H-1B Visa AI Solution Architect Jobs
AI Solution Architect roles qualify as H-1B visa specialty occupations under the computer architecture and systems design SOC codes. Employers filing LCAs for this title must meet DOL prevailing wage requirements, and most actively sponsor H-1B transfers. The 85,000-slot annual cap and lottery apply unless your employer holds cap-exempt status.
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At Teradata, we believe that people thrive when empowered with better information. Teradata Autonomous Knowledge Platform activates enterprise intelligence by unifying data, knowledge and business context to achieve tangible outcomes. With Teradata, organizations can provide agents with full context for impact when it matters. Our solution lets businesses connect and scale on premises, in the cloud, or through a hybrid approach. Teradata delivers real business value with AI.
What You’ll Do
We are looking for a Senior Manager – AI Platform to lead the development and evolution of our next-generation platform powering autonomous, AI-driven agents. This role is ideal for a leader who combines data science expertise and technical depth, agentic platform thinking, and strategic execution to scale a distributed system that enables reasoning, planning, memory, and tool use at runtime.
As the Senior Manager, you will be responsible for driving product and data science strategy, overseeing a multidisciplinary team of engineers and data scientists, collaborating with AI/ML research and product teams, and ensuring that the AI Platform is performant, extensible, and production-ready.
Job Responsibilities:
- Lead the engineering and data science roadmap for the AI Platform, ensuring architectural scalability, reliability, and seamless integration with LLMs, data science pipelines.
- Partner with product, data science, research, and engineering teams to define requirements for capabilities such as predictive modeling, memory, planning, multi-agent collaboration, and tool orchestration.
- Drive the design and implementation of core platform services including API gateways, vector store integrations, RAG pipelines, and data science experimentation frameworks.
- Oversee integrations with third-party tools, internal data science services, and infrastructure platforms to enable real-world agent execution and model deployment at scale.
- Guide the team in applying best practices in cloud-native development, distributed computing, observability, and security.
- Manage, mentor, and grow a high-performing team of backend engineers, data scientists, and AI platform specialists.
- Ensure alignment between platform capabilities and evolving needs from AI product lines and downstream applications.
- Drive technical excellence through code and design reviews, system reliability practices, and collaboration across engineering functions.
- Contribute to the long-term vision and strategy of how agentic workflows, powered by data science and machine learning, will operate at scale across the organization.
What makes you a qualified candidate
- 12+ years of experience in software/platform engineering or data science, with 3+ years in engineering management or technical leadership roles overseeing AI-driven initiatives.
- Proven experience building and scaling distributed systems or cloud platforms in production environments.
- Strong technical background in backend development, APIs, infrastructure, or platform architecture.
- Hands-on experience with AI/ML platforms, LLM integrations, and demonstrated background in data science methodologies including model development, evaluation, and deployment.
- Proven experience working with vector databases, semantic search, feature stores, and end-to-end data science pipelines in production environments.
- Strong project management skills, with a track record of delivering large cross-functional initiatives.
- Excellent communication and collaboration skills, with the ability to work closely with executive stakeholders, researchers, and engineers.
- Passion for building platforms that enable intelligent, autonomous behavior at scale.
What you'll bring
- A strong track record of leading platform engineering and data science teams that build scalable, reliable systems supporting internal and external developers or AI/ML workloads.
- Deep understanding of software architecture, distributed systems, and cloud-native infrastructure — with the ability to make strategic technical decisions.
- Experience working at the intersection of AI, data science, and engineering, ideally supporting LLM-based products, AI agents, or data science platforms that deliver measurable business value.
- A pragmatic approach to balancing technical depth with delivery speed, especially in fast-paced, R&D-heavy environments.
- Demonstrated ability to hire, mentor, and retain high-performing engineers while fostering a culture of ownership, experimentation, and accountability.
- Strong cross-functional collaboration skills — able to partner effectively with product managers, researchers, infrastructure teams, and executive stakeholders.
- Curiosity and drive to push the boundaries of autonomous, data-science-powered software, and a clear vision for how data science and agentic AI systems will shape the next generation of enterprise applications.
- Excellent written and verbal communication skills, with the ability to articulate complex ideas clearly to technical and non-technical audiences.
Why We Think You'll Love Teradata
We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are.
Our company
At Teradata, we believe that people thrive when empowered with better information. Teradata Autonomous Knowledge Platform activates enterprise intelligence by unifying data, knowledge and business context to achieve tangible outcomes. With Teradata, organizations can provide agents with full context for impact when it matters. Our solution lets businesses connect and scale on premises, in the cloud, or through a hybrid approach. Teradata delivers real business value with AI.
What You’ll Do
We are looking for a Senior Manager – AI Platform to lead the development and evolution of our next-generation platform powering autonomous, AI-driven agents. This role is ideal for a leader who combines data science expertise and technical depth, agentic platform thinking, and strategic execution to scale a distributed system that enables reasoning, planning, memory, and tool use at runtime.
As the Senior Manager, you will be responsible for driving product and data science strategy, overseeing a multidisciplinary team of engineers and data scientists, collaborating with AI/ML research and product teams, and ensuring that the AI Platform is performant, extensible, and production-ready.
Job Responsibilities:
- Lead the engineering and data science roadmap for the AI Platform, ensuring architectural scalability, reliability, and seamless integration with LLMs, data science pipelines.
- Partner with product, data science, research, and engineering teams to define requirements for capabilities such as predictive modeling, memory, planning, multi-agent collaboration, and tool orchestration.
- Drive the design and implementation of core platform services including API gateways, vector store integrations, RAG pipelines, and data science experimentation frameworks.
- Oversee integrations with third-party tools, internal data science services, and infrastructure platforms to enable real-world agent execution and model deployment at scale.
- Guide the team in applying best practices in cloud-native development, distributed computing, observability, and security.
- Manage, mentor, and grow a high-performing team of backend engineers, data scientists, and AI platform specialists.
- Ensure alignment between platform capabilities and evolving needs from AI product lines and downstream applications.
- Drive technical excellence through code and design reviews, system reliability practices, and collaboration across engineering functions.
- Contribute to the long-term vision and strategy of how agentic workflows, powered by data science and machine learning, will operate at scale across the organization.
What makes you a qualified candidate
- 12+ years of experience in software/platform engineering or data science, with 3+ years in engineering management or technical leadership roles overseeing AI-driven initiatives.
- Proven experience building and scaling distributed systems or cloud platforms in production environments.
- Strong technical background in backend development, APIs, infrastructure, or platform architecture.
- Hands-on experience with AI/ML platforms, LLM integrations, and demonstrated background in data science methodologies including model development, evaluation, and deployment.
- Proven experience working with vector databases, semantic search, feature stores, and end-to-end data science pipelines in production environments.
- Strong project management skills, with a track record of delivering large cross-functional initiatives.
- Excellent communication and collaboration skills, with the ability to work closely with executive stakeholders, researchers, and engineers.
- Passion for building platforms that enable intelligent, autonomous behavior at scale.
What you'll bring
- A strong track record of leading platform engineering and data science teams that build scalable, reliable systems supporting internal and external developers or AI/ML workloads.
- Deep understanding of software architecture, distributed systems, and cloud-native infrastructure — with the ability to make strategic technical decisions.
- Experience working at the intersection of AI, data science, and engineering, ideally supporting LLM-based products, AI agents, or data science platforms that deliver measurable business value.
- A pragmatic approach to balancing technical depth with delivery speed, especially in fast-paced, R&D-heavy environments.
- Demonstrated ability to hire, mentor, and retain high-performing engineers while fostering a culture of ownership, experimentation, and accountability.
- Strong cross-functional collaboration skills — able to partner effectively with product managers, researchers, infrastructure teams, and executive stakeholders.
- Curiosity and drive to push the boundaries of autonomous, data-science-powered software, and a clear vision for how data science and agentic AI systems will shape the next generation of enterprise applications.
- Excellent written and verbal communication skills, with the ability to articulate complex ideas clearly to technical and non-technical audiences.
Why We Think You'll Love Teradata
We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are.
See all 968+ H-1B Visa AI Solution Architect Jobs
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Get Access To All JobsTips for Finding H-1B Visa Sponsorship in AI Solution Architect
Map your role to the right SOC code
AI Solution Architects often get filed under multiple SOC codes depending on whether the role skews toward software development or systems architecture. Confirm with your employer which code they plan to use before the LCA is filed, as it determines your prevailing wage level.
Verify your employer's E-Verify enrollment early
USCIS requires all H-1B petitioning employers to be E-Verify enrolled. Some smaller AI consultancies and startups are not. Confirm enrollment before you invest time in an offer process so you don't face a last-minute filing block.
Use Migrate Mate to find verified H-1B sponsors
Search Migrate Mate to identify employers with active LCA filing history for AI and solution architecture roles. Filtering by DOL filing data surfaces companies that have actually sponsored this job title, not just listed it as a possibility.
Document the specialty occupation connection in your offer letter
USCIS scrutinizes AI roles because job duties vary widely across employers. Ask hiring managers to specify degree requirements and technical responsibilities in writing so your I-129 petition clearly demonstrates the role requires a bachelor's degree in a directly related field.
Check prevailing wage levels using OFLC Wage Search
Your employer must certify on the LCA that your offered salary meets the DOL prevailing wage for your SOC code and work location. Run the OFLC Wage Search yourself before negotiating so you know the minimum level before the offer is finalized.
Understand the 60-day portability window if you're transferring
If you're moving from another H-1B employer, your new employer must file a transfer petition before your current employment ends. You can start working for the new employer once the petition is received by USCIS, not after approval.
H-1B Visa AI Solution Architect: Frequently Asked Questions
Does an AI Solution Architect role qualify as a specialty occupation for H-1B purposes?
Yes, provided the position requires a bachelor's degree or higher in a specific technical field such as computer science, electrical engineering, or information systems. Roles that accept any degree, or frame the degree as preferred rather than required, can face an RFE from USCIS. The job description and offer letter need to spell out the direct degree-to-role connection explicitly.
Which employers typically sponsor H-1B visas for AI Solution Architect positions?
Employers with active LCA filings for AI and architecture-related SOC codes include large technology companies, cloud platform providers, and enterprise software consultancies. You can filter for employers with verified H-1B filing history for this title on Migrate Mate, which pulls directly from DOL Labor Condition Application data rather than self-reported sponsorship claims.
How does the H-1B cap affect my timeline as an AI Solution Architect?
Most private-sector employers are subject to the 85,000-slot annual cap, which includes 20,000 slots reserved for U.S. master's degree holders. USCIS runs the lottery in March for petitions that take effect October 1. If you're not selected, cap-exempt employers such as universities and certain nonprofit research institutions can file outside the lottery cycle.
Can I transfer my H-1B to a new employer if I change AI Solution Architect roles?
Yes. H-1B portability lets you start working for a new employer as soon as they file a transfer petition, as long as you're in a valid period of authorized stay and the petition is non-frivolous. You don't need to wait for approval. Your new employer files a fresh I-129 with a new LCA certified for the new position, location, and wage level.
What happens if my AI Solution Architect role is reclassified or my duties change significantly?
Material changes to your job title, duties, salary, or work location can require your employer to file an amended H-1B petition with USCIS before the change takes effect. A shift from solution architecture to a management-only role, for example, could affect the specialty occupation determination. Your employer's immigration counsel should review any significant job changes before they're implemented.