H-1B1 Singapore Visa Applied AI Engineer Jobs
Applied AI Engineer roles qualify for H-1B1 Singapore visa sponsorship as specialty occupations requiring at least a bachelor's degree in computer science, AI, or a related field. Singapore nationals bypass the H-1B lottery entirely, with the 5,400-visa annual cap rarely approached and consulate processing typically faster than USCIS petition review.
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Get Access To All JobsAbout Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About The Role
Applied AI (AAI) is responsible for helping Anthropic's customers go from first contact with Claude to durable, expanding usage — and this team is the strategic and analytical backbone behind that motion. As the Strategy & Operations Business Partner for AAI AMER, you'll work side-by-side with regional field engineering leadership as a deep expert in the business: the metrics, the segments, the deals, and the trends that matter most to driving growth. This is a high-autonomy, high-trust role. You'll partner directly with senior commercial leaders, build frameworks and operating rhythms, and translate ambiguous strategic questions into clear, actionable recommendations — then help carry those recommendations through to execution. You'll be one of the first people in this function, so you should be energized by building processes and structure from the ground up rather than inheriting them.
Key Responsibilities
- Partner with AAI AMER leadership to build and evolve foundational metrics dashboards, and establish the operating rhythm for ongoing business reviews
- Lead the monthly business review process for your assigned segment(s) — from metric gathering through analysis and synthesis for leadership
- Partner with central Revenue Operations to define and standardize key metrics across segments as the business grows in complexity
- Develop a use case framework grounded in real signal — current CRM data, joining sales calls and pitch clinics, reviewing key customers, and working directly with the AAI team
- Build comprehensive segment analyses and strategy recommendations, identifying quick wins and prioritization frameworks, and help kick off the strategic initiatives that follow from approved recommendations
- Build strong relationships with regional leaders and act as a trusted, embedded thought partner
- Support GTM QBRs and related cross-functional workstreams as needed
- Design and implement improved processes for tracking and reporting on team priorities and strategic initiatives, and represent that work to stakeholders across the company
Minimum Qualifications
- Background in sales strategy, revenue operations, or management consulting, including direct experience in a commercial role (this is broad — presales, customer-facing, partnerships, and founder experience can all qualify)
- Strong analytical capabilities with a track record of converting data into actionable, well-supported recommendations
- Experience with GTM systems and business intelligence tools
- Proven ability to build trust and influence senior stakeholders without direct authority
- Experience designing and managing strategic planning processes and business reviews
- Bachelor's degree in business, economics, or a related quantitative field, or equivalent practical experience
Preferred Qualifications
- 10+ years of experience in sales strategy, revenue operations, or management consulting
- Experience in high-growth technology companies in GTM or sales-adjacent roles, particularly supporting a consumption-based or usage-driven business model
- Experience at AI/ML companies or in enterprise software sales
- Experience building frameworks for sales use cases or value propositions
- Background supporting sales organizations through 2-3x+ growth periods
- Candidates without direct commercial ownership experience will still be considered if they have long, deep tenure supporting commercial leaders in a closely comparable GTM model
The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary
$270,000—$310,000 USD
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How We're Different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about our policy for using AI in our application process.
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About The Role
Applied AI (AAI) is responsible for helping Anthropic's customers go from first contact with Claude to durable, expanding usage — and this team is the strategic and analytical backbone behind that motion. As the Strategy & Operations Business Partner for AAI AMER, you'll work side-by-side with regional field engineering leadership as a deep expert in the business: the metrics, the segments, the deals, and the trends that matter most to driving growth. This is a high-autonomy, high-trust role. You'll partner directly with senior commercial leaders, build frameworks and operating rhythms, and translate ambiguous strategic questions into clear, actionable recommendations — then help carry those recommendations through to execution. You'll be one of the first people in this function, so you should be energized by building processes and structure from the ground up rather than inheriting them.
Key Responsibilities
- Partner with AAI AMER leadership to build and evolve foundational metrics dashboards, and establish the operating rhythm for ongoing business reviews
- Lead the monthly business review process for your assigned segment(s) — from metric gathering through analysis and synthesis for leadership
- Partner with central Revenue Operations to define and standardize key metrics across segments as the business grows in complexity
- Develop a use case framework grounded in real signal — current CRM data, joining sales calls and pitch clinics, reviewing key customers, and working directly with the AAI team
- Build comprehensive segment analyses and strategy recommendations, identifying quick wins and prioritization frameworks, and help kick off the strategic initiatives that follow from approved recommendations
- Build strong relationships with regional leaders and act as a trusted, embedded thought partner
- Support GTM QBRs and related cross-functional workstreams as needed
- Design and implement improved processes for tracking and reporting on team priorities and strategic initiatives, and represent that work to stakeholders across the company
Minimum Qualifications
- Background in sales strategy, revenue operations, or management consulting, including direct experience in a commercial role (this is broad — presales, customer-facing, partnerships, and founder experience can all qualify)
- Strong analytical capabilities with a track record of converting data into actionable, well-supported recommendations
- Experience with GTM systems and business intelligence tools
- Proven ability to build trust and influence senior stakeholders without direct authority
- Experience designing and managing strategic planning processes and business reviews
- Bachelor's degree in business, economics, or a related quantitative field, or equivalent practical experience
Preferred Qualifications
- 10+ years of experience in sales strategy, revenue operations, or management consulting
- Experience in high-growth technology companies in GTM or sales-adjacent roles, particularly supporting a consumption-based or usage-driven business model
- Experience at AI/ML companies or in enterprise software sales
- Experience building frameworks for sales use cases or value propositions
- Background supporting sales organizations through 2-3x+ growth periods
- Candidates without direct commercial ownership experience will still be considered if they have long, deep tenure supporting commercial leaders in a closely comparable GTM model
The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary
$270,000—$310,000 USD
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How We're Different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about our policy for using AI in our application process.
See all 407+ H-1B1 Singapore Visa Applied AI Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B1 Singapore Visa Applied AI Engineer Jobs.
Get Access To All JobsTips for Finding Visa Sponsorship as an Applied AI Engineer
Translate your credentials into U.S. equivalency
Singapore's four-year NUS or NTU computer science degrees satisfy the H-1B1 visa specialty occupation degree requirement directly. If your program was three years, document coursework and credit hours upfront so the employer's attorney can confirm equivalency before filing.
Target employers with active LCA filing history
Use Migrate Mate to filter Applied AI Engineer roles by employers who have previously filed Labor Condition Applications for this occupation code, cutting out companies unfamiliar with H-1B1 Singapore sponsorship before you invest time in interviews.
Distinguish H-1B1 status when briefing hiring managers
Many U.S. recruiters conflate H-1B1 with H-1B and assume a lottery is involved. Clarify upfront that H-1B1 Singapore requires no lottery, no USCIS petition, and is consulate-processed, which removes the April registration deadline constraint entirely.
Verify the employer's prevailing wage tier for your role
Applied AI Engineer roles frequently fall at DOL wage Level III or IV. Run the OFLC Wage Search using the correct SOC code before your offer stage so you can flag misclassified wage tiers before the Labor Condition Application is filed.
Confirm your job duties satisfy specialty occupation criteria
Pull the O*NET profile for Applied AI Engineer to see the listed knowledge domains and typical degree requirements. Cross-reference your actual day-to-day duties against that profile before your visa interview, since consular officers assess specialty occupation independently of the employer's LCA.
Negotiate filing timeline into your start-date agreement
H-1B1 visa consulate processing in Singapore can run two to four weeks after your DS-160 and interview. Build that buffer into your offer letter's start date so your employer's payroll and onboarding timelines aren't disrupted by realistic processing gaps.
Frequently Asked Questions
Does an Applied AI Engineer role qualify as a specialty occupation for the H-1B1 Singapore visa?
Yes. Applied AI Engineer positions require at least a bachelor's degree in computer science, machine learning, or a closely related field, which satisfies the H-1B1 visa specialty occupation definition. USCIS and consular officers assess whether the specific duties require that theoretical and practical application of highly specialized knowledge, so your job description should reflect those technical requirements explicitly.
How does the H-1B1 Singapore visa differ from H-1B for an Applied AI Engineer?
The H-1B1 Singapore visa has no lottery, no USCIS petition requirement, and a separate 5,400-visa annual cap that has never been exhausted. You apply directly at the U.S. Embassy in Singapore after your employer files a certified Labor Condition Application with DOL. H-1B requires USCIS registration in April, a lottery selection, and a petition approval before any consular step, adding months to the process.
How do I find U.S. employers willing to sponsor an H-1B1 Singapore visa for AI engineering roles?
Migrate Mate surfaces Applied AI Engineer jobs filtered by employers who have active H-1B1 visa and LCA filing history, so you're not cold-applying to companies unfamiliar with Singapore visa sponsorship. Focusing your search on employers with a documented track record of sponsoring this visa type substantially reduces the risk of an offer falling through at the filing stage.
Can I switch employers after arriving in the U.S. on an H-1B1 Singapore visa?
Yes, but each new employer must file a new Labor Condition Application and you must obtain a new H-1B1 visa stamp at a consulate before starting with them. Unlike H-1B, there is no portability provision allowing you to begin work immediately upon a transfer petition being filed, so plan for consulate processing time between roles.
What documents should a Singaporean Applied AI Engineer prepare before the visa interview?
Bring your certified LCA, a support letter from your U.S. employer detailing your AI engineering duties and required qualifications, your academic transcripts and degree certificates, your DS-160 confirmation, and evidence of your nonimmigrant intent. If your Singapore degree was three years rather than four, include a course-by-course credential evaluation addressing U.S. equivalency, since consular officers may raise the issue independently of the LCA.