Technical Solutions Architect Jobs in USA with Visa Sponsorship
Technical Solutions Architects are strong H-1B visa and L-1 visa candidates. The role qualifies as a specialty occupation under USCIS guidelines, and employers across cloud, enterprise software, and consulting regularly sponsor both initial petitions and green card filings for this title. For detailed occupation requirements, see the O*NET profile.
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We are seeking a Technical Solutions Architect – Rafay GPU Platform to join our product team. You will work closely with product managers, engineering, technical publications, and field solution architects to define, validate, and document how customers deploy and operate Rafay’s GPU Platform.
This is a very hands-on and technical role focused on turning product capabilities into real-world architectures, deployment patterns, use cases, and troubleshooting guidance. You will build reference environments, validate end-to-end deployment scenarios, document architecture and operational best practices, and help customers understand how to successfully deploy GPU infrastructure and AI workloads using Rafay.
The ideal candidate combines strong infrastructure and cloud-native architecture skills with the ability to communicate complex technical concepts clearly. You should be comfortable working across GPU infrastructure, networking, storage, virtualization, Kubernetes and AI/ML workloads.
You will have the opportunity to work on cutting-edge infrastructure spanning GPUs, AI/ML, Generative AI, Kubernetes, virtualization, and modern data center technologies.
Key Responsibilities
Solution Architecture & Reference Architectures
- Design and document GPU PaaS reference architectures for cloud providers, enterprises, service providers, and AI infrastructure operators.
- Develop architecture patterns covering GPU compute, Kubernetes, virtual machines, bare metal, networking, storage, security, observability, and AI workloads.
- Create detailed architecture diagrams illustrating platform components, infrastructure dependencies, traffic flows, integrations, and deployment models.
- Build and maintain reproducible reference environments that demonstrate recommended deployment patterns.
- Define architecture guidance for production considerations including scalability, high availability, multi-tenancy, security, and operational resilience.
Deployment Guides & Implementation Patterns
- Develop comprehensive, hands-on deployment guides that help customers move from infrastructure prerequisites to production-ready environments.
- Document infrastructure prerequisites, installation workflows, configuration options, integrations, validation steps, and operational best practices.
- Create deployment patterns for common GPU PaaS environments, including Kubernetes clusters, GPU VMs, bare-metal GPU servers, AI development environments, and inference services.
- Develop configuration examples using technologies such as Kubernetes YAML, Helm, Terraform, APIs, CLI tools, and automation frameworks.
- Validate documented procedures against real environments to ensure they are accurate and reproducible.
GPU PaaS Use Cases
- Identify and document common customer use cases and translate them into repeatable solution architectures and implementation patterns.
- Explain architectural tradeoffs and provide guidance on selecting the appropriate deployment model for different workloads.
Troubleshooting & Operational Guidance
- Develop troubleshooting guides, runbooks, and diagnostic workflows for common deployment and operational issues.
- Reproduce customer and field issues in reference environments to understand root causes and document resolution procedures.
- Create troubleshooting decision trees covering infrastructure, Kubernetes, GPU drivers/operators, networking, storage, scheduling, and AI workloads.
- Work with engineering and support teams to identify recurring issues and convert lessons learned into reusable operational guidance.
- Document health checks, validation procedures, logs, metrics, and diagnostic commands customers can use to operate environments effectively.
Customer & Field Intelligence
- Gather feedback from customer deployments, POCs, support cases, and field engagements.
- Identify recurring architecture patterns, deployment challenges, and operational issues.
- Translate field learnings into improved reference architectures, deployment guides, troubleshooting content, and product requirements.
- Partner with product management to identify gaps that can be addressed through product enhancements or improved operational workflows.
Technical Demonstrations & Enablement
- Build and maintain demo environments showcasing GPU PaaS architectures and use cases.
- Create technical demonstrations and walkthroughs that explain deployment workflows and architecture concepts.
- Develop presentations and enablement materials for solution architects, partners, customers, and internal teams.
- Record technical demos and deployment walkthroughs for training and product launches.
- Contribute hands-on technical blogs and architecture content highlighting real-world implementation patterns.
Technical Qualifications
- 3–6+ years of experience in solutions architecture, solutions engineering, infrastructure engineering, DevOps, platform engineering, or a related technical role.
- Strong understanding of Kubernetes and cloud-native infrastructure.
- Experience designing or operating infrastructure across public cloud, private cloud, or data center environments.
- Understanding of GPU infrastructure and AI/ML workloads, including GPU scheduling, drivers, operators, resource allocation, and workload lifecycle.
- Familiarity with virtualization, bare-metal infrastructure, networking, storage, and infrastructure automation.
-
Experience with technologies such as:
-
Kubernetes, Helm, and container runtimes
- Terraform and infrastructure-as-code
- Python, Bash, YAML, and REST APIs
- GPU infrastructure and NVIDIA software stacks
- Networking and load balancing
- Persistent storage and CSI-based storage platforms
-
Observability, metrics, logging, and troubleshooting tools
-
Ability to build environments, deploy workloads, troubleshoot failures, and document the complete process.
Experience with technologies such as Slurm, KubeVirt, NVIDIA GPU Operator, NVIDIA DRA, MIG, vLLM, Ray, Kubeflow, or AI inference platforms is a plus.
Communication & Technical Writing
- Exceptional written and verbal communication skills for highly technical audiences.
- Ability to translate complex infrastructure concepts into clear architectures, deployment procedures, and operational guidance.
- Strong ability to create architecture diagrams and visually communicate system designs.
- Experience creating technical presentations, demonstrations, deployment guides, or reference architectures.
- Comfortable explaining both how a solution works and why a particular architecture should be used.
Collaboration & Execution
- Comfortable working cross-functionally with product management, engineering, support, technical publications, solution architects, partners, and customers.
- Strong hands-on problem-solving and troubleshooting skills.
- Ability to independently build and validate technical environments.
- Proven ability to manage multiple technical deliverables in a fast-moving environment.
- Self-starter who enjoys exploring new infrastructure technologies and turning that knowledge into practical guidance for customers.
Why Join Us
- Work at the intersection of GPU infrastructure, Kubernetes, cloud platforms, and AI.
- Define how customers architect and deploy production GPU PaaS environments.
- Build reference architectures and deployment patterns that directly influence customer success.
- Work hands-on with emerging GPU, AI, networking, storage, and cloud-native technologies.
- Partner closely with engineering and product teams and help shape the evolution of the Rafay platform.
The Role
We are seeking a Technical Solutions Architect – Rafay GPU Platform to join our product team. You will work closely with product managers, engineering, technical publications, and field solution architects to define, validate, and document how customers deploy and operate Rafay’s GPU Platform.
This is a very hands-on and technical role focused on turning product capabilities into real-world architectures, deployment patterns, use cases, and troubleshooting guidance. You will build reference environments, validate end-to-end deployment scenarios, document architecture and operational best practices, and help customers understand how to successfully deploy GPU infrastructure and AI workloads using Rafay.
The ideal candidate combines strong infrastructure and cloud-native architecture skills with the ability to communicate complex technical concepts clearly. You should be comfortable working across GPU infrastructure, networking, storage, virtualization, Kubernetes and AI/ML workloads.
You will have the opportunity to work on cutting-edge infrastructure spanning GPUs, AI/ML, Generative AI, Kubernetes, virtualization, and modern data center technologies.
Key Responsibilities
Solution Architecture & Reference Architectures
- Design and document GPU PaaS reference architectures for cloud providers, enterprises, service providers, and AI infrastructure operators.
- Develop architecture patterns covering GPU compute, Kubernetes, virtual machines, bare metal, networking, storage, security, observability, and AI workloads.
- Create detailed architecture diagrams illustrating platform components, infrastructure dependencies, traffic flows, integrations, and deployment models.
- Build and maintain reproducible reference environments that demonstrate recommended deployment patterns.
- Define architecture guidance for production considerations including scalability, high availability, multi-tenancy, security, and operational resilience.
Deployment Guides & Implementation Patterns
- Develop comprehensive, hands-on deployment guides that help customers move from infrastructure prerequisites to production-ready environments.
- Document infrastructure prerequisites, installation workflows, configuration options, integrations, validation steps, and operational best practices.
- Create deployment patterns for common GPU PaaS environments, including Kubernetes clusters, GPU VMs, bare-metal GPU servers, AI development environments, and inference services.
- Develop configuration examples using technologies such as Kubernetes YAML, Helm, Terraform, APIs, CLI tools, and automation frameworks.
- Validate documented procedures against real environments to ensure they are accurate and reproducible.
GPU PaaS Use Cases
- Identify and document common customer use cases and translate them into repeatable solution architectures and implementation patterns.
- Explain architectural tradeoffs and provide guidance on selecting the appropriate deployment model for different workloads.
Troubleshooting & Operational Guidance
- Develop troubleshooting guides, runbooks, and diagnostic workflows for common deployment and operational issues.
- Reproduce customer and field issues in reference environments to understand root causes and document resolution procedures.
- Create troubleshooting decision trees covering infrastructure, Kubernetes, GPU drivers/operators, networking, storage, scheduling, and AI workloads.
- Work with engineering and support teams to identify recurring issues and convert lessons learned into reusable operational guidance.
- Document health checks, validation procedures, logs, metrics, and diagnostic commands customers can use to operate environments effectively.
Customer & Field Intelligence
- Gather feedback from customer deployments, POCs, support cases, and field engagements.
- Identify recurring architecture patterns, deployment challenges, and operational issues.
- Translate field learnings into improved reference architectures, deployment guides, troubleshooting content, and product requirements.
- Partner with product management to identify gaps that can be addressed through product enhancements or improved operational workflows.
Technical Demonstrations & Enablement
- Build and maintain demo environments showcasing GPU PaaS architectures and use cases.
- Create technical demonstrations and walkthroughs that explain deployment workflows and architecture concepts.
- Develop presentations and enablement materials for solution architects, partners, customers, and internal teams.
- Record technical demos and deployment walkthroughs for training and product launches.
- Contribute hands-on technical blogs and architecture content highlighting real-world implementation patterns.
Technical Qualifications
- 3–6+ years of experience in solutions architecture, solutions engineering, infrastructure engineering, DevOps, platform engineering, or a related technical role.
- Strong understanding of Kubernetes and cloud-native infrastructure.
- Experience designing or operating infrastructure across public cloud, private cloud, or data center environments.
- Understanding of GPU infrastructure and AI/ML workloads, including GPU scheduling, drivers, operators, resource allocation, and workload lifecycle.
- Familiarity with virtualization, bare-metal infrastructure, networking, storage, and infrastructure automation.
-
Experience with technologies such as:
-
Kubernetes, Helm, and container runtimes
- Terraform and infrastructure-as-code
- Python, Bash, YAML, and REST APIs
- GPU infrastructure and NVIDIA software stacks
- Networking and load balancing
- Persistent storage and CSI-based storage platforms
-
Observability, metrics, logging, and troubleshooting tools
-
Ability to build environments, deploy workloads, troubleshoot failures, and document the complete process.
Experience with technologies such as Slurm, KubeVirt, NVIDIA GPU Operator, NVIDIA DRA, MIG, vLLM, Ray, Kubeflow, or AI inference platforms is a plus.
Communication & Technical Writing
- Exceptional written and verbal communication skills for highly technical audiences.
- Ability to translate complex infrastructure concepts into clear architectures, deployment procedures, and operational guidance.
- Strong ability to create architecture diagrams and visually communicate system designs.
- Experience creating technical presentations, demonstrations, deployment guides, or reference architectures.
- Comfortable explaining both how a solution works and why a particular architecture should be used.
Collaboration & Execution
- Comfortable working cross-functionally with product management, engineering, support, technical publications, solution architects, partners, and customers.
- Strong hands-on problem-solving and troubleshooting skills.
- Ability to independently build and validate technical environments.
- Proven ability to manage multiple technical deliverables in a fast-moving environment.
- Self-starter who enjoys exploring new infrastructure technologies and turning that knowledge into practical guidance for customers.
Why Join Us
- Work at the intersection of GPU infrastructure, Kubernetes, cloud platforms, and AI.
- Define how customers architect and deploy production GPU PaaS environments.
- Build reference architectures and deployment patterns that directly influence customer success.
- Work hands-on with emerging GPU, AI, networking, storage, and cloud-native technologies.
- Partner closely with engineering and product teams and help shape the evolution of the Rafay platform.
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Get Access To All JobsTips for Finding Technical Solutions Architect Jobs
Target companies with established H-1B filing history
Large systems integrators, cloud providers, and enterprise software firms file H-1B petitions for Solutions Architects at high volumes. Prioritizing these employers significantly improves your odds of finding a role with a clear, practiced sponsorship process.
Emphasize the specialty occupation case in your application
USCIS scrutinizes whether Solutions Architect roles require a specific degree. Highlight how your work demands deep technical expertise in a defined field, not general business or IT skills, to strengthen the specialty occupation argument upfront.
Align your degree field with the technical scope of the role
A bachelor's degree in computer science, computer engineering, or information systems is the strongest credential match. If your degree is in a related field like mathematics or electrical engineering, document how your coursework directly supports the role's technical requirements.
Position L-1B as a faster path if you're already at a multinational
If your current employer has a U.S. office, the L-1B intracompany transfer for specialized knowledge workers bypasses the H-1B lottery entirely. Solutions Architects with proprietary systems expertise are well-positioned to qualify for this category.
Get the job description right before the LCA is filed
The Labor Condition Application locks in your job duties and work location before the H-1B petition is filed. Review the description carefully, vague language like 'various IT tasks' creates vulnerability at adjudication, while specific technical duties strengthen the petition.
Start EB-2 or EB-3 conversations early with sponsoring employers
Many employers who sponsor H-1B visas for Solutions Architects will also sponsor the PERM green card process. Raising this during offer negotiation, rather than after you've started, gives you a clearer picture of the employer's long-term immigration commitment.
Frequently Asked Questions
Does a Technical Solutions Architect role qualify as a specialty occupation for H-1B purposes?
Yes, in most cases. USCIS requires that the position normally requires a bachelor's degree or higher in a specific technical field. Solutions Architect roles focused on cloud architecture, enterprise systems, or software integration typically satisfy this standard when the job description specifies degree requirements in computer science, engineering, or a closely related discipline. Roles where any degree is accepted, regardless of field, are more vulnerable to an RFE.
What degree background do employers typically require for H-1B sponsorship in this role?
Most sponsored Solutions Architect positions require a bachelor's degree in computer science, information technology, computer engineering, or a related STEM field. Some employers accept degrees in mathematics, physics, or electrical engineering if paired with relevant technical experience. A general business degree without a strong technical component is unlikely to support the specialty occupation classification USCIS requires for this visa category.
How can I find Technical Solutions Architect jobs that offer visa sponsorship?
Migrate Mate is built specifically for international candidates on work visas and filters job listings by sponsorship availability. This removes the guesswork of cold-applying to roles where sponsorship isn't on the table. Solutions Architect positions from companies with verified H-1B visa filing histories are the most reliable starting point, and Migrate Mate surfaces those directly.
Is the L-1B visa a realistic option for Solutions Architects transferring from a foreign office?
Yes, and it's often the better option if it applies to your situation. The L-1B is for intracompany transfers of employees with specialized knowledge, a category Solutions Architects fit well, particularly those who work with proprietary platforms, internal tooling, or custom enterprise systems. It skips the H-1B lottery, has no annual cap, and can be issued for up to five years.
How often do H-1B petitions for Solutions Architects receive Requests for Evidence?
RFE rates for Solutions Architect roles have historically been moderate to high, largely because the job title is broad and USCIS sometimes questions whether the position genuinely requires a degree in a specific field. Petitions with precise, technically detailed job descriptions and a direct degree-to-duties match tend to fare significantly better. Having an experienced immigration attorney draft the petition response makes a meaningful difference in outcomes.
What is the prevailing wage requirement for sponsored Technical Solutions Architect jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.