H-1B1 Singapore Visa AI Engineer Jobs
AI Engineer jobs with H-1B1 Singapore visa sponsorship let you skip the H-1B lottery entirely. As a Singaporean national, you apply directly at the U.S. consulate under the U.S.-Singapore Free Trade Agreement, with an annual cap of 5,400 visas that has never come close to filling.
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Uber’s Commercial Sales Enablement team equips our commercial teams with the capabilities, tools, insights, and processes needed to increase productivity, accelerate growth, and improve customer outcomes. AI creates new opportunities to improve how our sellers, account managers, and Enablement teams work—from reducing preparation time to helping them make better decisions.
As the Associate, Global Commercial Enablement AI Innovation, you will build and improve AI-powered workflows that solve practical problems for our teams. Reporting to the Manager, Global Commercial Enablement AI Innovation, you will turn prioritized opportunities into working prototypes, test solutions with users, and support their rollout and ongoing improvement.
Approximately 70% of your time will focus on commercial team productivity. You might build workflows that generate tailored pitch decks, streamline account research and meeting preparation, prioritize accounts, or improve field travel planning. The remaining 30% will focus on Enablement team productivity, automating recurring work and improving content development, program coordination, feedback analysis, and reporting.
This is a hands-on builder role for someone who uses AI as a core part of how they solve problems. You will take responsibility for defined projects and workflow components, working with your manager and technical partners on prioritization, design decisions, and more complex integrations. Success means delivering useful, dependable solutions that help teams work faster and smarter.
What you’ll do
- Translate user needs into practical solutions: Work with your manager and commercial or Enablement partners to understand recurring tasks, information gaps, and workflow challenges. Turn agreed use cases into clear requirements and build plans.
- Build commercial productivity workflows: Develop tools for account research, meeting preparation, tailored pitch deck creation, proposal drafting, and follow-up documentation using approved AI tools and business content.
- Support better commercial decisions: Build and test components of account prioritization, outreach planning, and field visit planning tools. Work with business and data partners to check recommendations against agreed objectives and constraints.
- Automate Enablement activities: Create workflows that simplify content development and updates, learning resource creation, program coordination, feedback synthesis, reporting, and other recurring tasks.
- Develop and iterate on prototypes: Build working solutions, demonstrate them to users, gather feedback, and make improvements. Surface design choices, dependencies, and blockers to your manager early.
- Connect tools and information: Use approved AI platforms, APIs, automation tools, and lightweight code to connect systems and streamline work. Collaborate with system owners and technical partners on access and integration requirements.
- Test quality and reliability: Apply agreed evaluation criteria to check output accuracy, relevance, consistency, and usability. Maintain test examples, document failures, and improve workflows before broader release.
- Build in appropriate controls: Implement human review steps, source references, error handling, and fallback paths. Follow applicable requirements for data access, privacy, security, and customer information.
- Support rollout and adoption: Create concise instructions, demonstrations, and examples that help users apply solutions in their daily work. Gather questions and resolve issues or escalate them to the appropriate owner.
- Track results and maintain workflows: Collect usage, time-saving, quality, and feedback data. Monitor assigned solutions, troubleshoot problems, and update them as tools, content, and processes change.
- Document and reuse effective approaches: Maintain clear documentation of workflow logic, dependencies, testing, and support needs. Share reusable components and lessons with the broader team.
- Explore new capabilities: Test emerging approved tools against defined use cases and recommend practical improvements to existing solutions.
Basic qualifications
- A minimum of 3 years of professional experience in automation, business systems, operations, Enablement, technical project coordination, or a related field.
- Hands-on experience building AI-powered workflows, automations, or tools that address practical business needs.
- Experience using generative AI tools, APIs, workflow automation platforms, and scripting or lightweight application development.
- Ability to build functional prototypes, troubleshoot issues, and explain how a solution works.
- Experience gathering user requirements, testing outputs, and incorporating feedback into improvements.
- Ability to evaluate AI outputs for accuracy and relevance and recognize when human review or additional validation is needed.
- Strong organization and follow-through, with the ability to manage assigned deliverables, document work, and communicate progress and blockers.
- Ability to work effectively with business users and technical partners and explain implementation choices in clear language.
- Professional working proficiency in English.
- Ability to work from the designated Uber office according to Uber’s applicable work schedule and collaborate across global teams and time zones.
Preferred qualifications
- Experience building tools for sales, account management, customer success, or Enablement teams.
- A portfolio of AI or automation projects demonstrating practical use, user feedback, or measurable improvements.
- Familiarity with Salesforce, Agentforce, Seismic, Gong, Google Workspace, or comparable commercial and productivity platforms.
- Experience grounding AI outputs in approved content or business data and using structured outputs in multi-step workflows.
- Experience automating presentations, account briefs, proposals, learning materials, or other document-based work.
- Familiarity with data analysis, account prioritization, recommendation tools, scheduling, or routing use cases.
- Experience maintaining test cases, troubleshooting integrations, and documenting workflows for other users or builders.
- Curiosity about new AI capabilities and sound judgment about when a simpler process or rules-based solution will work better.
For Chicago, IL-based roles: The base salary range for this role is USD $113,000 per year - USD $126,000 per year.
For New York City, NY-based roles: The base salary range for this role is USD $126,000 per year - USD $140,000 per year.
For San Francisco, CA-based roles: The base salary range for this role is USD $126,000 per year - USD $140,000 per year.
For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.
Ready to Ride?
This isn't the kind of place where you follow a playbook — it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves — we'd love to hear from you.
You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.
Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.
Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.
About the role and team
Uber’s Commercial Sales Enablement team equips our commercial teams with the capabilities, tools, insights, and processes needed to increase productivity, accelerate growth, and improve customer outcomes. AI creates new opportunities to improve how our sellers, account managers, and Enablement teams work—from reducing preparation time to helping them make better decisions.
As the Associate, Global Commercial Enablement AI Innovation, you will build and improve AI-powered workflows that solve practical problems for our teams. Reporting to the Manager, Global Commercial Enablement AI Innovation, you will turn prioritized opportunities into working prototypes, test solutions with users, and support their rollout and ongoing improvement.
Approximately 70% of your time will focus on commercial team productivity. You might build workflows that generate tailored pitch decks, streamline account research and meeting preparation, prioritize accounts, or improve field travel planning. The remaining 30% will focus on Enablement team productivity, automating recurring work and improving content development, program coordination, feedback analysis, and reporting.
This is a hands-on builder role for someone who uses AI as a core part of how they solve problems. You will take responsibility for defined projects and workflow components, working with your manager and technical partners on prioritization, design decisions, and more complex integrations. Success means delivering useful, dependable solutions that help teams work faster and smarter.
What you’ll do
- Translate user needs into practical solutions: Work with your manager and commercial or Enablement partners to understand recurring tasks, information gaps, and workflow challenges. Turn agreed use cases into clear requirements and build plans.
- Build commercial productivity workflows: Develop tools for account research, meeting preparation, tailored pitch deck creation, proposal drafting, and follow-up documentation using approved AI tools and business content.
- Support better commercial decisions: Build and test components of account prioritization, outreach planning, and field visit planning tools. Work with business and data partners to check recommendations against agreed objectives and constraints.
- Automate Enablement activities: Create workflows that simplify content development and updates, learning resource creation, program coordination, feedback synthesis, reporting, and other recurring tasks.
- Develop and iterate on prototypes: Build working solutions, demonstrate them to users, gather feedback, and make improvements. Surface design choices, dependencies, and blockers to your manager early.
- Connect tools and information: Use approved AI platforms, APIs, automation tools, and lightweight code to connect systems and streamline work. Collaborate with system owners and technical partners on access and integration requirements.
- Test quality and reliability: Apply agreed evaluation criteria to check output accuracy, relevance, consistency, and usability. Maintain test examples, document failures, and improve workflows before broader release.
- Build in appropriate controls: Implement human review steps, source references, error handling, and fallback paths. Follow applicable requirements for data access, privacy, security, and customer information.
- Support rollout and adoption: Create concise instructions, demonstrations, and examples that help users apply solutions in their daily work. Gather questions and resolve issues or escalate them to the appropriate owner.
- Track results and maintain workflows: Collect usage, time-saving, quality, and feedback data. Monitor assigned solutions, troubleshoot problems, and update them as tools, content, and processes change.
- Document and reuse effective approaches: Maintain clear documentation of workflow logic, dependencies, testing, and support needs. Share reusable components and lessons with the broader team.
- Explore new capabilities: Test emerging approved tools against defined use cases and recommend practical improvements to existing solutions.
Basic qualifications
- A minimum of 3 years of professional experience in automation, business systems, operations, Enablement, technical project coordination, or a related field.
- Hands-on experience building AI-powered workflows, automations, or tools that address practical business needs.
- Experience using generative AI tools, APIs, workflow automation platforms, and scripting or lightweight application development.
- Ability to build functional prototypes, troubleshoot issues, and explain how a solution works.
- Experience gathering user requirements, testing outputs, and incorporating feedback into improvements.
- Ability to evaluate AI outputs for accuracy and relevance and recognize when human review or additional validation is needed.
- Strong organization and follow-through, with the ability to manage assigned deliverables, document work, and communicate progress and blockers.
- Ability to work effectively with business users and technical partners and explain implementation choices in clear language.
- Professional working proficiency in English.
- Ability to work from the designated Uber office according to Uber’s applicable work schedule and collaborate across global teams and time zones.
Preferred qualifications
- Experience building tools for sales, account management, customer success, or Enablement teams.
- A portfolio of AI or automation projects demonstrating practical use, user feedback, or measurable improvements.
- Familiarity with Salesforce, Agentforce, Seismic, Gong, Google Workspace, or comparable commercial and productivity platforms.
- Experience grounding AI outputs in approved content or business data and using structured outputs in multi-step workflows.
- Experience automating presentations, account briefs, proposals, learning materials, or other document-based work.
- Familiarity with data analysis, account prioritization, recommendation tools, scheduling, or routing use cases.
- Experience maintaining test cases, troubleshooting integrations, and documenting workflows for other users or builders.
- Curiosity about new AI capabilities and sound judgment about when a simpler process or rules-based solution will work better.
For Chicago, IL-based roles: The base salary range for this role is USD $113,000 per year - USD $126,000 per year.
For New York City, NY-based roles: The base salary range for this role is USD $126,000 per year - USD $140,000 per year.
For San Francisco, CA-based roles: The base salary range for this role is USD $126,000 per year - USD $140,000 per year.
For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.
Ready to Ride?
This isn't the kind of place where you follow a playbook — it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves — we'd love to hear from you.
You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.
Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.
Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.
See all 983+ H-1B1 Singapore Visa AI Engineer Jobs
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Get Access To All JobsTips for Finding Visa Sponsorship as an AI Engineer
Verify your role qualifies as specialty occupation
The H-1B1 visa requires your AI Engineer position to demand a bachelor's degree or higher in a directly related field. Cross-check your offer letter's duties against the O*NET profile for your SOC code before signing anything.
Translate your NUS or NTU transcript for U.S. recruiters
Many U.S. hiring managers don't recognize Singapore's degree structure. A credential evaluation from a NACES-approved evaluator confirms your qualification meets the specialty occupation standard consular officers apply.
Search for employers with active H-1B1 LCA filings
Employers who've filed Labor Condition Applications for H-1B1 Singapore roles have already navigated DOL certification. Use Migrate Mate to filter AI Engineer roles by verified H-1B1 LCA filing history instead of cold-applying to unknown sponsors.
Ask recruiters whether the role is cap-exempt eligible
Certain employers, including nonprofit research institutions and universities, file outside the 5,400 annual cap. If your AI Engineer role is research-focused, confirm cap-exempt status early so the cap never becomes a scheduling constraint.
Request the LCA before your consulate appointment is booked
Your employer must file and receive DOL certification on the LCA before you can apply at the consulate. Delays here are the most common reason H-1B1 visa timelines slip, so confirm the LCA certification date in writing upfront.
Benchmark your offered salary against OFLC Wage Search
The LCA must certify you'll be paid at least the prevailing wage for your SOC code and work location. Run your job title and city through OFLC Wage Search yourself so you can flag a non-compliant offer before the employer files.
Frequently Asked Questions
Does an AI Engineer role qualify for the H-1B1 Singapore visa?
Yes, provided the position requires at least a bachelor's degree in computer science, artificial intelligence, machine learning, or a directly related field. Generic titles like 'AI Engineer' vary widely, so the consular officer will look at the actual duties. Roles requiring original model development, neural architecture design, or ML infrastructure engineering consistently satisfy the specialty occupation standard.
How does the H-1B1 Singapore visa compare to H-1B for AI Engineers?
The H-1B1 visa has no lottery, so you're not gambling on a roughly 25% selection rate the way H-1B applicants are. The 5,400 annual cap for Singaporeans has never been exhausted, and you apply directly at the U.S. consulate rather than waiting for USCIS to adjudicate a petition. The tradeoff is that H-1B1 doesn't confer dual intent, meaning it's harder to pursue a green card concurrently from this status.
How do I find AI Engineer employers who actually sponsor H-1B1 Singapore visas?
Migrate Mate filters AI Engineer roles by verified H-1B1 visa Labor Condition Application filing history pulled from DOL disclosure data, so you can see which employers have already completed the DOL certification process for Singaporean hires. This cuts out the guesswork of approaching companies that haven't sponsored the visa type before and may not know how.
What documents do Singaporean AI Engineers need for the consulate interview?
You'll need your certified LCA, a support letter from your employer detailing your duties and qualifications, your academic transcripts and degree certificate, and your DS-160 confirmation. If your Singapore degree is a three-year program, bring a credential evaluation from a NACES-recognized evaluator to preempt any question about equivalency to a U.S. four-year bachelor's degree.
Can I switch AI Engineer employers after arriving on an H-1B1 Singapore visa?
Yes, but your new employer must file a fresh LCA with DOL and receive certification before you start working. There's no H-1B-style portability that lets you begin work on a pending application. You're authorized to work only once the new LCA is certified and your status reflects the new employer, so plan for a gap between offer acceptance and your start date.