H-1B Visa AI Strategy Lead Jobs
AI Strategy Lead roles qualify for H-1B visa sponsorship as specialty occupations requiring a bachelor's degree or higher in computer science, data science, or a related field. Employers filing for this title typically use SOC codes tied to computer and information systems management, which affects prevailing wage tier and LCA requirements.
Find H-1B Visa AI Strategy Lead JobsOverview
Showing 5 of 1,045+ AI Strategy Lead jobs
See all 1,045+ AI Strategy Lead Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Strategy Lead roles.
Get Access To All JobsOur 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.
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 1,045+ H-1B Visa AI Strategy Lead Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa AI Strategy Lead Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship in AI Strategy Lead
Match your credentials to the SOC code
AI Strategy Lead positions are often filed under computer and information systems manager SOC codes. Check O*NET to confirm the job zone and typical degree requirements before your interview so your credentials map cleanly to what USCIS expects.
Target employers with cap-exempt sponsorship history
Universities, nonprofit research institutions, and affiliated entities are cap-exempt H-1B filers. AI Strategy roles at these organizations let you bypass the lottery entirely, which matters if you're already on your third or fourth registration cycle.
Use Migrate Mate to filter verified sponsors
Pull up Migrate Mate's employer search and filter for companies with active H-1B LCA filings in AI or strategy management roles. This cuts through job postings that don't disclose sponsorship intent upfront.
Clarify the LCA wage tier before accepting an offer
AI Strategy Lead titles often land at DOL wage Level III or IV. Ask your prospective employer which wage level their LCA will certify at, then cross-check it against the OFLC Wage Search for your metro area before signing.
Document your strategic deliverables for the RFE shelf
USCIS increasingly issues RFEs on management-adjacent AI roles, questioning whether the position truly requires a specialty degree. Prepare a paper trail of product roadmaps, board-level strategy decks, or P&L ownership that anchors the role to your technical degree field.
Time your transfer to avoid the 60-day gap
If you're moving from another H-1B employer, your new company must file a transfer petition before your last day of employment. A gap between jobs exceeding 60 days puts you out of status, so negotiate your start date around USCIS receipt, not approval.
H-1B Visa AI Strategy Lead: Frequently Asked Questions
Does an AI Strategy Lead 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 or analytical field such as computer science, data science, or engineering. The key is that the degree must be directly related to the duties, not just a general requirement. Roles where a business or liberal arts degree is accepted alongside technical degrees can face USCIS scrutiny on specialty occupation grounds, so the job description should be tightly scoped to technical AI work.
Which employers are most likely to sponsor H-1B visas for AI Strategy Lead positions?
Technology companies, management consulting firms with dedicated AI practices, and enterprise software vendors tend to have the strongest H-1B sponsorship infrastructure for AI strategy roles. Cap-exempt employers such as universities and nonprofit research labs are also strong options because they can file outside the annual lottery. You can identify employers with verified LCA filing history for AI and strategy management roles directly through Migrate Mate.
How does the H-1B prevailing wage requirement apply to AI Strategy Lead titles?
DOL requires your employer to pay at least the prevailing wage for your occupation and work location, determined by the LCA they file. AI Strategy Lead titles typically map to higher wage levels, often Level III or IV, because the role involves significant judgment and leadership. You can verify the applicable wage for your metro area using the OFLC Wage Search before accepting an offer to confirm the employer's LCA matches market rates.
Can I switch employers mid-H-1B if I get a better AI Strategy Lead offer?
Yes. Under H-1B portability rules, you can begin working for a new employer as soon as they file a transfer petition, without waiting for approval, as long as your current H-1B is valid and you've maintained status. The new employer must file before your employment ends. A gap longer than 60 days after your last day puts your status at risk, so coordinate timelines carefully between both employers.
What should I look for in an H-1B sponsor's filing history for AI roles?
Look for employers who have filed LCAs specifically in AI, machine learning, or technology strategy job categories, not just general management titles. Consistent annual filings indicate an established immigration program with in-house or retained legal counsel, which reduces processing errors. Employers who have filed successfully for roles at your seniority level are also less likely to undershoot your wage level on the LCA, which protects your status.