AI Data Engineer Visa Sponsorship Jobs in Pennsylvania
Pennsylvania's AI data engineer hiring spans Philadelphia's growing fintech and healthcare tech sectors, Pittsburgh's world-class AI research corridor anchored by Carnegie Mellon University and the University of Pittsburgh, and major employers like Comcast, Highmark Health, and PNC Financial. Visa sponsorship roles appear consistently across both metro areas, with demand concentrated in data infrastructure, ML pipelines, and enterprise AI platforms.
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JOB SUMMARY
This job is responsible for collaborating with leaders to understand their business objectives and challenges and providing expert guidance on the integration of artificial intelligence. This individual conducts assessments of systems, data, infrastructure, and business processes to identify opportunities for AI products and services. The incumbent collaborates across vendor partners, internal data scientists, data, and infrastructure to facilitate requirements gathering for AI product and service proof of concept design and advises on the implementation plan. The AI Consultant serves as an expert in change management, facilitating interventions to prepare for user readiness and adoption and supports business project teams on tactical implementation to ensure optimal value creation.
ESSENTIAL RESPONSIBILITIES
- Problem Identification: Collaborate with business leaders and partners to identify automation opportunities. Create and deliver education to individuals and teams to support effective ideation. Work with data science teams to triage and prioritize ideas in a consistent manner while keeping the business informed along the journey. Serve as a solution designer by recommending roadmaps and/or identifying patterns that could lead to a higher return on investment.
- Proof of Concept Design: Work across teams to facilitate the design of a proof of concept. Ensure alignment around the problem statement and the measures that would determine whether the solution is viable. Facilitate engagement across partners and stakeholders to drive timely decision making and business case design.
- Implementation: Facilitate the process to translate proof of concept into scaled use and value creation. This includes working with project leads and business owners to create plans that care for all of the technical and people related change impacts in support of the business case. Serve as an advisor and partner for change execution. This includes, but is not limited to, working with internal and external learning and communications partners and change strategists to design and deliver interventions that mitigate adoption risk.
- Value Creation: Work with business leaders, portfolio teams, human resources, and finance to take the necessary steps to ensure that the value captured in the business case is captured in the respective systems.
- Other duties as assigned or requested.
Experience
Required
- 5 years of experience in management consulting or strategy.
- 5 years of experience in orchestrating and leading change management plans and interventions.
Preferred
- 2 years of experience in digital transformation at scale.
SKILLS
- Strong understanding of AI technologies, including generative AI, machine learning, deep learning, natural language processing, and computer vision.
- Ability to understand business challenges and identify opportunities for AI implementation.
- Strong analytical and problem-solving skills to develop AI solutions that align with business objectives.
- Experience working with cross-functional teams, including business stakeholders, IT professionals, and data scientists.
- Ability to effectively communicate complex AI concepts to both technical and non-technical audiences.
- Strong presentation skills to convey insights and recommendations to stakeholders.
- Experience in writing technical documentation and reports.
- Ability to manage AI projects from inception to deployment, including planning, budgeting, and risk management (technology and people).
- Commitment to staying up-to-date with the latest advancements in AI and related technologies.
Education
Required
- Bachelor’s degree in business, information technology, computer science, data science, or related field (OR) relevant experience and/or education as determined by the company in lieu of bachelor's degree.
Preferred
- Master's degree in business, information technology, computer science or related field.
LICENSES or CERTIFICATIONS
Required
- None
Preferred
- Certified change management practitioner.
Language (Other than English):
- None
Travel Requirement:
- 0% - 25%
PHYSICAL, MENTAL DEMANDS and WORKING CONDITIONS
Position Type
- Office- or Remote-based
Teaches / trains others
- Occasionally
Travel from the office to various work sites or from site-to-site
- Rarely
Works primarily out-of-the office selling products/services (sales employees)
- Never
Physical work site required
- No
Lifting: up to 10 pounds
- Constantly
Lifting: 10 to 25 pounds
- Occasionally
Lifting: 25 to 50 pounds
- Rarely
Disclaimer: The job description has been designed to indicate the general nature and essential duties and responsibilities of work performed by employees within this job title. It may not contain a comprehensive inventory of all duties, responsibilities, and qualifications required of employees to do this job.
Compliance Requirement: This job adheres to the ethical and legal standards and behavioral expectations as set forth in the code of business conduct and company policies.
As a component of job responsibilities, employees may have access to covered information, cardholder data, or other confidential customer information that must be protected at all times. In connection with this, all employees must comply with both the Health Insurance Portability Accountability Act of 1996 (HIPAA) as described in the Notice of Privacy Practices and Privacy Policies and Procedures as well as all data security guidelines established within the Company’s Handbook of Privacy Policies and Practices and Information Security Policy.
Furthermore, it is every employee’s responsibility to comply with the company’s Code of Business Conduct. This includes but is not limited to adherence to applicable federal and state laws, rules, and regulations as well as company policies and training requirements.
Highmark Health and its affiliates prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibit discrimination against all individuals based on any category protected by applicable federal, state, or local law.
We endeavor to make this site accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact the email below.
For accommodation requests, please contact HR Services Online at HRServices@highmarkhealth.org
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AI Data Engineer Job Roles in Pennsylvania
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Search AI Data Engineer Jobs in PennsylvaniaAI Data Engineer Jobs in Pennsylvania: Frequently Asked Questions
Which companies sponsor visas for AI data engineers in Pennsylvania?
Several large Pennsylvania employers have consistent H-1B visa sponsorship records for data and AI engineering roles. Comcast and its technology subsidiaries in Philadelphia, Highmark Health and UPMC in Pittsburgh, and PNC Financial Services are among the more active sponsors. Mid-size AI and analytics firms in the Philadelphia metro and Pittsburgh's Strip District tech cluster also file regularly, particularly for roles involving data pipeline architecture and machine learning infrastructure.
Which visa types are most common for AI data engineer roles in Pennsylvania?
The H-1B is the most common visa category for AI data engineers in Pennsylvania. These roles typically qualify as specialty occupations because they require at least a bachelor's degree in computer science, data engineering, or a closely related field. Candidates already on F-1 OPT or STEM OPT can work while their employer files an H-1B petition. The O-1A is an option for candidates with demonstrable recognition in AI or data engineering, though it requires substantial documentation.
How to find ai data engineer visa sponsorship jobs in Pennsylvania?
Migrate Mate filters job listings specifically by visa sponsorship willingness, so you can search for AI data engineer roles in Pennsylvania without sifting through postings that won't support international candidates. The platform surfaces positions in Philadelphia, Pittsburgh, and surrounding areas from employers with documented sponsorship activity. Filtering by role and state gives you a focused list that reflects current openings rather than a general job feed.
Which cities in Pennsylvania have the most AI data engineer sponsorship jobs?
Pittsburgh and Philadelphia account for the majority of AI data engineer sponsorship activity in Pennsylvania. Pittsburgh's concentration of university research labs, robotics companies, and AI-focused startups makes it a particularly active market, with Carnegie Mellon University itself hiring for engineering and research-adjacent roles. Philadelphia draws sponsoring employers in healthcare IT, financial services, and enterprise software. Smaller hubs like Malvern and Wayne in the Philadelphia suburbs also have a notable presence of tech company offices that file H-1B petitions.
Are there any Pennsylvania-specific considerations for AI data engineers seeking visa sponsorship?
Pennsylvania's AI data engineering market benefits from strong university pipelines, particularly from Carnegie Mellon, Penn, and Drexel, which means many employers in the state already have established processes for sponsoring international candidates transitioning from student visas. Prevailing wage requirements for H-1B filings are set by the Department of Labor and vary by metropolitan area, so the wage level attached to a Pittsburgh-based role will differ from a Philadelphia-based one even for the same job title.
What is the prevailing wage for sponsored ai data 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.