H-1B Visa AI Specialist Jobs
AI Specialist roles qualify as H-1B specialty occupations under the computer occupations category, requiring at least a bachelor's degree in computer science, artificial intelligence, or a directly related field. Employers filing H-1B petitions for these roles must certify a prevailing wage through a DOL Labor Condition Application before USCIS can approve your petition.
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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 174+ AI Specialist jobs
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Get Access To All JobsTips for Finding H-1B Visa Sponsorship as an AI Specialist
Align your degree field to the role
USCIS scrutinizes whether your degree directly relates to AI Specialist duties. A degree in computer science or machine learning aligns cleanly. A business or general STEM degree needs supporting coursework transcripts or a credential evaluation to survive an RFE.
Check the prevailing wage before negotiating
Your employer's LCA must certify a wage at or above the DOL prevailing wage for your specific SOC code and work location. Use the OFLC Wage Search to verify the Level I through Level IV wage tiers before you accept an offer.
Target employers with cap-exempt affiliations
AI research roles at universities, nonprofit research institutions, and government-affiliated labs are cap-exempt, meaning your employer can file your H-1B petition outside the annual lottery window at any time of year.
Search LCA filing history on Migrate Mate
Before applying, verify that a company has actually filed H-1B Labor Condition Applications for AI roles. Migrate Mate surfaces DOL LCA filing history by employer and occupation code so you can confirm sponsorship history before reaching the offer stage.
Document your AI specialization precisely
USCIS O*NET classifies AI Specialist duties at Job Zone 4 and above. Your resume and the employer's support letter must map your specific tasks, such as training large language models or designing neural network architectures, to those defined specialty occupation duties.
File premium processing if your start date is fixed
If your employment start date is tied to a project deadline or OPT expiration, ask your employer to file premium processing with Form I-907. USCIS guarantees a decision within 15 business days, reducing the risk of a gap in work authorization.
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Find AI Specialist JobsAI Specialist H-1B Visa: Frequently Asked Questions
Does an AI Specialist role qualify as an H-1B specialty occupation?
Yes. USCIS classifies AI Specialist positions under computer occupations, which consistently meet the specialty occupation standard because the role normally requires at least a bachelor's degree in computer science, data science, artificial intelligence, or a closely related field. If your job description includes tasks like model development, algorithm design, or ML pipeline engineering, the specialty occupation requirement is typically straightforward to satisfy.
Which employers sponsor H-1B visas for AI Specialist roles?
Technology companies, financial institutions running quantitative or risk modeling teams, healthcare systems building clinical AI tools, and defense contractors with AI research divisions are among the most active H-1B sponsors for these roles. Migrate Mate filters employers by DOL Labor Condition Application filing history, so you can identify companies that have sponsored AI Specialist positions rather than relying on job postings alone.
What happens to my H-1B status if I change AI Specialist roles mid-petition?
If you change employers after your H-1B petition is filed but before October 1, your new employer must file a fresh cap-subject petition in the next lottery cycle unless you already have an approved H-1B from a prior year. If you're transferring to a new employer after your H-1B is already active, your new employer files an H-1B transfer petition and you can start work as soon as USCIS receives it, under the portability provisions of AC21.
Can a startup sponsor my H-1B as an AI Specialist?
Yes, but startups face additional scrutiny. USCIS may issue an RFE questioning whether the company has enough complexity to require a specialty occupation hire, or whether an employer-employee relationship exists if you have equity or a board seat. Your employer's support letter should clearly define your supervised role, your reporting structure, and the specific AI projects requiring your degree-level expertise.
How does the H-1B lottery affect AI Specialist job searches?
The annual H-1B cap covers most private-sector AI Specialist roles, with registrations submitted in March and selections made before April 1 for an October 1 start date. If you're not selected, cap-exempt options include roles at qualifying nonprofit research organizations, universities, or government research facilities. F-1 OPT or STEM OPT authorization can bridge the gap while you wait for the next lottery cycle.
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