AI Engineer Jobs at Google with Visa Sponsorship
AI Engineer jobs at Google involve building some of the most advanced systems in the world, with engineering teams that reflect that ambition. For AI Engineers, roles span model development, infrastructure, and applied research across products used by billions. Google has a well-established process for sponsoring work visas, including H-1B visa, H-1B1 visa, and E-3 visa, for qualified candidates in this function.
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The GTM Practice organization, as part of the Customer Experience organization, is the central global organization that owns the development and activation of go to market plans across all product areas for Google Cloud. The Regional GTM Practice is the execution arm of the GTM practice organization, responsible for activating the field against the largest addressable market opportunities, managing performance feedback loops to accelerate growth and enable the Go To Market organization to deliver on the financial plan.
As the North America (NorthAM) AI GTM Practice Lead for Google Cloud, you will drive the regional application and operationalization of the end-to-end GTM plan for your practice area of AI. The AI GTM Practice Lead is responsible for providing dedicated accountability by play in a region and implementing a tight feedback loop to inform changes required to accelerate target attainment. You will partner with the sub-regional Growth Leaders who will lead execution of the plays in partnership with the sub-regional sales leaders.
You will showcase leadership capabilities and judgement by crafting the application of the GTM plan and orchestrating the right execution model for Google Cloud’s objectives and the regional landscape. You will partner with key cross-functional stakeholders across GTM and Engineering to manage and iterate on the plan. Finally, you will recommend ways to adapt as the market and customer needs change.
You will be expected to travel approximately 25% of the time.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $224000 - $312000 (USD) + 25% bonus target + equity + benefits
Learn more about benefits at Google.
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 15 years of experience in a technical project management or a customer-facing role.
- Experience delivering cloud adoption or cloud digital innovation programs with enterprise companies.
Preferred qualifications:
- Experience selling AI across the platform (understanding Models, Enterprise Applications, GenMedia, GenAI Customer Service Solutions), and knowledge of AI market dynamics.
- Experience in developing cloud business cases and Total Cost of Ownership (TCO) analysis aligning technology costs to business value metrics.
- Experience analyzing and interpreting data to provide insights.
- Ability to collaborate effectively and work in a cross-functional organization partnering with sales, marketing, partners, Business Development Representative (BDR) teams, engineering and product teams to achieve broader organizational goals.
- Ability to quickly learn, understand, and work with new and emerging technologies and methodologies in the cloud/IT space.
Responsibilities
- Position the Google AI platform, resolve complex technical objections, and create winning agreement strategies.
- Create scalable programs to capture market share, balancing programmatic execution with industry customization, while also orchestrating cross-functional execution of the regional AI plan across Enablement, Marketing, Partners, and Services.
- Refine GTM plans with Global and Regional Practice Leaders using performance insights. Drive measurable field engagement with GTM plays, monitoring adoption and progress toward financial goals.
- Track and analyze critical success metrics, providing insights to sales leaders and aligning with Practice Leads on necessary adjustments.
- Lead sub-regional collaboration with GTM Growth Leads to effectively implement and optimize regional plans, and conduct regular business reviews for AI, reporting GTM progress and facilitating continuous feedback loops.
Benefits
In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Chicago, IL, USA; Atlanta, GA, USA; Austinmer NSW, Australia; Addison, TX, USA; Kirkland, WA, USA; Seattle, WA, USA.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
About the job
The GTM Practice organization, as part of the Customer Experience organization, is the central global organization that owns the development and activation of go to market plans across all product areas for Google Cloud. The Regional GTM Practice is the execution arm of the GTM practice organization, responsible for activating the field against the largest addressable market opportunities, managing performance feedback loops to accelerate growth and enable the Go To Market organization to deliver on the financial plan.
As the North America (NorthAM) AI GTM Practice Lead for Google Cloud, you will drive the regional application and operationalization of the end-to-end GTM plan for your practice area of AI. The AI GTM Practice Lead is responsible for providing dedicated accountability by play in a region and implementing a tight feedback loop to inform changes required to accelerate target attainment. You will partner with the sub-regional Growth Leaders who will lead execution of the plays in partnership with the sub-regional sales leaders.
You will showcase leadership capabilities and judgement by crafting the application of the GTM plan and orchestrating the right execution model for Google Cloud’s objectives and the regional landscape. You will partner with key cross-functional stakeholders across GTM and Engineering to manage and iterate on the plan. Finally, you will recommend ways to adapt as the market and customer needs change.
You will be expected to travel approximately 25% of the time.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $224000 - $312000 (USD) + 25% bonus target + equity + benefits
Learn more about benefits at Google.
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 15 years of experience in a technical project management or a customer-facing role.
- Experience delivering cloud adoption or cloud digital innovation programs with enterprise companies.
Preferred qualifications:
- Experience selling AI across the platform (understanding Models, Enterprise Applications, GenMedia, GenAI Customer Service Solutions), and knowledge of AI market dynamics.
- Experience in developing cloud business cases and Total Cost of Ownership (TCO) analysis aligning technology costs to business value metrics.
- Experience analyzing and interpreting data to provide insights.
- Ability to collaborate effectively and work in a cross-functional organization partnering with sales, marketing, partners, Business Development Representative (BDR) teams, engineering and product teams to achieve broader organizational goals.
- Ability to quickly learn, understand, and work with new and emerging technologies and methodologies in the cloud/IT space.
Responsibilities
- Position the Google AI platform, resolve complex technical objections, and create winning agreement strategies.
- Create scalable programs to capture market share, balancing programmatic execution with industry customization, while also orchestrating cross-functional execution of the regional AI plan across Enablement, Marketing, Partners, and Services.
- Refine GTM plans with Global and Regional Practice Leaders using performance insights. Drive measurable field engagement with GTM plays, monitoring adoption and progress toward financial goals.
- Track and analyze critical success metrics, providing insights to sales leaders and aligning with Practice Leads on necessary adjustments.
- Lead sub-regional collaboration with GTM Growth Leads to effectively implement and optimize regional plans, and conduct regular business reviews for AI, reporting GTM progress and facilitating continuous feedback loops.
Benefits
In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Chicago, IL, USA; Atlanta, GA, USA; Austinmer NSW, Australia; Addison, TX, USA; Kirkland, WA, USA; Seattle, WA, USA.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
See all 113+ AI Engineer Jobs at Google
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Get Access To All JobsTips for Finding AI Engineer Jobs at Google
Align your portfolio to Google's AI research
Google publishes research across DeepMind, Google Brain, and Google Research. Before applying, map your published work, open-source contributions, or projects to these areas. Reviewers in AI hiring look for evidence you've engaged with problems at this scale.
Target teams that file E-3 or H-1B1
If you're Australian or from Singapore or Chile, Google actively files E-3 and H-1B1 visa petitions, which aren't subject to the annual lottery. Prioritize these visa types in your application conversations to avoid H-1B cap timing constraints entirely.
Use Migrate Mate to filter open AI Engineer roles
Sponsor-confirmed AI Engineer positions at Google are searchable on Migrate Mate, filtered by visa type. This cuts out the guesswork of cold-applying to roles where sponsorship eligibility hasn't been verified upfront.
Time your offer around H-1B cap deadlines
If your role requires H-1B sponsorship, Google must register you in the USCIS lottery in March for an October 1 start. Starting your interview process between October and January gives recruiters enough runway to move through rounds before the registration window.
Prepare documentation that supports a specialty occupation finding
USCIS scrutinizes AI Engineer petitions to confirm the role requires a specific degree in a relevant field, not just a general computer science background. Have transcripts, degree equivalency evaluations, and job description documentation ready before your employer files Form I-129.
Clarify internal transfer options if you're already in the U.S.
Google frequently hires through its intern-to-full-time pipeline and internal mobility programs. If you're on OPT, confirm whether your role and start date allow a cap-exempt or change-of-status H-1B filing before your authorized period expires, so there's no gap in work authorization.
Frequently Asked Questions
Does Google sponsor H-1B visas for AI Engineers?
Yes, Google sponsors H-1B visas for AI Engineer roles. The process involves USCIS lottery registration in March, with employment starting October 1 if selected. Google's legal and immigration teams manage the filing process after an offer is extended, including the Labor Condition Application that must be certified by the DOL before the petition is filed.
Which visa types does Google use for AI Engineer roles?
Google sponsors H-1B, H-1B1 visa, and E-3 visas for AI Engineers depending on your nationality. H-1B1 is available to Singaporean and Chilean nationals, and E-3 is exclusive to Australian citizens. Both H-1B1 and E-3 bypass the annual lottery, which makes them significantly faster pathways to employment for eligible candidates.
What qualifications does Google expect for AI Engineer roles?
Google AI Engineer roles typically require a bachelor's degree at minimum in computer science, machine learning, or a closely related field, with a master's or PhD preferred for research-adjacent positions. Practical experience with large-scale model training, ML infrastructure, or applied AI systems carries significant weight, particularly if supported by publications or verifiable open-source contributions.
How do I apply for AI Engineer jobs at Google?
You can browse and apply for sponsor-confirmed AI Engineer positions at Google through Migrate Mate, which filters roles by visa type so you know upfront whether your visa category is supported. Google's hiring process for AI Engineers typically includes a recruiter screen, technical phone interviews, and a virtual onsite loop covering coding, system design, and ML-specific problem solving.
How do I plan my timeline if I need visa sponsorship at Google?
If you need H-1B sponsorship, target a start date of October 1 and work backward: USCIS registration opens in March, so you'll want an offer in hand by February at the latest. For E-3 or H-1B1 visa roles, there's no lottery, and consular processing typically takes two to six weeks after your employer receives DOL certification, giving you more scheduling flexibility.