AI Solution Architect Jobs at Google with Visa Sponsorship
AI Solution Architect jobs at Google sit at the intersection of applied AI and enterprise client strategy, requiring deep technical fluency and the ability to translate complex solutions into business outcomes. Google has a strong track record of sponsoring work visas for this function across H-1B visa, H-1B1 visa, and E-3 visa categories.
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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 Solution Architect Jobs at Google
Frame your credentials around production AI systems
Google's AI Solution Architect hiring emphasizes hands-on deployment experience, not just theoretical knowledge. Before applying, document specific systems you've architected using tools like TensorFlow, Vertex AI, or equivalent platforms, with clear outcomes tied to business value.
Target Google Cloud's enterprise and strategic accounts teams
AI Solution Architect openings at Google cluster within Google Cloud's customer-facing divisions. Searching for roles tied to enterprise accounts or industry verticals like financial services and healthcare surfaces the most active hiring pipelines for this function.
Distinguish yourself during the technical system design interview
Google's interview loop for this role includes a system design round focused on scalable AI architectures. Prepare to walk through end-to-end ML pipeline design, including data ingestion, model serving, and monitoring, using Google Cloud-native components where possible.
Confirm your visa category eligibility before accepting an offer
Google sponsors H-1B, H-1B1 visa, and E-3 visas for this role. Australian citizens should confirm E-3 eligibility with the recruiter early, since E-3 petitions can be filed year-round without lottery exposure and with faster processing than standard H-1B filings.
Use Migrate Mate to surface active AI Solution Architect openings at Google
Sponsorship-confirmed roles at large employers fill quickly and aren't always easy to identify across standard job boards. Use Migrate Mate to filter AI Solution Architect positions at Google that are open to visa sponsorship, so you're applying to the right openings from the start.
Understand how Google handles H-1B cap timing for new hires
If you're not currently in H-1B status, Google must file during the annual USCIS cap season with an October 1 start date. Factor the April lottery window and a potential six-month wait into your negotiation timeline when discussing a start date with your recruiter.
Frequently Asked Questions
Does Google sponsor H-1B visas for AI Solution Architects?
Yes, Google sponsors H-1B visas for AI Solution Architect roles. The company is a registered H-1B employer and has a consistent track record of filing petitions for technical and client-facing roles in this category. If you're subject to the H-1B cap, Google's recruiting team will guide you through the April registration window and the October 1 start date process.
How do I apply for AI Solution Architect jobs at Google?
Applications go through Google's careers portal at careers.google.com. Search for AI Solution Architect roles under Google Cloud. The process typically includes an initial recruiter screen, a technical phone interview covering AI and ML fundamentals, a system design round, and a behavioral interview loop. Indicate your visa sponsorship needs early so the recruiting team can align timelines accordingly. Migrate Mate also lists active Google openings filtered by sponsorship eligibility.
Which visa types does Google commonly use for AI Solution Architect roles?
Google files H-1B petitions for the broadest pool of international candidates. Australian citizens can request E-3 sponsorship, which bypasses the lottery and allows year-round filing. Candidates from Chile or Singapore may qualify for the H-1B1 visa. All three categories require Google to file a certified Labor Condition Application with the DOL before the petition is submitted to USCIS.
What qualifications does Google expect for AI Solution Architect candidates?
Google typically looks for a bachelor's degree or higher in computer science, electrical engineering, or a closely related field, combined with direct experience designing and deploying production AI or ML systems. Familiarity with Google Cloud products, particularly Vertex AI and BigQuery, is a strong advantage. Client-facing experience, the ability to present technical architectures to non-technical stakeholders, and prior work in enterprise or strategic accounts settings also carry significant weight in the evaluation process.
How long does the visa sponsorship process take once Google extends an offer?
Timeline depends on your visa category. E-3 and H-1B1 visa filings can be adjudicated within a few weeks if filed at a consulate outside the U.S. Cap-subject H-1B petitions require registration in April and cannot start until October 1, meaning a five-to-six month gap between offer and start date is common. USCIS premium processing, which Google has historically made available for sponsored hires, can reduce adjudication to roughly 15 business days once the petition is filed.