AI Data Engineer Visa Sponsorship Jobs in New Jersey
New Jersey's AI data engineer hiring is anchored by major employers in the pharma corridor along Route 1, financial services firms in Jersey City, and tech operations tied to the broader New York metro. Companies like Johnson & Johnson, Cognizant, and Prudential Financial have consistent records of sponsoring H-1B visas for data and AI engineering roles across the state.
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Job Description
The role provides independent, risk-based assurance over RBC's AI and data governance frameworks, ensuring that AI adoption is responsible, compliant, and aligned with the bank's risk appetite—thereby protecting RBC's reputation, clients, and stakeholders while enabling innovation.
Independent Assurance
- Assess the design and operating effectiveness of AI governance, model risk management, and AI lifecycle controls across global operations
- Develop and maintain the Global AI Audit Coverage Strategy, ensuring comprehensive audit coverage of AI platforms, use cases, and supporting infrastructure
- Validate adherence to evolving AI regulations and coordinate responses to regulatory exams and inquiries
- Conduct continuous risk monitoring of the AI landscape, identifying emerging risks and reporting to senior leadership
- Position RBC Internal Audit as an industry leader in AI assurance, contributing to standards development and peer collaboration
Strategy and Planning
Develop and Maintain the Global AI Audit Coverage Strategy
- Annually refresh the AI Audit Coverage Strategy, ensuring alignment with RBC's AI transformation roadmap, regulatory expectations, and emerging risks
- Define audit methodologies for traditional AI/ML, Generative AI, and Agentic AI technologies
- Conduct risk assessments over AI-related Auditable Entities (AEs), mapping AI models, platforms, and business processes to audit coverage
- Coordinate with other IA teams (Model Risk, Data, Technology, Operations, Cybersecurity, Compliance) to ensure integrated audit approach
Lead Annual Audit Planning for AI and Data Risk
- Partner with Regional Chief Audit Executives (CAEs) to prioritize AI audits based on risk, cycle requirements, and strategic initiatives
- Balance audit coverage across:
- 2LOD AI Risk Management (AI Risk Governance, Enterprise Model Risk Management)
- 1LOD Centralized AI Governance (AI Group, Data & Analytics, Enterprise Architecture)
- 1LOD Platform Audits (Capital Markets, Wealth Management, Banking, Insurance)
- Allocate budget and resources for AI and data audits, including co-sourcing arrangements
Define Audit Methodologies for Emerging AI Technologies
- Establish audit approaches for Generative AI platforms, AI workbenches, and Agentic AI systems
- Develop testing methodologies for:
- AI governance frameworks and committee operating models
- Model validation processes (bias testing, fairness metrics, model cards, datasheets)
- AI lifecycle controls (development, deployment, monitoring, change management)
- Data governance for AI (lineage, retention, classification, consent, privacy impact assessments)
- Third-party AI vendor risk management
- AI security and resilience (zero-trust architecture, RBAC, output sanitization, drift detection)
- Regulatory compliance (EU AI Act, Canadian Federal Anti-Fraud Strategy, OSFI guidance)
Partner with 2LOD and 1LOD on Evolving AI Frameworks
- Engage proactively with the AI Risk Governance team and Enterprise Model Risk Management to provide input on framework development
- Serve as a trusted advisor to the AI Group on control design and best practices
- Participate in industry forums (e.g., OSFI's Financial Industry Forum on AI) to contribute to AI governance standards
Global Audit Execution
Direct Audit Engagements Across Platforms
- Oversee execution of AI and data audits across Capital Markets, Wealth Management, Personal & Commercial Banking, Insurance & GAM, and Enterprise Functions.
Oversee Audits of AI Governance, Model Risk Management, and AI Lifecycle Controls
- AI Governance Audits: Assess the design and effectiveness of governance structures, policies, committee operations (AI Working Forum, Executive AI Council, platform AI committees), and escalation processes
- Model Risk Management Audits: Evaluate model validation frameworks, ongoing monitoring, model documentation, and validation independence
- AI Lifecycle Audits: Review controls for AI development, deployment, monitoring, incident response, and decommissioning
Coordinate Integrated Audits with Technology, Operations, Data, Model Risk, and Cybersecurity Teams
- Lead integrated audits that combine AI-specific testing with broader IT, data, and operational risk assessments
- Partner with:
- Cyber & IT Risk Audit: AI security controls, cryptography, access management
- Model Risk Audit: Model validation, EMRM oversight
- Technology Infrastructure Audit: Cloud platforms, disaster recovery, IT asset management supporting AI
- Global Compliance Audit: BSA/AML controls, fair lending, regulatory compliance
Regulatory and Compliance Oversight
Monitor Evolving AI Regulations
- Track and interpret regulatory developments across key jurisdictions (Examples below):
- European Union: EU AI Act (risk-based classification, prohibited practices, transparency requirements)
- Canada: Federal Anti-Fraud Strategy, OSFI guidance on model risk and AI governance
- United States: OCC guidance, FCAC consumer protection, state-level AI regulations
- UK: UK AI Bill, FCA expectations
- APAC: MAS AI governance frameworks, Australian Scams Prevention Framework
- Assess implications for RBC's AI programs and audit coverage strategy
Lead Regulatory Issue Validation and Coordinate Regulatory Exam Responses
- Validate management's remediation of regulatory issues related to AI (e.g., GRM AI Governance issues, Capital Markets AI Governance Framework issues)
- Coordinate responses to regulatory exams on AI governance, model risk management, and data governance
- Liaise with regulatory affairs teams and external auditors to ensure consistent messaging
Ensure Audit Coverage Addresses Regulatory Expectations Across Jurisdictions
Liaise with Regulators (OSFI, OCC, FCAC, FCA, MAS, etc.)
- Serve as the primary IA contact for regulatory inquiries on AI and data governance
- Present audit findings and observations to regulators during examinations
- Participate in regulatory forums and roundtables on AI risk management
Governance and Reporting
Provide Executive Reporting to the Audit Committee and Risk Committee of the Board
- Deliver quarterly presentations on:
- AI risk profile and emerging trends
- Status of AI audit plan execution
- Key audit findings and management action plans
- Regulatory issues and validation status
- Continuous risk monitoring insights
- Prepare written reports summarizing AI governance maturity, control environment effectiveness, and areas requiring Board attention
Present AI Risk Profile Assessments and Audit Findings to Senior Leadership
Participate as IA Observer in Key Governance Forums
Maintain Continuous Risk Monitoring of the AI Landscape
- Conduct quarterly Continuous Risk Monitoring (CRM) assessments for AI-related Auditable Entities
- Assign risk ratings (Satisfactory, Requires Improvement, Unsatisfactory) and escalate concerns to senior leadership
What do you need to succeed?
- A minimum of 12-15 years of experience in financial sector audit with practice focus and expertise in IT
- Undergraduate degree
- Excellent communication skills
- Accountability, leadership, initiative, teamwork, change agent and impact and influence
- Risk management and audit expertise
- In-depth knowledge of US regulatory landscape and strong working background/experience with key US regulators
- Strong analytical, communication, strategic and creative mindset with strong execution ability
- High level of general management skills, including leading, negotiating, communication and team building
- Effective interaction/dealing with executives and senior management and ability to maintain a strong relationship with IA staff, partners and external stakeholders
- Strong analytical, communication, computer, and interpersonal skills
What's in it for you?
We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.
- A comprehensive Total Rewards Program include competitive compensation and flexible benefits, such as 401(k) program with company-matching contributions, health, dental, vision, life, disability insurance, and paid-time off.
- Leaders who support your development through coaching and managing opportunities.
- Ability to make a difference and lasting impact.
- Work in a dynamic, collaborative, progressive, and high-performing team.
- Opportunities to do challenging work.
- Opportunities to build close relationships with clients.
The expected salary range for this particular position is $200,000-$340,000, depending on your experience, skills, and registration status, market conditions and business needs.
You have the potential to earn more through RBC’s discretionary variable compensation program which gives you an opportunity to increase your total compensation, provided the business meets its performance targets and you meet your individual goals.
RBC’s compensation philosophy and principles recognize the importance of a highly qualified global workforce and plays a critical role in attracting, engaging and retaining talent that:
- Drives RBC’s high-performance culture
- Enables collective achievement of our strategic goals
- Generates sustainable shareholder returns and above market shareholder value
LI-POST
Job Skills
Adaptability, Auditing, Detail-Oriented, Internal Controls, Interpersonal Relationship Management, Long Term Planning, Multi-Level Communication, Organizational Savvy and Politics, Results-Oriented
Additional Job Details
Address:
20 KING ST W:TORONTO
City:
Toronto
Country:
Canada
Work hours/week:
37.5
Employment Type:
Full time
Platform:
INTERNAL AUDIT
Job Type:
Regular
Pay Type:
Salaried
Posted Date:
2026-09-09
Application Deadline:
2026-10-09
Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
Our Employment Opportunities
At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.
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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.
RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.
AI Data Engineer Job Roles in New Jersey
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Search AI Data Engineer Jobs in New JerseyAI Data Engineer Jobs in New Jersey: Frequently Asked Questions
Which companies sponsor visas for AI data engineers in New Jersey?
New Jersey's largest H-1B sponsors for data and AI engineering roles include Cognizant, Tata Consultancy Services, Johnson & Johnson, Prudential Financial, and Merck. IT consulting firms headquartered or with major delivery centers in the state file a significant share of these petitions. Pharmaceutical and financial services companies also sponsor directly for in-house AI and data engineering positions.
Which visa types are most common for AI data engineer roles in New Jersey?
The H-1B is by far the most common visa for AI data engineers in New Jersey, given the role's classification as a specialty occupation requiring a bachelor's degree or higher in computer science, data science, or a related field. OPT and STEM OPT extensions are also widely used by recent graduates before employer-sponsored petitions are filed. Some multinational employers use the L-1B for intracompany transfers with specialized knowledge.
Which cities in New Jersey have the most AI data engineer sponsorship jobs?
Jersey City and Newark see the highest concentration of AI data engineer sponsorship activity, largely due to financial services and tech firms operating close to New York City. The Route 1 corridor, including Plainsboro, Princeton, and Parsippany, is a second major hub driven by pharmaceutical and life sciences employers. Florham Park and Basking Ridge also have a notable presence through telecom and insurance sector hiring.
How to find ai data engineer visa sponsorship jobs in New Jersey?
Migrate Mate is built specifically for international candidates seeking visa sponsorship roles in the U.S., including AI data engineer positions in New Jersey. You can filter directly by state and role to surface employers actively sponsoring visas. Because sponsorship willingness is often unlisted on general job postings, using a platform that pre-filters for it saves significant time in your New Jersey job search.
Are there state-specific factors that affect AI data engineer sponsorship hiring in New Jersey?
New Jersey's density of Fortune 500 pharma and financial firms means many AI data engineer roles require domain knowledge in regulated industries, which can influence how employers frame specialty occupation qualifications for H-1B petitions. Rutgers University and NJIT also supply a steady pipeline of OPT-eligible candidates, so employers in the state are generally familiar with sponsorship processes. Proximity to New York City means some roles are hybrid or shared across both states, which can affect the labor condition application filing location.
What is the prevailing wage for sponsored ai data engineer jobs in New Jersey?
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.