AI Product Engineer Visa Sponsorship Jobs in Pennsylvania
Pennsylvania's AI product engineer hiring is anchored in Philadelphia and Pittsburgh, where companies like Comcast, Carnegie Mellon University spinouts, and a growing cluster of healthtech and fintech firms regularly sponsor international talent. The state's deep research university network and established tech corridors make it a consistent source of H-1B visa sponsorship opportunities for this role.
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Penn Medicine is dedicated to our tripartite mission of providing the highest level of care to patients, conducting innovative research, and educating future leaders in the field of medicine. Working for this leading academic medical center means collaboration with top clinical, technical and business professionals across all disciplines. Today at Penn Medicine, someone will make a breakthrough. Someone will heal a heart, deliver hopeful news, and give comfort and reassurance. Our employees shape our future each day. Are you living your life's work?
Entity: Corporate Services
Department: PennDNA
Location: 3600 Civic Center Blvd
Summary
The Associate Vice President (AVP) of AI will be responsible for the development and deployment of machine learning solutions to address critical challenges for our health system. The AVP of AI oversees a team of data scientists and AI engineers. They will also take ownership of hands-on machine learning code development and/or deployment, when necessary, to ensure successful development and implementation.
Responsibilities
- Strategic Leadership: Develop and execute a strategic roadmap for machine learning initiatives that align with the health system's goals. Lead the creation of innovative AI/ML solutions to improve patient care, operational efficiency, and clinical outcomes. Communicate vision, gain buy-in, and foster collaboration with clinicians, operational leaders, and technology teams. Develop internal and external partnerships to foster collaboration and execution.
- Technical Design and Oversight: Lead the technical design of machine learning solutions tailored to meet business, clinical, and operational requirements. Ensure the robustness, scalability, and performance of ML models in production environments. Establish best practices for code development, version control, testing, and deployment of ML solutions. Implement CI/CD pipelines for ML deployment. Collaborate with security, infrastructure, and application teams to ensure seamless integration of ML solutions into workflows.
- Research & Development: Develop a pipeline of ML capabilities to explore, test, and develop with a view to production deployment and health system priorities. Stay informed about the latest advancements in machine learning and healthcare technology to guide continuous improvement and innovation. Communicate internally and externally, including publications, conference presentations, etc., as appropriate to advance our agenda.
- Trustworthy AI: Develop and execute on a roadmap to trustworthy AI, including MLOps, model monitoring and retraining, explainability, application standards for security and privacy. Ensure compliance with relevant and evolving regulations (e.g. HIPAA, coming FDA regulations).
- Team Management: Lead, mentor, and grow a team of data scientists, machine learning engineers, and software developers. Set high performance expectations and help team to achieve them. Create a positive culture that encourages collaboration and fosters innovation. Attract and retain top talent. Develop new leaders. Help others to find purpose amid uncertainty.
- Stakeholder Engagement: Develop credibility and trust with leaders by demonstrating expertise, aligning around shared goals, and acting as a thought partner. Develop a deep understanding of customer needs and apply that knowledge to prioritize projects, design solutions, and execute. Influence a wide-range of senior leaders inside and outside PennDnA. Articulate vision, build consensus, and inspire action to achieve outcomes.
- Continuous Improvement: Drive innovation and excellence across the organization, continuously seeking ways to enhance the use of data for informed decision-making. Stay abreast of industry trends, emerging technologies, and best practices in healthcare data analytics.
Education or Equivalent Experience
- Bachelor's Degree is required. Education Specialization: e.g., Computer Science, Mathematics, Data Science, Machine Learning.
- 10+ years progressively responsible experience developing ML solutions, putting them into production, and scaling is required.
- Master's Degree is required. Education Specialization: e.g., Computer Science, Mathematics, Data Science, Machine Learning.
- Ph.D. is preferred.
We believe that the best care for our patients starts with the best care for our employees. Our employee benefits programs help our employees get healthy and stay healthy. We offer a comprehensive compensation and benefits program that includes one of the finest prepaid tuition assistance programs in the region. Penn Medicine employees are actively engaged and committed to our mission. Together we will continue to make medical advances that help people live longer, healthier lives. Live Your Life's Work
We are an Equal Opportunity employer. Candidates are considered for employment without regard to race, ethnicity, color, sex, sexual orientation, gender identity, religion, national origin, ancestry, age, disability, marital status, familial status, genetic information, domestic or sexual violence victim status, citizenship status, military status, status as a protected veteran or any other status protected by applicable law.
Description
Penn Medicine is dedicated to our tripartite mission of providing the highest level of care to patients, conducting innovative research, and educating future leaders in the field of medicine. Working for this leading academic medical center means collaboration with top clinical, technical and business professionals across all disciplines. Today at Penn Medicine, someone will make a breakthrough. Someone will heal a heart, deliver hopeful news, and give comfort and reassurance. Our employees shape our future each day. Are you living your life's work?
Entity: Corporate Services
Department: PennDNA
Location: 3600 Civic Center Blvd
Summary
The Associate Vice President (AVP) of AI will be responsible for the development and deployment of machine learning solutions to address critical challenges for our health system. The AVP of AI oversees a team of data scientists and AI engineers. They will also take ownership of hands-on machine learning code development and/or deployment, when necessary, to ensure successful development and implementation.
Responsibilities
- Strategic Leadership: Develop and execute a strategic roadmap for machine learning initiatives that align with the health system's goals. Lead the creation of innovative AI/ML solutions to improve patient care, operational efficiency, and clinical outcomes. Communicate vision, gain buy-in, and foster collaboration with clinicians, operational leaders, and technology teams. Develop internal and external partnerships to foster collaboration and execution.
- Technical Design and Oversight: Lead the technical design of machine learning solutions tailored to meet business, clinical, and operational requirements. Ensure the robustness, scalability, and performance of ML models in production environments. Establish best practices for code development, version control, testing, and deployment of ML solutions. Implement CI/CD pipelines for ML deployment. Collaborate with security, infrastructure, and application teams to ensure seamless integration of ML solutions into workflows.
- Research & Development: Develop a pipeline of ML capabilities to explore, test, and develop with a view to production deployment and health system priorities. Stay informed about the latest advancements in machine learning and healthcare technology to guide continuous improvement and innovation. Communicate internally and externally, including publications, conference presentations, etc., as appropriate to advance our agenda.
- Trustworthy AI: Develop and execute on a roadmap to trustworthy AI, including MLOps, model monitoring and retraining, explainability, application standards for security and privacy. Ensure compliance with relevant and evolving regulations (e.g. HIPAA, coming FDA regulations).
- Team Management: Lead, mentor, and grow a team of data scientists, machine learning engineers, and software developers. Set high performance expectations and help team to achieve them. Create a positive culture that encourages collaboration and fosters innovation. Attract and retain top talent. Develop new leaders. Help others to find purpose amid uncertainty.
- Stakeholder Engagement: Develop credibility and trust with leaders by demonstrating expertise, aligning around shared goals, and acting as a thought partner. Develop a deep understanding of customer needs and apply that knowledge to prioritize projects, design solutions, and execute. Influence a wide-range of senior leaders inside and outside PennDnA. Articulate vision, build consensus, and inspire action to achieve outcomes.
- Continuous Improvement: Drive innovation and excellence across the organization, continuously seeking ways to enhance the use of data for informed decision-making. Stay abreast of industry trends, emerging technologies, and best practices in healthcare data analytics.
Education or Equivalent Experience
- Bachelor's Degree is required. Education Specialization: e.g., Computer Science, Mathematics, Data Science, Machine Learning.
- 10+ years progressively responsible experience developing ML solutions, putting them into production, and scaling is required.
- Master's Degree is required. Education Specialization: e.g., Computer Science, Mathematics, Data Science, Machine Learning.
- Ph.D. is preferred.
We believe that the best care for our patients starts with the best care for our employees. Our employee benefits programs help our employees get healthy and stay healthy. We offer a comprehensive compensation and benefits program that includes one of the finest prepaid tuition assistance programs in the region. Penn Medicine employees are actively engaged and committed to our mission. Together we will continue to make medical advances that help people live longer, healthier lives. Live Your Life's Work
We are an Equal Opportunity employer. Candidates are considered for employment without regard to race, ethnicity, color, sex, sexual orientation, gender identity, religion, national origin, ancestry, age, disability, marital status, familial status, genetic information, domestic or sexual violence victim status, citizenship status, military status, status as a protected veteran or any other status protected by applicable law.
AI Product Engineer Job Roles in Pennsylvania
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Search AI Product Engineer Jobs in PennsylvaniaAI Product Engineer Jobs in Pennsylvania: Frequently Asked Questions
Which companies sponsor visas for AI product engineers in Pennsylvania?
Comcast in Philadelphia is among the most active H-1B sponsors in Pennsylvania's tech sector. Other consistent sponsors include Highmark Health, PNC Financial Services, and Dick's Sporting Goods in Pittsburgh, along with university-affiliated research labs at Carnegie Mellon and Penn. Consulting firms with Pennsylvania offices, such as Accenture and Deloitte, also file H-1B petitions for AI-focused product roles.
Which visa types are most common for AI product engineer roles in Pennsylvania?
The H-1B is the primary visa category for AI product engineers in Pennsylvania, as these roles typically qualify as specialty occupations requiring a bachelor's degree or higher in computer science, AI, or a related field. Candidates with advanced degrees may also see employers file under the H-1B cap-exempt track if the employer qualifies. L-1B visas are used for intracompany transfers into specialized knowledge roles at multinationals with Pennsylvania offices.
How to find ai product engineer visa sponsorship jobs in Pennsylvania?
Migrate Mate filters job listings specifically by visa sponsorship availability, so you can search AI product engineer roles in Pennsylvania without sorting through positions that won't support international candidates. The platform surfaces employers that have active H-1B filing histories in the state, which is particularly useful for targeting Philadelphia's tech corridor and Pittsburgh's AI research ecosystem before applying broadly.
Which cities in Pennsylvania have the most AI product engineer sponsorship jobs?
Philadelphia generates the largest volume of AI product engineer sponsorship opportunities in Pennsylvania, driven by Comcast, major financial institutions, and a growing healthtech sector. Pittsburgh follows closely, with Carnegie Mellon's proximity creating a strong pipeline into AI-focused startups, autonomous vehicle companies, and research-commercialization firms. Smaller hubs in the Lehigh Valley and suburban Philadelphia also have employer clusters in logistics tech and manufacturing AI.
Are there state-specific considerations for AI product engineers seeking sponsorship in Pennsylvania?
Pennsylvania employers sponsoring H-1B workers must meet Department of Labor prevailing wage requirements specific to the Philadelphia or Pittsburgh metropolitan statistical areas, which differ from each other and from national figures. Carnegie Mellon's strong AI research output creates a consistent pipeline of OPT candidates who convert to H-1B, meaning employers in Pittsburgh are often experienced with international hiring. Healthtech and insurtech firms in the Philadelphia suburbs are increasingly common sponsors as AI product roles expand in regulated industries.
What is the prevailing wage for sponsored ai product engineer jobs in Pennsylvania?
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.