H-1B Visa Technical Solutions Architect Jobs
Technical Solutions Architect roles qualify for H-1B visa sponsorship as specialty occupations requiring at least a bachelor's degree in computer science, engineering, or a related field. Employers in cloud, enterprise software, and consulting actively file LCAs for this title. The annual H-1B cap applies, making lottery timing and employer selection critical.
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Get Access To All JobsINTRODUCTION
As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships.
You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources.
We are seeking a highly technical, forward-thinking Enterprise Architect to join the Enterprise Product Strategy and Architecture (EPA) team with a dedicated focus on Data and AI Enablement. In this role, you will be responsible for defining, driving, and scaling enterprise-wide architectural standards, reference models, and patterns that empower Corporate Engineering to build innovative, secure, and data-driven capabilities.
You will be responsible for authoring the core reference architectures, blueprints, and design patterns required to modernize our data life-cycle and accelerate the deployment of safe, scalable AI solutions. This is an impact-driven role focused heavily on execution and enablement; you will work with technical leads and engineering squads across all Corporate Engineering pillars to advocate modern data architecture, unblock complex technical hurdles, and directly drive the active adoption of enterprise AI standards.
The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
LOCATION
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Austin, TX, USA; New York, NY, USA; San Jose, CA, USA.
MINIMUM QUALIFICATIONS
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in technology, software engineering, or enterprise architecture, with an emphasis on data engineering or AI/ML systems.
- Experience designing and implementing data architecture frameworks, enterprise data warehouses/data lakes, or production-grade AI/ML pipelines.
- Experience in developing solution architectures through system design techniques (sample topics include distributed systems, designing a system under certain constraints, simplicity, limitations, robustness and tradeoffs).
PREFERRED QUALIFICATIONS
- Experience developing data and product strategies across a portfolio of internal systems within a complex, large-scale enterprise.
- Knowledge of modern data tooling, cloud-native data services, machine learning operations frameworks, and large language models (LLM) orchestration patterns.
- Excellent organizational, investigative and influencing skills.
Responsibilities
- Author Core Blueprints and Standardize AI Patterns.
- Drive Adoption and Cross-Pillar Enablement.
- Collaborate with Environmental Protection Agency Peers.
- Evaluate Industry Trends and Upskill Engineering Teams.
COMPENSATION
US: $183000 - $266000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
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.
INTRODUCTION
As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships.
You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources.
We are seeking a highly technical, forward-thinking Enterprise Architect to join the Enterprise Product Strategy and Architecture (EPA) team with a dedicated focus on Data and AI Enablement. In this role, you will be responsible for defining, driving, and scaling enterprise-wide architectural standards, reference models, and patterns that empower Corporate Engineering to build innovative, secure, and data-driven capabilities.
You will be responsible for authoring the core reference architectures, blueprints, and design patterns required to modernize our data life-cycle and accelerate the deployment of safe, scalable AI solutions. This is an impact-driven role focused heavily on execution and enablement; you will work with technical leads and engineering squads across all Corporate Engineering pillars to advocate modern data architecture, unblock complex technical hurdles, and directly drive the active adoption of enterprise AI standards.
The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
LOCATION
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Austin, TX, USA; New York, NY, USA; San Jose, CA, USA.
MINIMUM QUALIFICATIONS
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in technology, software engineering, or enterprise architecture, with an emphasis on data engineering or AI/ML systems.
- Experience designing and implementing data architecture frameworks, enterprise data warehouses/data lakes, or production-grade AI/ML pipelines.
- Experience in developing solution architectures through system design techniques (sample topics include distributed systems, designing a system under certain constraints, simplicity, limitations, robustness and tradeoffs).
PREFERRED QUALIFICATIONS
- Experience developing data and product strategies across a portfolio of internal systems within a complex, large-scale enterprise.
- Knowledge of modern data tooling, cloud-native data services, machine learning operations frameworks, and large language models (LLM) orchestration patterns.
- Excellent organizational, investigative and influencing skills.
Responsibilities
- Author Core Blueprints and Standardize AI Patterns.
- Drive Adoption and Cross-Pillar Enablement.
- Collaborate with Environmental Protection Agency Peers.
- Evaluate Industry Trends and Upskill Engineering Teams.
COMPENSATION
US: $183000 - $266000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
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 3,666+ H-1B Visa Technical Solutions Architect Jobs
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Get Access To All JobsTips for Finding H-1B Visa Sponsorship in Technical Solutions Architect
Verify your degree aligns with the role
USCIS requires a direct relationship between your degree field and the Solutions Architect position. A degree in computer science, information systems, or engineering typically satisfies this. A business degree alone often triggers an RFE, so gather documentation linking your coursework to technical architecture work.
Search LCA filings by SOC code
Technical Solutions Architects file under SOC code 15-1299 or 15-1252 depending on specialization. Use the OFLC Wage Search to identify employers who have certified LCAs for this exact title, then prioritize outreach to companies with consistent filing history in your target metro area.
Target companies with cap-exempt pathways
Universities, nonprofit research institutions, and government-affiliated entities can file H-1B petitions outside the annual lottery cap. Solutions Architect roles exist at these organizations, particularly in research computing and academic IT infrastructure, and you can start any time of year without waiting for the April registration window.
Use Migrate Mate to filter for H-1B sponsors
Search Technical Solutions Architect roles on Migrate Mate to surface only employers with verified H-1B LCA filing history for this job title. This cuts out companies that list the role but have no demonstrated history of sponsoring it, saving you from offers that stall at the petition stage.
Clarify the prevailing wage tier before accepting
Your employer must certify your salary meets the DOL prevailing wage for the role's location and experience level. Solutions Architect titles span wage levels 2 through 4 depending on scope. Cross-check the offered salary against the OFLC Wage Search before signing an offer to confirm the LCA can be filed at your compensation.
Negotiate premium processing into your offer
USCIS premium processing upgrades adjudication to 15 business days. For Solutions Architect roles with a defined project start date, request that your employer include premium processing in the offer terms before signing, since retrofitting it after petition filing adds cost and timeline uncertainty.
H-1B Visa Technical Solutions Architect: Frequently Asked Questions
Does a Technical Solutions Architect role qualify as a specialty occupation for H-1B purposes?
Yes, provided the position requires at least a bachelor's degree in a directly related field such as computer science, information systems, or electrical engineering. USCIS scrutinizes job descriptions that list the degree as preferred rather than required, so the offer letter and supporting documentation must make the degree requirement explicit and tied to the specific technical duties of the role.
Which employers sponsor H-1B visas for Technical Solutions Architect positions?
Cloud platform providers, enterprise software vendors, management consulting firms, and large financial institutions file LCAs for this title regularly. Browse Technical Solutions Architect roles on Migrate Mate to see employers with verified H-1B filing history for this specific job title, which is more reliable than assuming sponsorship based on company size or industry reputation alone.
How does the H-1B lottery affect my timeline for starting a Solutions Architect role?
Cap-subject H-1B petitions have an October 1 start date, meaning you register in March and cannot begin work until the following fiscal year at the earliest. If your employer is a university or qualifying nonprofit, the cap doesn't apply and you can start sooner. For cap-subject roles, build at least six months of runway into your job search timeline.
Can I transfer my H-1B to a new Solutions Architect employer without losing status?
Yes. Under H-1B portability rules, you can begin working for a new employer as soon as the transfer petition is filed, not when it's approved, as long as you've been in valid H-1B status for at least 180 days. The new employer must file an I-129 petition and an LCA certified for the specific role and location before you start.
What documentation strengthens an H-1B petition for a Solutions Architect role?
A detailed job description tying each duty to a specific technical discipline, a degree equivalency evaluation if your credential is from outside the U.S., and evidence of the employer's business need for a degreed professional in this role all help. If your title varies from standard O*NET classifications, a letter from a subject-matter expert explaining the role's academic requirements can reduce RFE risk.