Senior AI Software Engineer Visa Sponsorship Jobs in Pennsylvania
Pennsylvania's senior AI software engineer hiring spans Philadelphia's growing tech corridor, Pittsburgh's Carnegie Mellon-anchored AI research ecosystem, and major employers like Comcast, SAP, and Booz Allen Hamilton. Companies across finance, healthcare, and defense contracting regularly seek senior-level AI talent, making Pennsylvania one of the more active states for visa sponsorship in this specialization.
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Get Access To All JobsJob Description
The AI Governance Officer is a senior-level contributor responsible for administering the Bank's enterprise AI governance framework and supporting the oversight of artificial intelligence use cases throughout their lifecycle. The role exercises sound judgment in assessing AI-related risks, facilitating risk-based governance decisions, coordinating cross-functional review processes, and ensuring compliance with internal standards and regulatory expectations. The position plays a critical role in enabling responsible innovation while maintaining transparency, accountability, and effective oversight of AI capabilities deployed across the institution.
Essential Functions
- Leads administration of the Bank’s enterprise AI risk governance framework and supporting procedures. Coordinates activities across all business lines and corporate functions.
- Coordinate intake, assessment, and governance activities for proposed AI use cases. Determine and document the classification of solutions as models, agents, tools, job aids, or other categories defined by policy.
- Serve coordinator for the AI Working Group, including preparation of agendas, meeting materials, decision logs, and action item tracking.
- Maintain the enterprise inventory of AI use cases and associated governance records.
- Assess proposed AI implementations to determine applicable governance requirements and control expectations.
- Develop management reporting and dashboards related to AI inventory, approvals, issues, and emerging risks. Monitor compliance with AI governance standards and escalate material issues to executive leadership.
- Promote awareness and understanding of AI governance requirements throughout the institution.
- Develops and maintains enterprise policies, standards, and procedures governing AI risk.
- Serve as a senior member of the Model Risk team, exercising sound judgment in evaluating model risk and making decisions on model approvals and issue closures as a delegate of the Chief Model Risk Officer.
- Participate in the research and evaluation of emerging modeling techniques, including AI/ML, and assess their applicability and risk implications within the institution.
- Contribute to the development and enhancement of the model risk management framework, including validation methodologies, documentation standards, and governance practices.
- Review academic and industry research, summarize key insights, and propose practical applications to improve model risk oversight and innovation.
- Ensure compliance with Northwest’s policies and procedures, as well as applicable federal and state regulations including SR26-2, interagency AI/ML guidance, and the U.S. Treasury Financial Services AI Risk Management Framework.
- Interprets evolving regulatory expectations relating to artificial intelligence and translates them into practical governance requirements.
- Serves as the primary coordinator for regulatory examinations, audits, and independent reviews of AI governance.
Additional Essential Functions
- Ensure compliance with Northwest’s policies and procedures, and Federal/State regulations
- Navigate Microsoft Office Software, computer applications, and software specific to the department in order to maximize technology tools and gain efficiency
- Work as part of a team
- Work with on-site equipment
What You Bring to the Team
- Participate in enterprise initiatives involving emerging technologies and advanced analytics.
- Own the design, implementation, and enhancement of governance workflows within Archer or similar systems.
- Recommend customer service enhancements
Qualifications
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Education
Bachelor's Degree
Undergraduate degree in risk management, business, economics, statistics, mathematics, information systems, computer science, law, or related discipline.
Master's Degree
Master's degree in risk management, business, economics, statistics, mathematics, information systems, computer science, law, or related discipline.
Work Experience
8 - 12 years
Experience in a financial institution or consulting environment, with demonstrated exposure to AI governance
And
3 - 5 years
Experience evaluating or governing AI/ML use cases across the lifecycle, including:
- pre-implementation assessment
- control design
- post-deployment monitoring
Experience with generative AI, machine learning, or decision-support systems, including understanding of associated risks (e.g., bias, explainability, data dependency, automation risk)
Experience supporting or interacting with internal audit, regulators, or independent model review functions
Additional Knowledge, Skills And Abilities
- Ability to apply risk-based judgment in ambiguous situations, particularly in evaluating AI use cases where regulatory expectations and governance standards are evolving
- Ability to analyze complex AI/ML concepts and communicate risks, limitations, and trade-offs clearly to both technical and non-technical stakeholders
- Ability to challenge and influence business and technology stakeholders to ensure appropriate risk identification, control design, and governance outcomes
- Ability to identify patterns, emerging risks, and systemic issues across multiple AI use cases rather than evaluating them in isolation.
- Ability to make sound governance decisions in gray areas, including classification (model vs agent vs tool), control requirements, and escalation thresholds
- Ability to coordinate cross-functional governance processes and drive clear outcomes across Risk, Technology, Compliance, Legal, and Business teams
- Ability to develop and interpret risk metrics, monitoring outputs, and performance indicators for AI systems
Licenses and Certifications
- Certified Information Systems Auditor (CISA)
- Certified in Risk and Information Systems Control (CRISC)
- Financial Risk Manager (FRM)
- Certified Third-Party Risk Professional (CTPRP)
- Relevant AI governance certifications
Northwest is an equal opportunity employer. We are committed to creating an inclusive environment for all employees.
Job Description
The AI Governance Officer is a senior-level contributor responsible for administering the Bank's enterprise AI governance framework and supporting the oversight of artificial intelligence use cases throughout their lifecycle. The role exercises sound judgment in assessing AI-related risks, facilitating risk-based governance decisions, coordinating cross-functional review processes, and ensuring compliance with internal standards and regulatory expectations. The position plays a critical role in enabling responsible innovation while maintaining transparency, accountability, and effective oversight of AI capabilities deployed across the institution.
Essential Functions
- Leads administration of the Bank’s enterprise AI risk governance framework and supporting procedures. Coordinates activities across all business lines and corporate functions.
- Coordinate intake, assessment, and governance activities for proposed AI use cases. Determine and document the classification of solutions as models, agents, tools, job aids, or other categories defined by policy.
- Serve coordinator for the AI Working Group, including preparation of agendas, meeting materials, decision logs, and action item tracking.
- Maintain the enterprise inventory of AI use cases and associated governance records.
- Assess proposed AI implementations to determine applicable governance requirements and control expectations.
- Develop management reporting and dashboards related to AI inventory, approvals, issues, and emerging risks. Monitor compliance with AI governance standards and escalate material issues to executive leadership.
- Promote awareness and understanding of AI governance requirements throughout the institution.
- Develops and maintains enterprise policies, standards, and procedures governing AI risk.
- Serve as a senior member of the Model Risk team, exercising sound judgment in evaluating model risk and making decisions on model approvals and issue closures as a delegate of the Chief Model Risk Officer.
- Participate in the research and evaluation of emerging modeling techniques, including AI/ML, and assess their applicability and risk implications within the institution.
- Contribute to the development and enhancement of the model risk management framework, including validation methodologies, documentation standards, and governance practices.
- Review academic and industry research, summarize key insights, and propose practical applications to improve model risk oversight and innovation.
- Ensure compliance with Northwest’s policies and procedures, as well as applicable federal and state regulations including SR26-2, interagency AI/ML guidance, and the U.S. Treasury Financial Services AI Risk Management Framework.
- Interprets evolving regulatory expectations relating to artificial intelligence and translates them into practical governance requirements.
- Serves as the primary coordinator for regulatory examinations, audits, and independent reviews of AI governance.
Additional Essential Functions
- Ensure compliance with Northwest’s policies and procedures, and Federal/State regulations
- Navigate Microsoft Office Software, computer applications, and software specific to the department in order to maximize technology tools and gain efficiency
- Work as part of a team
- Work with on-site equipment
What You Bring to the Team
- Participate in enterprise initiatives involving emerging technologies and advanced analytics.
- Own the design, implementation, and enhancement of governance workflows within Archer or similar systems.
- Recommend customer service enhancements
Qualifications
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Education
Bachelor's Degree
Undergraduate degree in risk management, business, economics, statistics, mathematics, information systems, computer science, law, or related discipline.
Master's Degree
Master's degree in risk management, business, economics, statistics, mathematics, information systems, computer science, law, or related discipline.
Work Experience
8 - 12 years
Experience in a financial institution or consulting environment, with demonstrated exposure to AI governance
And
3 - 5 years
Experience evaluating or governing AI/ML use cases across the lifecycle, including:
- pre-implementation assessment
- control design
- post-deployment monitoring
Experience with generative AI, machine learning, or decision-support systems, including understanding of associated risks (e.g., bias, explainability, data dependency, automation risk)
Experience supporting or interacting with internal audit, regulators, or independent model review functions
Additional Knowledge, Skills And Abilities
- Ability to apply risk-based judgment in ambiguous situations, particularly in evaluating AI use cases where regulatory expectations and governance standards are evolving
- Ability to analyze complex AI/ML concepts and communicate risks, limitations, and trade-offs clearly to both technical and non-technical stakeholders
- Ability to challenge and influence business and technology stakeholders to ensure appropriate risk identification, control design, and governance outcomes
- Ability to identify patterns, emerging risks, and systemic issues across multiple AI use cases rather than evaluating them in isolation.
- Ability to make sound governance decisions in gray areas, including classification (model vs agent vs tool), control requirements, and escalation thresholds
- Ability to coordinate cross-functional governance processes and drive clear outcomes across Risk, Technology, Compliance, Legal, and Business teams
- Ability to develop and interpret risk metrics, monitoring outputs, and performance indicators for AI systems
Licenses and Certifications
- Certified Information Systems Auditor (CISA)
- Certified in Risk and Information Systems Control (CRISC)
- Financial Risk Manager (FRM)
- Certified Third-Party Risk Professional (CTPRP)
- Relevant AI governance certifications
Northwest is an equal opportunity employer. We are committed to creating an inclusive environment for all employees.
Senior AI Software Engineer Job Roles in Pennsylvania
See all 284+ Senior AI Software Engineer Jobs in Pennsylvania
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Search Senior AI Software Engineer Jobs in PennsylvaniaSenior AI Software Engineer Jobs in Pennsylvania: Frequently Asked Questions
Which companies sponsor visas for senior AI software engineers in Pennsylvania?
Several large employers in Pennsylvania have consistent track records of sponsoring H-1B visas for senior AI software engineers. These include Comcast in Philadelphia, SAP America in Newtown Square, and consulting and defense firms such as Booz Allen Hamilton and Leidos. Pittsburgh-based technology operations tied to Carnegie Mellon's research partnerships, along with healthcare systems like UPMC, also appear regularly in federal Labor Condition Application filings for AI and machine learning roles.
Which visa types are most common for senior AI software engineer roles in Pennsylvania?
The H-1B is the most common visa category for senior AI software engineers in Pennsylvania, as the role consistently qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, AI, or a related field. Candidates with extraordinary ability in AI research may qualify for the O-1A. Those already in the U.S. on F-1 OPT or STEM OPT can work while an employer files an H-1B petition on their behalf.
Which cities in Pennsylvania have the most senior AI software engineer sponsorship jobs?
Philadelphia and Pittsburgh account for the majority of senior AI software engineer sponsorship activity in Pennsylvania. Philadelphia draws demand from enterprise technology, financial services, and healthcare IT employers. Pittsburgh benefits from proximity to Carnegie Mellon University and the University of Pittsburgh, which anchor a dense concentration of AI research labs, robotics companies, and autonomous systems startups. Smaller clusters exist in the Lehigh Valley corridor and around State College, home to Penn State.
How to find senior ai software engineer visa sponsorship jobs in Pennsylvania?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it easier to identify Pennsylvania employers actively hiring senior AI software engineers who need work authorization. Rather than sorting through general job postings, you can search directly for roles where sponsorship is confirmed. Migrate Mate is particularly useful for narrowing results to the Philadelphia and Pittsburgh metros, where most Pennsylvania sponsorship activity for this role is concentrated.
Are there state-specific factors that affect visa sponsorship for senior AI software engineers in Pennsylvania?
Pennsylvania's strong university pipeline, particularly from Carnegie Mellon, Penn, and Penn State, means employers in the state are experienced with international talent and H-1B sponsorship processes. The Department of Labor's prevailing wage determinations for senior AI software engineers in Pennsylvania reflect the seniority level of the role, and employers must certify they are meeting those wage thresholds when filing a Labor Condition Application. Pittsburgh's AI research density also means some positions fall under cap-exempt institutions, such as universities and affiliated nonprofits.
What is the prevailing wage for sponsored senior ai software 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.