H-1B Visa AI Developer Jobs
AI Developer roles qualify as H-1B visa specialty occupations under the computer occupations SOC codes, meaning your employer files the LCA with DOL before USCIS reviews the petition. Most AI Developer positions fall outside the cap-exempt category, so timing your job search around the April filing window matters.
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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 1,237+ H-1B Visa AI Developer Jobs
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Get Access To All JobsTips for Finding H-1B Visa Sponsorship as an AI Developer
Map your SOC code before applying
AI Developer roles map to multiple SOC codes depending on whether your work is classified as software development or machine learning research. Pull the O*NET profile for your target title to confirm the code your employer will use on the LCA, since mismatches trigger RFEs.
Verify prevailing wage before salary negotiations
Run your job title, location, and SOC code through the OFLC Wage Search before accepting an offer. The LCA wage must meet or exceed the prevailing wage for your level, and employers can't legally adjust it downward once filed.
Target employers with cap-exempt filing history
Universities, nonprofit research organizations, and government-affiliated entities are cap-exempt, letting them file H-1B petitions year-round. AI research divisions at these institutions hire developers regularly and bypass the annual lottery entirely.
Search H-1B filing history on Migrate Mate
Filter AI Developer roles on Migrate Mate by employers who have filed H-1B LCAs in your specific occupation code. This removes guesswork about sponsorship willingness and surfaces companies with active filing patterns for your exact role type.
Prepare your degree equivalency documentation early
USCIS scrutinizes AI Developer petitions where the degree field doesn't directly match the role. If your degree is in mathematics or physics rather than computer science, get a credential evaluation and collect employer documentation showing the degree is sufficient for the position.
Confirm your employer is E-Verify enrolled before your start date
If you're transitioning from F-1 OPT to H-1B, your employer must be E-Verify enrolled for STEM OPT and must remain enrolled through your cap-gap period. Confirm enrollment status during the offer stage, not after you've already submitted your I-20 extension request.
H-1B Visa AI Developer: Frequently Asked Questions
Does an AI Developer role qualify as an H-1B specialty occupation?
Yes. AI Developer positions typically qualify because they require at least a bachelor's degree in computer science, artificial intelligence, or a directly related field. USCIS evaluates specialty occupation on a case-by-case basis, so your employer's job description must clearly tie the degree requirement to the specific duties of the role, not just list it as preferred.
How do I find employers who actively sponsor H-1B visas for AI Developer roles?
Search Migrate Mate for AI Developer positions filtered by employers with verified H-1B LCA filing history in your occupation code. This surfaces companies that have already filed for similar roles, so you're not relying on unverified employer claims about sponsorship willingness during the interview process.
Can I switch AI Developer jobs while on H-1B status?
Yes, under AC21 portability you can change employers after your I-140 has been approved and your H-1B has been pending for 180 days or more, as long as the new role is in the same or similar occupational classification. For most AI Developer moves between employers, your new employer files an H-1B transfer petition and you can start work once USCIS receives it.
What happens to my H-1B status if my AI Developer role is reclassified as a research position?
If your duties shift significantly toward research, your employer may need to file an amended H-1B petition with USCIS reflecting the updated SOC code and job description. A change in duties that affects the specialty occupation classification or prevailing wage level requires an amendment before the change takes effect, not after. Confirm with your employer's immigration contact when a role change is being discussed.
How does the H-1B lottery affect my timeline for starting an AI Developer job?
For cap-subject positions, your employer must submit your registration during the March lottery window, and the earliest an approved H-1B can take effect is October 1 of that fiscal year. If you're on OPT when selected, your cap-gap authorization covers the gap between OPT expiration and October 1, letting you continue working for the same employer without interruption. Roles at cap-exempt institutions have no lottery and no October 1 start constraint.