H-1B Visa AI Data Engineer Jobs
AI Data Engineer roles qualify as H-1B visa specialty occupations under the computer and information systems job category, requiring at least a bachelor's degree in computer science, data engineering, or a related field. Employers across tech, finance, and healthcare file H-1B petitions for these roles every cap season, making it one of the more consistently sponsored titles in the data space.
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INTRODUCTION
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Why should you consider this role:
A senior enterprise architect and trusted advisor responsible for defining and leading enterprise-wide Data Governance, AI Governance, Data Management, and Architecture strategies. The role focuses on establishing governance frameworks, operating models, platforms, controls, and AI governance practices that enable organizations to scale data and AI capabilities safely and effectively.
Your Role:
- Define enterprise data governance and AI governance strategies, operating models, roadmaps, KPIs, business cases, and value realization plans.
- Advise executive stakeholders including CDO, CIO, CTO, Risk, Privacy, Security, Compliance, and Business Leaders.
- Lead governance maturity assessments, capability design, architecture reviews, platform evaluations, and implementation roadmaps.
- Own architecture, quality, risk, and delivery across governance, catalog, data quality, privacy, MDM, analytics, cloud, and AI initiatives.
- Architect and implement governance platforms: Collibra, Informatica IDMC/CDGC, Alation, Ataccama, Microsoft Purview, Atlan, Databricks Unity Catalog, IBM watsonx.governance. Design metadata management, lineage, business glossaries, stewardship, data quality, certification, privacy, retention, and data-product governance capabilities.
AI & Agentic AI Leadership:
- Use GenAI and AI agents to automate metadata discovery, glossary creation, lineage analysis, anomaly detection, issue remediation, and governance monitoring.
- Design AI governance frameworks covering AI intake and risk assessment, RAG readiness, model inventories, monitoring, incident management, recertification, and retirement.
- Establish Responsible AI controls for fairness, transparency, explainability, privacy, security, traceability, and human oversight. Design agentic AI environments with confidence thresholds, approval workflows, exception handling, rollback mechanisms, and accountable ownership.
Required Experience:
- 10+ years in Data Governance, Enterprise Data Management, Data Architecture, AI Governance, or Consulting.
- Proven leadership of enterprise transformation programs and governance implementations.
- Deep expertise in Governance Frameworks, Data Quality, Metadata Management, MDM, Data Lineage, Privacy, AI Governance, Responsible AI, and Enterprise Architecture. Knowledge of Generative AI, Agentic AI, RAG, Knowledge Graphs, Agent Orchestration, AI Monitoring, and Security Controls.
Leadership Expectations:
- Operate as a senior architecture lead and trusted advisor.
- Translate strategy into governance solutions, roadmaps, and measurable outcomes.
- Lead stakeholder alignment and enterprise decision-making.
- Mentor teams, build reusable assets, support proposals, and contribute thought leadership. Balance innovation, compliance, cost, risk, speed, and business value.
Preferred Certifications
- DAMA CDMP
- EDM Council DCAM
- TOGAF Enterprise Architecture
- IAPP AIGP
- ISO 42001 Lead Implementer/Auditor
- NIST AI Risk Management Framework
- Collibra, Informatica, Microsoft Purview, Databricks, IBM, AWS, Azure, or Google Cloud certifications
- PMP, Agile/Scrum, Privacy, Security, Risk, and Change Management certifications
Success Measures
- Successful adoption of governance and AI governance frameworks.
- Improved data quality, metadata, lineage, compliance, and audit readiness.
- Increased AI readiness and controlled AI adoption.
- Strong stakeholder engagement and measurable business value.
- Demonstrated ability to architect and govern enterprise-scale data and AI ecosystems.
The base compensation range for this role in the posted location is: $117,930 to $223,591.
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
- Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
- Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
- Other benefits as provided by local policy and eligibility
Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.
Disclaimers
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
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Get Access To All JobsTips for Finding H-1B Visa Sponsorship as an AI Data Engineer
Align your degree to the role
USCIS scrutinizes whether your specific degree field matches the job duties. A computer science or information systems degree maps cleanly to AI Data Engineer; a general business or unrelated STEM degree may trigger an RFE even when your skills are strong.
Use OFLC Wage Search before negotiating
Your employer must pay the DOL prevailing wage for your exact SOC code and work location. Pull the OFLC Wage Search figures for your metro area before you negotiate so your offer clears Level I or Level II minimums and avoids an LCA rejection.
Target employers with cap-exempt filing history
Universities, nonprofit research institutions, and government-affiliated entities can file H-1B petitions year-round without entering the lottery. If you're open to applied research or academic data roles, these organizations let you start without waiting for April registration.
Search verified sponsors on Migrate Mate
Filter your AI Data Engineer job search on Migrate Mate to see employers with confirmed H-1B LCA filing history for data engineering roles, so you're applying to companies that have already demonstrated willingness and capacity to sponsor.
Clarify cloud infrastructure duties in your offer letter
AI Data Engineer job descriptions that mix data pipeline work with general IT support can weaken the specialty occupation argument. Ask your employer to draft your offer letter with specific references to ML pipeline architecture, distributed systems, or model deployment rather than broad IT maintenance language.
File for premium processing if your start date is tight
USCIS premium processing guarantees a decision within 15 business days. If your current OPT or grace period is expiring close to October 1, confirm with your employer whether they'll cover the fee to avoid a gap in authorized work status.
H-1B Visa AI Data Engineer: Frequently Asked Questions
Does an AI Data Engineer role qualify as a specialty occupation for H-1B purposes?
Yes, provided the job duties require at least a bachelor's degree in a directly related field such as computer science, data engineering, or a related quantitative discipline. USCIS evaluates the specific duties listed in the job description and the LCA, not just the job title. Roles that mix AI pipeline work with general IT support can face scrutiny, so the job description should clearly tie duties to a specialized body of theoretical and practical knowledge.
Which employers most commonly sponsor H-1B visas for AI Data Engineers?
Technology companies, financial services firms, healthcare analytics organizations, and large retail or logistics companies with in-house data platforms are consistent H-1B sponsors for AI Data Engineer roles. You can identify employers with confirmed LCA filing history for these roles on Migrate Mate, which filters for employers that have already filed for comparable positions rather than those that simply post open roles.
What SOC code is typically used for AI Data Engineer H-1B petitions?
Most employers file AI Data Engineer petitions under SOC 15-1242 (Database Architects) or 15-2051 (Data Scientists), depending on whether the role emphasizes infrastructure and pipeline design or modeling and analysis. The SOC code your employer selects affects the DOL prevailing wage level on the LCA, so it's worth reviewing the O*NET occupation profile for both codes to confirm which aligns with your actual job duties before the LCA is filed.
Can I change employers mid-year as an H-1B AI Data Engineer?
Yes. H-1B portability under AC21 lets you start working for a new employer as soon as the new I-129 petition is filed, as long as your previous H-1B was approved and you've been in valid H-1B status. Your new employer files a fresh I-129 with a new LCA certified for the new position and worksite. There's no need to wait for approval before starting, but both the LCA certification and petition filing must occur before your last day at the previous employer.
What happens if my H-1B lottery registration isn't selected as an AI Data Engineer?
If you're not selected in the annual H-1B lottery, you have several paths depending on your current status. Employers that qualify as cap-exempt, including universities and affiliated nonprofit research entities, can file outside the lottery. You may also explore O-1A classification if your work in AI or data engineering includes published research, patents, or recognized contributions. Some professionals extend OPT or change to another nonimmigrant status while waiting for the next registration window in March.