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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At AlixPartners, we solve the most complex and critical challenges by moving quickly from analysis to action when it really matters; creating value that has a lasting impact on companies, their people, and the communities they serve. We hold ourselves accountable by providing space for authenticity, growth, and equity for everyone.
AlixPartners has embraced a hybrid work model to provide flexibility and support work-life integration. Travel is part of this position, but frequency may vary based on client, team, and individual circumstances. Relocation assistance is not available for this position.
About the Role
The Principal AI Engineer sits at the intersection of software engineering, data science, platform architecture, and AI governance. You will be the technical owner of how AI/ML engineering is designed, built, governed, and shipped across a portfolio of products serving all of AlixPartners’ domains.
This is a hands-on engineering and technical leadership position. You will move fluidly between writing production code, architecting multi-tenant AI services, building internal developer tooling, leading security and governance design, and mentoring engineering teams. Your success is measured by team-level outcomes — scalable patterns that outlast your direct involvement.
AI Productization & Platform Engineering
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Design and own the firm's AI productization & governance playbook, covering service patterns, security/compliance standards, model evaluation rubrics, and production-readiness criteria.
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Build and maintain reusable internal tooling, including AI service scaffolding, evaluation and monitoring tooling, and data infrastructure — designed for team adoption without ongoing hand-holding.
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Establish AI agent governance policies covering agent permissions, code execution controls, access to internal systems, and human-in-the-loop enforcement.
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Partner with Security, Legal, and Compliance to define SOC2/ISO-aligned AI controls, vendor DPA requirements, and prompt data classification policies.
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Establish standardized deployment patterns using containerization, infrastructure-as-code, and CI/CD pipeline templates reusable across teams.
Developer Experience & Engineering Excellence
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Champion AI-assisted development practices across the engineering org, including LLM-integrated development workflows, test-driven development patterns, and reusable tooling standards that scale across teams.
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Codify modern software development standards (CI/CD, DevOps, testing, delivery quality) referenced by multiple teams as a baseline for new or re-platformed products.
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Mentor engineers and tech leads with observable improvement in delivery consistency, design quality, and production readiness rigor.
Cross-Functional Leadership & Stakeholder Influence
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Serve as the go-to technical authority on AI/ML, platform architecture, and engineering practices — regularly consulted by senior stakeholders at the design and strategy stages.
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Bridge technical and non-technical stakeholders, translating complex architectural decisions, AI risk topics, and platform tradeoffs into clear, actionable guidance.
Required
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15+ years in software engineering, data science, or a closely related technical field.
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Bachelor's degree or higher in Computer Science, Engineering, or a related field.
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Deep expertise in AI/ML frameworks and the Python ecosystem, with hands-on experience deploying models to public cloud infrastructure.
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Demonstrated experience designing and operating multi-tenant AI services and LLM integrations in production.
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Proven track record leading microservices architecture — decomposing monoliths, defining service contracts, and operationalizing CI/CD for distributed systems.
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Strong hands-on command of containerization (Docker), infrastructure-as-code (Terraform), and modern DevOps practices.
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Substantive experience with AI/LLM security — including prompt injection, data boundary enforcement, model supply chain risk, and AI-specific threat modeling.
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Strong problem-solving skills, especially in building governance frameworks, evaluation rubrics, and reusable platform patterns at scale.
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Excellent written and verbal communication skills in English; ability to translate complex technical topics to diverse audiences, including executive stakeholders.
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Experience with Agile methodologies and cross-functional product team collaboration.
Preferred / Additional Qualifications
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Experience applying AI/ML in business consulting, advisory, or professional services contexts.
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Familiarity with AI service interface and gateway design patterns, including emerging AI integration protocols.
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Contributions to open-source AI/ML projects, publications, or active involvement in technical communities.
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Advanced certifications in AI, deep learning, cloud architecture, or security (e.g., AWS/GCP/Azure ML, CISSP).
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Experience defining AI compliance controls for SOC2, ISO 27001, or TISAX frameworks.
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Demonstrated enthusiasm for developer education — writing internal guides, running workshops, or building internal tooling communities.
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Proficiency in additional languages is a plus (Go, Typescript).
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Demonstrated ability and enthusiasm to mentor and uplift junior team members or peers.
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Willingness to work outside of normal business hours, and in particular as unique projects/needs arise.
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Ability to work full time in an office and remote environment; physically able to sit/stand at a computer and work in front of a computer screen for significant portions of the workday.
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Must become familiar with, and promote and abide by, our Core Values as defined by the AlixPartners’ Code of Conduct and foster an inclusive environment with people at all levels of an organization.
The firm offers a comprehensive benefits program including health, vision, dental, disability, 401K, tuition reimbursement, identity theft protection, and mental wellness support. Employees will also receive a generous paid leave policy.
The salary range for this role takes into account a number of factors and is between $170,000/year - $400,000/year with eligibility for an annual discretionary bonus.
AlixPartners is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to, among other things, race, color, religion, sex, sexual orientation, gender identity, national origin, age, status as a protected veteran, or disability. AlixPartners is a proud Gold award-winning Veteran Friendly Employer.
This job will remain posted until July 31, 2026.
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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 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 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 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.
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