AI Strategy Lead Jobs in USA with Visa Sponsorship
AI Strategy Lead roles are actively sponsored under the H-1B visa, typically requiring a bachelor's degree or higher in computer science, data science, or a related field. Employers filing Labor Condition Applications for this title span consulting, tech, and enterprise sectors. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsLab Summary:
Samsung Research America (SRA) plays a pivotal role in developing the next generation of discovery in software, user experience and services for future products that can enrich the consumer's life. The Emerging Technology team at SRA is looking for dedicated individuals that who want to be at the forefront of AI technology exploration and innovation.
Position Summary:
We are seeking a visionary AI Strategy Leader to lead our organization's AI journey in 2026 and beyond. In this pivotal role, you will translate cutting-edge AI trends—such as agentic and multi-agent systems, advanced reasoning frameworks, embodied/physical AI, mechanistic interpretability, efficient small models, and AI-driven scientific discovery—into practical, high-ROI strategies that drive competitive advantage, operational excellence, and sustainable growth. You will serve as the bridge between emerging technology, business objectives, and responsible deployment, ensuring AI initiatives deliver measurable impact while mitigating risks. This is a strategic leadership position ideal for a T-shaped professional who combines deep AI fluency with business acumen and change-management expertise.
The ET team's contribution to the fundamental research being done at Samsung Research America includes developing business cases and product roadmaps, sourcing and building key industry partnerships, driving proof of concept development, detailing competitive analysis and industry models. Our thought leadership is anchored by detailed diligence and robust data analytics. The team works across all labs at Samsung Research America including advanced research in mobile, computer vision, artificial intelligence, 6G and next generation communications, digital health etc. Our team monitors and advocates for Samsung's investments in efficient models; multimodal AI, agentic security, agentic systems, physical AI, AI ethics and governance.
Position Responsibilities:
- Create and maintain a multi-year AI roadmap aligned with business goals across consumer electronics, B2B services, health tech and internal operations
- Identifying high-value use cases across functions (e.g., agentic orchestration and automation workflows, embodied/physical AI, efficient small models, inference-time scaling, or advanced reasoning for decision support) and make clear, evidence-based recommendations on what to pursue, defer, or ignore
- Build compelling business cases for high-ROI AI initiatives: identify the opportunity, quantify the value, define success metrics, and secure executive sponsorship
- Translate strategy into action by working with product, engineering, and data science teams to integrate AI into core workflows and products
- Conduct structured pilots and proof-of-concepts; define clear go/no-go criteria and graduation paths from POC to enterprise deployment
- Evaluate and negotiate with external AI vendors, platforms, and research partners to accelerate Samsung's capabilities
- Stay at the forefront of AI research and market developments; evaluate emerging technologies for relevance and feasibility
- Proactively develop governance frameworks that allow Samsung to move fast without creating unacceptable safety, legal, or reputational risk
- Champion responsible AI practices, including bias mitigation, interpretability, regulatory compliance, data privacy, and environmental sustainability
- Serve as a translator: make complex AI concepts accessible to non-technical executives and make business priorities concrete for technical teams
- Mentor internal teams and help establish a culture where AI adoption is the default, not the exception; facilitate workshops and translate technical concepts into actionable business language
What Success Looks Like
30 Days: Complete an AI maturity assessment. Identify 3–5 near-term quick-win opportunities and begin building relationships across key business units.
90 Days: Deliver a draft 12-month AI roadmap with prioritized initiatives, resource requirements, and success metrics. Present to C-suite with exec alignment.
12 Months: At least two AI initiatives moved from pilot to scaled deployment with documented ROI.
Required Skills:
- Master's degree in Computer Science, Data Science, Business Administration, Engineering, or a related field or equivalent combination of education, training and experience
- 7+ years in AI strategy, digital transformation, technology consulting, or related roles, with proven success leading AI initiatives from strategy to measurable deployment
- Demonstrated experience in at least two of the following: agentic systems, advanced reasoning techniques, multimodal/physical AI, or AI governance at enterprise scale
- Strong AI/ML fluency — you can evaluate architectures, assess research, and challenge technical assumptions without writing production code yourself
- Strong understanding of AI/ML concepts, architectures (e.g., transformers, RLVR), tools, and trends without needing to code production models. Hands-on prototyping experience is a plus
- Exceptional at gap analysis, competitive intelligence, roadmap prioritization, and building data-driven business cases
- Proven ability to influence executives, facilitate cross-functional teams, and present complex ideas clearly to non-technical audiences
- Deep knowledge of AI safety, interpretability, bias mitigation, and regulatory landscapes
- Highly curious, adaptable, systems-oriented, and results-driven; thrives in ambiguity and fast-paced environments
Special Attributes:
- Familiarity with AI evaluation frameworks, synthetic data, context engineering, or physical AI/robotics integration
- Background in top-tier consulting (e.g., McKinsey, BCG, Accenture) or scaling AI at a tech-forward company
- Familiarity with the product ecosystem of Samsung Electronics
Additional Information
Disclosure of Trade Secrets
Samsung has a strict policy on trade secrets. In applying to Samsung and progressing through the recruitment process, you must not disclose any trade secrets of a current or previous employer.
Essential Job Functions
This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, and frequently operate standard office equipment, such as telephones and computers.
Samsung Research America is committed to complying with all Federal, State and local laws related to the employment of qualified individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact the recruiter or email sratalent@samsung.com.
Equal Employment Opportunity
At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities.
Samsung Research America is committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.
For more information regarding protection from discrimination under Federal law for applicants and employees, please refer to this link: Pay Transparency
Lab Summary:
Samsung Research America (SRA) plays a pivotal role in developing the next generation of discovery in software, user experience and services for future products that can enrich the consumer's life. The Emerging Technology team at SRA is looking for dedicated individuals that who want to be at the forefront of AI technology exploration and innovation.
Position Summary:
We are seeking a visionary AI Strategy Leader to lead our organization's AI journey in 2026 and beyond. In this pivotal role, you will translate cutting-edge AI trends—such as agentic and multi-agent systems, advanced reasoning frameworks, embodied/physical AI, mechanistic interpretability, efficient small models, and AI-driven scientific discovery—into practical, high-ROI strategies that drive competitive advantage, operational excellence, and sustainable growth. You will serve as the bridge between emerging technology, business objectives, and responsible deployment, ensuring AI initiatives deliver measurable impact while mitigating risks. This is a strategic leadership position ideal for a T-shaped professional who combines deep AI fluency with business acumen and change-management expertise.
The ET team's contribution to the fundamental research being done at Samsung Research America includes developing business cases and product roadmaps, sourcing and building key industry partnerships, driving proof of concept development, detailing competitive analysis and industry models. Our thought leadership is anchored by detailed diligence and robust data analytics. The team works across all labs at Samsung Research America including advanced research in mobile, computer vision, artificial intelligence, 6G and next generation communications, digital health etc. Our team monitors and advocates for Samsung's investments in efficient models; multimodal AI, agentic security, agentic systems, physical AI, AI ethics and governance.
Position Responsibilities:
- Create and maintain a multi-year AI roadmap aligned with business goals across consumer electronics, B2B services, health tech and internal operations
- Identifying high-value use cases across functions (e.g., agentic orchestration and automation workflows, embodied/physical AI, efficient small models, inference-time scaling, or advanced reasoning for decision support) and make clear, evidence-based recommendations on what to pursue, defer, or ignore
- Build compelling business cases for high-ROI AI initiatives: identify the opportunity, quantify the value, define success metrics, and secure executive sponsorship
- Translate strategy into action by working with product, engineering, and data science teams to integrate AI into core workflows and products
- Conduct structured pilots and proof-of-concepts; define clear go/no-go criteria and graduation paths from POC to enterprise deployment
- Evaluate and negotiate with external AI vendors, platforms, and research partners to accelerate Samsung's capabilities
- Stay at the forefront of AI research and market developments; evaluate emerging technologies for relevance and feasibility
- Proactively develop governance frameworks that allow Samsung to move fast without creating unacceptable safety, legal, or reputational risk
- Champion responsible AI practices, including bias mitigation, interpretability, regulatory compliance, data privacy, and environmental sustainability
- Serve as a translator: make complex AI concepts accessible to non-technical executives and make business priorities concrete for technical teams
- Mentor internal teams and help establish a culture where AI adoption is the default, not the exception; facilitate workshops and translate technical concepts into actionable business language
What Success Looks Like
30 Days: Complete an AI maturity assessment. Identify 3–5 near-term quick-win opportunities and begin building relationships across key business units.
90 Days: Deliver a draft 12-month AI roadmap with prioritized initiatives, resource requirements, and success metrics. Present to C-suite with exec alignment.
12 Months: At least two AI initiatives moved from pilot to scaled deployment with documented ROI.
Required Skills:
- Master's degree in Computer Science, Data Science, Business Administration, Engineering, or a related field or equivalent combination of education, training and experience
- 7+ years in AI strategy, digital transformation, technology consulting, or related roles, with proven success leading AI initiatives from strategy to measurable deployment
- Demonstrated experience in at least two of the following: agentic systems, advanced reasoning techniques, multimodal/physical AI, or AI governance at enterprise scale
- Strong AI/ML fluency — you can evaluate architectures, assess research, and challenge technical assumptions without writing production code yourself
- Strong understanding of AI/ML concepts, architectures (e.g., transformers, RLVR), tools, and trends without needing to code production models. Hands-on prototyping experience is a plus
- Exceptional at gap analysis, competitive intelligence, roadmap prioritization, and building data-driven business cases
- Proven ability to influence executives, facilitate cross-functional teams, and present complex ideas clearly to non-technical audiences
- Deep knowledge of AI safety, interpretability, bias mitigation, and regulatory landscapes
- Highly curious, adaptable, systems-oriented, and results-driven; thrives in ambiguity and fast-paced environments
Special Attributes:
- Familiarity with AI evaluation frameworks, synthetic data, context engineering, or physical AI/robotics integration
- Background in top-tier consulting (e.g., McKinsey, BCG, Accenture) or scaling AI at a tech-forward company
- Familiarity with the product ecosystem of Samsung Electronics
Additional Information
Disclosure of Trade Secrets
Samsung has a strict policy on trade secrets. In applying to Samsung and progressing through the recruitment process, you must not disclose any trade secrets of a current or previous employer.
Essential Job Functions
This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, and frequently operate standard office equipment, such as telephones and computers.
Samsung Research America is committed to complying with all Federal, State and local laws related to the employment of qualified individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact the recruiter or email sratalent@samsung.com.
Equal Employment Opportunity
At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities.
Samsung Research America is committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.
For more information regarding protection from discrimination under Federal law for applicants and employees, please refer to this link: Pay Transparency
See all 103+ AI Strategy Lead jobs
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Get Access To All JobsTips for Finding AI Strategy Lead Jobs
Frame your degree field precisely
USCIS scrutinizes whether your degree directly supports the role. A degree in computer science, data science, or management information systems ties cleanly to AI strategy work. A general business degree alone may trigger a Request for Evidence.
Quantify AI impact in your application materials
Sponsoring employers need to justify the specialty occupation standard to USCIS. Concrete outcomes, such as revenue influenced by AI initiatives or models deployed at scale, strengthen the employer's petition and reduce the risk of scrutiny.
Target employers with a proven H-1B filing history
Not every company that posts an AI Strategy Lead role has experience navigating H-1B sponsorship. Prioritize employers whose DOL Labor Condition Application filings show consistent sponsorship for strategy and technology leadership roles.
Distinguish strategy from pure research in your resume
AI Strategy Lead is a hybrid role. USCIS approvals favor applicants who clearly demonstrate applied business application of AI, not just research. Emphasize cross-functional leadership, product integration, and enterprise implementation alongside technical credentials.
Understand where you sit in the H-1B lottery timeline
If you need cap-subject H-1B sponsorship, registration opens in March for an October 1 start. Roles at universities or nonprofits are cap-exempt, allowing year-round filing. Know which category your target employer falls into before accepting an offer.
Consider O-1A as a parallel path
AI strategy professionals with published work, speaking engagements, or demonstrable industry recognition may qualify for the O-1A visa for extraordinary ability. This bypasses the H-1B lottery entirely and is worth exploring before each registration cycle closes.
AI Strategy Lead jobs are hiring across the US. Find yours.
Find AI Strategy Lead JobsFrequently Asked Questions
Is an AI Strategy Lead role considered a specialty occupation for H-1B purposes?
Generally yes, provided the employer can document that the position requires a bachelor's degree or higher in a specific technical or analytical field. USCIS expects the degree requirement to be standard across the industry for this type of role. If the job description accepts any degree field or treats a degree as preferred rather than required, it weakens the specialty occupation argument and raises the likelihood of a Request for Evidence.
What degree fields are most commonly accepted for AI Strategy Lead sponsorship?
Computer science, data science, artificial intelligence, management information systems, and applied mathematics are the most defensible fields. Some employers also accept engineering or statistics degrees depending on the role's technical depth. A general MBA without an underlying technical degree creates more risk, as USCIS may question whether the specific degree field is truly required for the position's core duties.
How competitive is H-1B sponsorship for AI strategy roles compared to pure engineering roles?
The H-1B lottery treats all cap-subject petitions equally regardless of job title, so selection odds are the same. The difference is in post-selection approval rates. Strategy roles face slightly more scrutiny than pure engineering roles because the specialty occupation standard is easier to establish for narrowly defined technical work. Strong job descriptions and degree alignment reduce this risk significantly.
Can work experience substitute for a formal degree when applying for AI Strategy Lead roles that offer sponsorship?
Under H-1B rules, three years of specialized work experience can substitute for one year of formal education, meaning 12 years of relevant experience can replace a four-year degree entirely. However, employers sponsoring this specific role may still require a formal degree as a company policy. Confirm the employer's internal requirements separately from the USCIS substitution rules before assuming experience will satisfy both.
Where can I find AI Strategy Lead jobs that offer visa sponsorship?
Migrate Mate curates visa-sponsoring employers and filters roles by sponsorship willingness, which removes the guesswork of identifying which companies will support your application. AI Strategy Lead roles appear across enterprise technology, management consulting, and financial services sectors on the platform. Browsing by role type on Migrate Mate lets you focus your outreach on employers already familiar with the H-1B process for senior strategy positions.
What is the prevailing wage requirement for sponsored AI Strategy Lead 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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