AI Solutions Engineer Jobs at Google with Visa Sponsorship
AI Solutions Engineer jobs at Google sit at the intersection of machine learning infrastructure and enterprise client work, requiring both deep technical fluency and the ability to translate complex AI systems for business stakeholders. Google has a well-established sponsorship process for engineering functions and actively files for H-1B visa, H-1B1 visa, and E-3 visas for this role.
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INTRODUCTION
The application window will be open until at least June 11, 2026. This opportunity will remain online based on business needs which may be before or after the specified date. This role may also be located in our Playa Vista, CA campus. Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Francisco, CA, USA; Atlanta, GA, USA; Boulder, CO, USA; Chicago, IL, USA; Mountain View, CA, USA; New York, NY, USA; Los Angeles, CA, USA; San Bruno, CA, USA; Sunnyvale, CA, USA.
ABOUT THE JOB
Businesses of all shapes and sizes rely on Google’s unparalleled advertising solutions to help them grow in today's dynamic marketing environment. You bring a passion for sales, knowledge of online media, and commitment to maximize customer success. You act like an owner, move with velocity through change, finding innovative and strategic ways to consistently deliver extraordinary and incremental outcomes for both Google and the customers. You build trusted relationships with customers, uncovering their business needs and translating them into powerful solutions to achieve their most ambitious goals. You achieve as a team with sellers, shape the future of advertising in the AI-era, and make a real impact on the millions of companies and billions of users that trust Google with their most important goals. The Enterprise and Cloud GPS organization's mission is to create positioning clarity around our enterprise and Cloud solutions and maximize product utility for the world’s largest agencies, partners, and advertisers. Within this organization, the Ads, Cloud and AI team's mission is to deliver integrated, AI-powered solutions that bridge the gap between Ads and Cloud to accelerate marketing innovation and maximize performance. We are seeking a highly motivated person, who is adaptable and takes initiative and can develop familiarity across a broad suite of Ads and Cloud products. You will build relationships and collaborate effectively across a stakeholder map, and understand the perspective and needs of the enterprise customer. You will deliver results through deliberate prioritization and grow in a nascent yet high growth space where we are creating the playbook and unlocking new frontiers for innovation.
BASIC QUALIFICATIONS
- Bachelor's degree or equivalent practical experience.
- 4 years of experience in product management, marketing, management consulting, or project management in technology.
- Experience working with Product Management or Engineering teams, executive leadership, and cross-functional stakeholders.
- Experience developing business strategies or managing cross-functional initiatives.
PREFERRED QUALIFICATIONS
- 6 years of experience in Sales, Product Marketing, Product Management, Customer Solutions Engineering, Management Consulting.
- Understanding of market dynamics and customer needs with customer orientation approach.
- Excellent communication skills, including the ability to translate technical concepts to simplified sales language.
- Ability to work in cross-functional collaboration with a culture of problem solving.
- Ability to grow in ambiguity to progress towards a shared direction and deliver customer value.
- Familiarity with Google Cloud Platform (or other Cloud solutions), Google Marketing Platform, Display and Video 360, Campaign Manager 360, other advertising technology/marketing technology.
Responsibilities
- Partner with Product, Marketing, Sales, gTech and other cross-functional teams within both the Ads and Cloud organizations to commercialize shared go-to-market opportunities.
- Synthesize and incorporate feedback from internal teams and customers into product development and improvement efforts.
- Serve as an authority on Ads, Cloud, and AI efforts and solutions, with a specific focus on those at the intersection of the three areas.
- Travel globally, when needed, to support and activate sales teams, through roadshows, internal and external meetings, etc.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $124000 - $179000 (USD) + 15% bonus target + bonus + equity + benefits.
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.
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Get Access To All JobsTips for Finding AI Solutions Engineer Jobs at Google
Build a portfolio demonstrating production AI deployments
Google's AI Solutions Engineer interviews assess hands-on experience with large-scale ML systems, not just theoretical knowledge. Document deployments involving model serving, prompt engineering, or API integration that reached real users or generated measurable business outcomes.
Target Google's Professional Services hiring track
AI Solutions Engineer roles at Google sit within Professional Services, not core engineering. Applications routed through that org get evaluated differently than software engineering pipelines, so aligning your resume to client-facing technical delivery signals you understand the distinction.
Confirm E-3 eligibility before negotiating your offer
If you're an Australian citizen, Google sponsors the E-3 visa for this role, which bypasses the H-1B lottery entirely. Raise your nationality early with the recruiter so the Labor Condition Application process starts on the right visa track from day one.
Time your application around Google's H-1B filing calendar
USCIS opens H-1B registration each March for an April 1 start date. Accepting an offer in December through February gives Google enough runway to register you in that cycle without needing costly premium processing to bridge a later start date.
Use Migrate Mate to filter AI Solutions Engineer roles by visa type
Not every Google job posting specifies which visa types the hiring team will support. Browse verified AI Solutions Engineer openings on Migrate Mate filtered by H-1B, H-1B1 visa, or E-3 sponsorship so you apply only to roles with confirmed sponsorship pathways.
Prepare your credentials for DOL specialty occupation scrutiny
The DOL Labor Condition Application for AI Solutions Engineer roles occasionally draws requests for evidence when the degree field doesn't map cleanly to the job title. A transcript showing coursework in machine learning, statistics, or computer science strengthens your specialty occupation case significantly.
Frequently Asked Questions
Does Google sponsor H-1B visas for AI Solutions Engineers?
Yes, Google sponsors H-1B visas for AI Solutions Engineer roles. The process involves Google filing a Labor Condition Application with the DOL, then submitting an H-1B petition to USCIS on your behalf. Because H-1B is subject to an annual lottery, timing your offer and onboarding around USCIS's March registration window is important for planning your start date.
Which visa types does Google commonly use for AI Solutions Engineer roles?
Google files H-1B petitions for the broadest pool of international candidates in this role. Australian citizens can pursue the E-3 visa instead, which skips the lottery and uses the same LCA process but with far less competition for available slots. Singaporean and Chilean nationals holding H-1B1 visa status are also eligible, and Google has a track record of filing that category for qualified applicants.
What qualifications does Google expect for AI Solutions Engineer roles?
Google typically looks for a bachelor's degree or higher in computer science, electrical engineering, or a closely related technical field. Beyond credentials, the role requires demonstrated experience building or deploying machine learning systems, working with Google Cloud or similar infrastructure, and translating technical capabilities for enterprise clients. Candidates with prior professional services or solutions consulting backgrounds alongside ML experience stand out.
How do I apply for AI Solutions Engineer jobs at Google?
Search for AI Solutions Engineer openings directly on Google's careers site or browse verified sponsorship-confirmed listings on Migrate Mate, which filters roles by visa type so you can identify positions where your visa category is explicitly supported. Once you apply, expect a recruiter screen followed by technical interviews covering ML system design, coding, and a client-facing case study component specific to the Professional Services track.
How do I plan my timeline if I need H-1B sponsorship at Google?
The H-1B cap year runs October 1 through September 30, with USCIS registration opening each March. If you receive an offer outside that window, Google can file with premium processing to get a decision in about 15 business days, but your work authorization still cannot begin before October 1 unless you're changing from another eligible status. Build at least six months of lead time into your job search to avoid gaps.