AI Specialist Jobs in USA with Visa Sponsorship
AI Specialist roles are among the most actively sponsored positions in the U.S. right now, with H-1B visa approval rates for software and AI-related occupations consistently above 85%. Employers across tech, finance, and healthcare are filing petitions year-round, and cap-exempt employers offer paths outside the lottery. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsKey Responsibilities:
AI Strategy & Solution Design:
- Lead end-to-end design and delivery of AI/ML solutions for manufacturing and ERP-integrated use cases including predictive maintenance, demand forecasting, quality control, and process automation.
- Architect and implement Generative AI solutions leveraging LLMs for intelligent document processing, chatbots, anomaly detection, and decision-support systems within ERP environments.
- Define AI use case roadmaps aligned to manufacturing business processes such as production planning (PP), materials management (MM), plant maintenance (PM), and sales & distribution (SD).
- Develop and validate ML models for structured data from ERP systems including SAP S/4HANA, ECC, leveraging Python-based frameworks (scikit-learn, TensorFlow, PyTorch, XGBoost).
- Integrate AI/ML outputs back into ERP workflows, dashboards, and reporting layers for real-time business impact.
AI Platform Architecture & ERP Integration:
- Design scalable AI/ML architectures on cloud platforms (Azure, AWS) with connectors to SAP ECC, SAP S/4HANA, and Snowflake for end-to-end data pipelines feeding AI models.
- Build and maintain feature engineering pipelines ingesting manufacturing data (IoT sensors, MES, SAP transactional data) for real-time and batch AI inference.
- Configure Retrieval-Augmented Generation (RAG) architectures, vector stores, and LLM API integrations to enable intelligent Q&A over enterprise ERP and manufacturing knowledge bases.
- Develop and maintain MLOps pipelines using tools such as MLflow, Azure ML, or SageMaker for model versioning, drift monitoring, and automated retraining.
AI Use Case Implementation & Delivery:
- Lead end-to-end implementation of Predictive Maintenance, Cost Planning, Manufacturing Analytics, Production Planning AI, and Rolling Forecast processes within SAC.
- Configure driver-based planning models, allocation rules, distribution & spreading logic, and advanced formula-based calculations.
- Set up Planning Calendars, workflows, task assignments, and review/approval cycles (Schedule phase).
- Enable Predict capabilities: configure automated time-series forecasting (predictive scenarios) and planning propositions using SAC built-in ML features.
- Support ACT vs. BUD variance analysis, asymmetric reporting, and management reporting dashboards.
Development & Technical Implementation:
- Develop AI-powered APIs and microservices using Python (FastAPI/Flask) and LangChain / RAG to expose ML model inference endpoints to ERP and manufacturing applications.
- Build Python-based ETL and feature engineering pipelines to transform raw SAP/ERP transactional data into AI-ready datasets stored in Snowflake or cloud data lakes.
- Create LangChain or similar GenAI orchestration workflows integrating LLMs with structured ERP data to power intelligent assistants and automated reporting tools.
- Perform data modeling and semantic layer design in SAP BW/4HANA or Snowflake to support AI feature stores and analytical use cases for manufacturing operations.
- Manage model governance, AI ethics guidelines, data access controls, and compliance requirements for AI deployments in regulated manufacturing environments.
Collaboration & Stakeholder Management:
- Partner with Manufacturing, Operations, Supply Chain, and IT stakeholders to gather AI use case requirements, run discovery workshops, and translate business needs into scalable AI solutions.
- Conduct model validation, UAT, end-user training, and knowledge transfer to plant managers, operations analysts, and SAP functional teams.
- Collaborate with SAP functional consultants (FI/CO, MM, PP, SD) and data engineering teams on AI integration governance and model deployment cycles.
- Prepare and present AI solution design documents, proof-of-concept demos, and business value assessments to senior stakeholders.
Base Salary Range: $140,000 to $170,000 Per Annum
TCS Employee Benefits Summary:
- Discretionary Annual Incentive.
- Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
- Family Support: Maternal & Parental Leaves.
- Insurance Options: Auto & Home Insurance, Identity Theft Protection.
- Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
- Time Off: Vacation, Time Off, Sick Leave & Holidays.
- Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Location
Alpharetta, GA
Job Function
TECHNOLOGY
Role
Senior Engineer
Job Id
410157
Desired Skills
Artificial intelligence
Salary Range
$140,000-$170,000 a year
Qualifications
BACHELOR OF COMPUTER SCIENCE
Key Responsibilities:
AI Strategy & Solution Design:
- Lead end-to-end design and delivery of AI/ML solutions for manufacturing and ERP-integrated use cases including predictive maintenance, demand forecasting, quality control, and process automation.
- Architect and implement Generative AI solutions leveraging LLMs for intelligent document processing, chatbots, anomaly detection, and decision-support systems within ERP environments.
- Define AI use case roadmaps aligned to manufacturing business processes such as production planning (PP), materials management (MM), plant maintenance (PM), and sales & distribution (SD).
- Develop and validate ML models for structured data from ERP systems including SAP S/4HANA, ECC, leveraging Python-based frameworks (scikit-learn, TensorFlow, PyTorch, XGBoost).
- Integrate AI/ML outputs back into ERP workflows, dashboards, and reporting layers for real-time business impact.
AI Platform Architecture & ERP Integration:
- Design scalable AI/ML architectures on cloud platforms (Azure, AWS) with connectors to SAP ECC, SAP S/4HANA, and Snowflake for end-to-end data pipelines feeding AI models.
- Build and maintain feature engineering pipelines ingesting manufacturing data (IoT sensors, MES, SAP transactional data) for real-time and batch AI inference.
- Configure Retrieval-Augmented Generation (RAG) architectures, vector stores, and LLM API integrations to enable intelligent Q&A over enterprise ERP and manufacturing knowledge bases.
- Develop and maintain MLOps pipelines using tools such as MLflow, Azure ML, or SageMaker for model versioning, drift monitoring, and automated retraining.
AI Use Case Implementation & Delivery:
- Lead end-to-end implementation of Predictive Maintenance, Cost Planning, Manufacturing Analytics, Production Planning AI, and Rolling Forecast processes within SAC.
- Configure driver-based planning models, allocation rules, distribution & spreading logic, and advanced formula-based calculations.
- Set up Planning Calendars, workflows, task assignments, and review/approval cycles (Schedule phase).
- Enable Predict capabilities: configure automated time-series forecasting (predictive scenarios) and planning propositions using SAC built-in ML features.
- Support ACT vs. BUD variance analysis, asymmetric reporting, and management reporting dashboards.
Development & Technical Implementation:
- Develop AI-powered APIs and microservices using Python (FastAPI/Flask) and LangChain / RAG to expose ML model inference endpoints to ERP and manufacturing applications.
- Build Python-based ETL and feature engineering pipelines to transform raw SAP/ERP transactional data into AI-ready datasets stored in Snowflake or cloud data lakes.
- Create LangChain or similar GenAI orchestration workflows integrating LLMs with structured ERP data to power intelligent assistants and automated reporting tools.
- Perform data modeling and semantic layer design in SAP BW/4HANA or Snowflake to support AI feature stores and analytical use cases for manufacturing operations.
- Manage model governance, AI ethics guidelines, data access controls, and compliance requirements for AI deployments in regulated manufacturing environments.
Collaboration & Stakeholder Management:
- Partner with Manufacturing, Operations, Supply Chain, and IT stakeholders to gather AI use case requirements, run discovery workshops, and translate business needs into scalable AI solutions.
- Conduct model validation, UAT, end-user training, and knowledge transfer to plant managers, operations analysts, and SAP functional teams.
- Collaborate with SAP functional consultants (FI/CO, MM, PP, SD) and data engineering teams on AI integration governance and model deployment cycles.
- Prepare and present AI solution design documents, proof-of-concept demos, and business value assessments to senior stakeholders.
Base Salary Range: $140,000 to $170,000 Per Annum
TCS Employee Benefits Summary:
- Discretionary Annual Incentive.
- Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
- Family Support: Maternal & Parental Leaves.
- Insurance Options: Auto & Home Insurance, Identity Theft Protection.
- Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
- Time Off: Vacation, Time Off, Sick Leave & Holidays.
- Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Location
Alpharetta, GA
Job Function
TECHNOLOGY
Role
Senior Engineer
Job Id
410157
Desired Skills
Artificial intelligence
Salary Range
$140,000-$170,000 a year
Qualifications
BACHELOR OF COMPUTER SCIENCE
See all 205+ AI Specialist jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Specialist roles.
Get Access To All JobsTips for Finding Visa Sponsorship as an AI Specialist
Frame your degree in a technical field
H-1B approval for AI Specialist roles hinges on specialty occupation status. A degree in computer science, statistics, mathematics, or electrical engineering maps cleanly to the role. Interdisciplinary degrees work but require stronger supporting documentation from your employer.
Target cap-exempt employers first
Universities, nonprofit research institutions, and government-affiliated labs can sponsor H-1B visas outside the annual lottery. For AI specialists, these include research labs at MIT, Stanford, and national laboratories, where demand for ML and AI talent is high year-round.
Highlight proprietary tools and model experience
USCIS scrutinizes whether AI Specialist roles genuinely require a degree. Petitions that detail work with specific frameworks like PyTorch, TensorFlow, or large language model architectures are far more defensible than generic descriptions of data analysis or automation tasks.
Don't overlook the O-1A visa pathway
If you've published research, won awards, or hold a senior position with demonstrated impact, the O-1A is worth exploring. It has no lottery, no annual cap, and AI researchers with conference publications or cited work often meet multiple qualifying criteria.
Prepare for employer RFE risk on job duty specificity
USCIS frequently issues Requests for Evidence on AI roles, questioning whether a degree is truly required. Employers should document the theoretical and applied knowledge the position demands, referencing peer-reviewed standards and internal technical specifications wherever possible.
Browse sponsoring employers before applying broadly
Not every company that posts AI roles will sponsor visas. Filtering for verified sponsoring employers on Migrate Mate before applying saves weeks of outreach to companies that will decline at the offer stage due to immigration policy constraints.
AI Specialist jobs are hiring across the US. Find yours.
Find AI Specialist JobsFrequently Asked Questions
What visa is most commonly used to sponsor AI Specialist roles in the U.S.?
The H-1B is the most common sponsorship path for AI Specialists, classifying the role as a specialty occupation requiring at least a bachelor's degree in a directly related field. USCIS approval rates for computer-related occupations, which cover most AI roles, have historically exceeded 85%. Australians also have access to the E-3 visa, which bypasses the H-1B lottery entirely.
Does my degree field matter for H-1B sponsorship as an AI Specialist?
Yes, and it matters more than most applicants expect. USCIS requires a direct relationship between your degree and the specific duties of the role. Computer science, statistics, applied mathematics, and data science degrees map cleanly. A business or humanities degree, even with extensive AI experience, makes the petition significantly harder to approve without supplemental evidence of equivalent education.
How competitive is the H-1B lottery for AI Specialist roles?
The lottery is the same for all cap-subject H-1B petitions regardless of job title, with a selection rate around 25% in recent years. However, AI Specialists hired by universities, nonprofit research organizations, or government-affiliated entities are cap-exempt and bypass the lottery entirely. Many AI professionals pursue these roles specifically to avoid lottery dependency.
Can I get sponsored as an AI Specialist without a traditional four-year degree?
It's possible but more complex. USCIS allows three years of specialized work experience to substitute for one year of formal education, meaning 12 years of directly relevant experience can satisfy a four-year degree requirement. In practice, this standard is difficult to meet for AI roles without documented, progressive technical responsibility. An immigration attorney should evaluate your specific profile before an employer files.
Where can I find AI Specialist jobs that are open to visa sponsorship?
Migrate Mate is built specifically for this, listing AI Specialist roles from employers who have actively sponsored work visas. Filtering by sponsorship status upfront means you're only seeing companies with a verified track record of filing H-1B or other work visa petitions, rather than discovering late in the process that a company doesn't sponsor international candidates.
What is the prevailing wage requirement for sponsored AI Specialist jobs?
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.
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