/buy/partner decisions for AI platforms and solutions
Delivery & Execution
- Deliver high-ROI, area-specific and enterprise-scale AI solutions
- Oversee central AI/ML and agentic AI development teams
- Build a team and operating model that links customer-facing EDAI teams with AI solutions, tools, and platforms
- Recruit, develop, and retain a high-performing AI/ML team while fostering a culture of innovation, operational excellence and continuous improvement
- Evaluate opportunities and deliver innovative, high-impact solutions in Research, Development, Regulatory Affairs, Quality, Manufacturing, Supply Chain, International and US Commercial, HR, IT, Communications, and other business areas
- Oversee development of advanced AI training content and the enterprise AI-enablement program
- Serve as Incyte’s senior technical expert on AI application development
- Build and support an enterprise AI/ML community of practice
- Develop business-area strategy together with business executive leaders and EDAI ‘vertical’ teams
- Partner with engineering and IT teams to establish safely governed and configured AI solutions and to ensure appropriate compute infrastructure for AI workloads
- Evaluate and develop high-value external relationships and partnerships
- Manage a budget of $5-10M
EXPERIENCE & QUALIFICATIONS
Essential
- Experience leading teams who develop and deploy agentic, gen-AI, and predictive/ML solutions at enterprise scale, in production within R&D, Commercial, and Operational domains
- Excellent communication skills. Ability to communicate technical topics to technical and non-technical audiences
- Advanced degree in CS, applied mathematics, or similar quantitative science (PhD preferred)
- 10+ years of relevant professional experience, including at least 5 years in a biomedical or life sciences setting
- 7+ years of people management experience
- Experience developing and participating in AI governance for a large enterprise
- Track record of leading high-impact, enterprise-scale AI projects and platforms with significant
- Demonstrated ability to be effective within a complex organizational structure
- Ability to manage executive-level stakeholder and partner expectations and interact professionally at all levels of the organization
- Curious, service-oriented, collaborative, and motivated by patient benefit
- Sound judgment in prioritizing competing demands
- Strong developer of talent within and outside span of control
- Willing to roll up sleeves to get things done. This role will involve occasional hands-on work in addition to people management
- Strong ethical judgment and the ability to consistently represent the interests and mission of the company and the patients we serve
- Experience coaching teams and stakeholders on prioritization, presenting results persuasively and accurately, delivering difficult news and saying no when required, working proactively across groups, and identifying the business need behind a request and framing it in a broader enterprise context
- Willingness to invest in understanding diverse stakeholder cultures, motivations, and practices to enable consensus-based solutions
- Rigorous attention to accuracy, quality, and compliance
- Experience managing capital and operating budgets and stewarding resources effectively
- Demonstrates self-awareness, professionalism, adaptability, and the ability to lead through challenging situations
- Thinks and acts strategically at the enterprise level, putting company priorities ahead of individual team interests
Desirable
- Relevant peer-reviewed publications in applied AI/ML
- 10+ years of biotech/pharmaceutical experience
- Proven ability to build and leverage cross-functional and external relationships
- Direct experience in various roles delivering production-grade applications, including hands-on development, technical leadership, and architecture
LI-HYBRID
Disclaimer: The above statements are intended to describe the general nature and level of work performed by employees assigned to this job. They are not intended to be an exhaustive list of all duties, responsibilities, and qualifications. Management reserves the right to change or modify such duties as required.
Incyte Corporation is committed to creating a diverse environment and is proud to be an equal opportunity employer.
We Respect Your Privacy
The Incyte hiring organization processes your personal data to manage your job application in order to enter into an employment relationship with you if you are the successful candidate.
During the process, you may be asked to respond to questions that will screen out your application if you do not meet certain objective criteria required by the job. You can learn more about this process here.
You may have the right to access, delete, restrict, edit, move, or object to the use of your personal data. You may also have a right to report concerns to the authority responsible for data privacy in the country where the position is based or where you live or work.
Please contact privacy@incyte.com if you have any questions or concerns or would like to exercise your rights.
AI ML Engineering Job Roles in Delaware
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Search AI ML Engineering Jobs in DelawareAI ML Engineering Jobs in Delaware: Frequently Asked Questions
Which companies sponsor visas for AI/ML engineers in Delaware?
Financial services firms are among the most active sponsors in Delaware, with institutions like JPMorgan Chase, Bank of America, and Barclays maintaining operations in Wilmington that hire quantitative and machine learning engineers. Life sciences companies including AstraZeneca and Incyte also sponsor technical AI roles. Delaware-incorporated holding companies for larger multinationals occasionally appear in sponsorship filings as well.
Which visa types are most common for AI/ML engineering roles in Delaware?
The H-1B visa is the most common visa category for AI/ML engineers in Delaware, as these roles consistently qualify as specialty occupations requiring at least a bachelor's degree in computer science, statistics, or a related field. Candidates with extraordinary ability may qualify for the O-1A. Multinational transfers into Delaware offices sometimes use the L-1B for specialized knowledge workers.
Which cities in Delaware have the most AI/ML engineering sponsorship jobs?
Wilmington is by far the primary concentration point for AI/ML sponsorship activity in Delaware, driven by its dense financial services sector. Newark, home to the University of Delaware and nearby corporate research facilities, also generates technical hiring. The I-95 corridor between Wilmington and the Pennsylvania border sees the most consistent demand for machine learning and data engineering talent.
How to find ai ml engineering visa sponsorship jobs in Delaware?
Migrate Mate filters job listings specifically for employers willing to sponsor work visas, which removes the guesswork of identifying sponsorship-friendly companies. For AI/ML engineering roles in Delaware, searching Migrate Mate by state and role category surfaces positions from financial services, life sciences, and technology employers who have active sponsorship programs. Filtering by visa type helps narrow results to your specific situation.
Are there any Delaware-specific factors AI/ML engineers should know about visa sponsorship?
Delaware's incorporation-friendly legal environment means many large companies are legally domiciled there even if their technical operations sit elsewhere, so job location and legal employer entity may differ. For H-1B purposes, the worksite location drives the prevailing wage determination, not the state of incorporation. AI/ML engineers should confirm which physical office location the role is tied to, as that affects the Department of Labor wage level used in the Labor Condition Application.
What is the prevailing wage for sponsored ai ml engineering 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.