H-1B Visa AI Strategy Lead Jobs
AI Strategy Lead roles qualify for H-1B 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.
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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 64+ 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 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.
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Find AI Strategy Lead JobsAI Strategy Lead H-1B Visa: 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.
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