Solution Engineer Visa Sponsorship Jobs in Washington
Solution engineer visa sponsorship jobs in Washington are concentrated in the Seattle metro, home to Amazon, Microsoft, Salesforce, and a dense cluster of enterprise software companies. Redmond, Bellevue, and Seattle proper are the primary hiring hubs, with strong demand from cloud infrastructure, SaaS, and cybersecurity firms actively filing H-1B petitions for technical pre-sales talent.
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Get Access To All JobsRole: Senior AI Solutions Engineer
Location: Seattle (WA)
Job Summary:
As an AI Solutions Engineer, you will play a crucial role in developing and deploying advanced software solutions using generative AI technologies. You'll work at the intersection of AI and enterprise systems, integrating large language models and retrieval-augmented generation techniques to build scalable and efficient applications.
Key Responsibilities
Software Development & Deployment:
- Develop scalable software solutions leveraging generative AI technologies.
- Design and deploy solutions integrating LLMs and RAG into enterprise systems.
- Build modular AI components, ensuring seamless integration with existing systems.
Collaboration & System Design:
- Work closely with architects and senior engineers to implement GenAI system designs.
- Adhere to established reference architectures and standards in AI development.
Component Development & CI/CD:
- Contribute to the creation of reusable components, templates, and patterns.
- Implement and maintain CI/CD pipelines, focusing on reliability and scalability.
- Ensure observability of GenAI applications for continuous monitoring.
System Evaluation & Troubleshooting:
- Participate in testing, evaluation, and performance tuning of AI systems.
- Optimize prompts and troubleshoot deployed applications to ensure stability.
Documentation & Knowledge Sharing:
- Produce clear technical documentation for implemented solutions.
- Engage in knowledge sharing to foster team learning and improvement.
Continuous Learning & Improvement:
- Stay updated with advancements in generative AI and apply new learnings.
- Contribute to other duties/projects as assigned by management.
Required Experience & Skills
- Proficiency in building and deploying GenAI applications with LLM APIs and frameworks.
- Hands-on experience with retrieval-augmented generation (RAG) and vector databases.
- Familiarity with agent-based systems and tool integrations.
- Experience with cloud platforms like AWS, Azure, or GCP, and containerized environments such as Docker and Kubernetes.
- Understanding of CI/CD pipelines and modern deployment practices.
- Exposure to model evaluation, prompt engineering, and performance optimization.
- Proven track record in contributing to shared engineering standards or frameworks.
- Experience in release management and CI/CD deployment best practices.
Role: Senior AI Solutions Engineer
Location: Seattle (WA)
Job Summary:
As an AI Solutions Engineer, you will play a crucial role in developing and deploying advanced software solutions using generative AI technologies. You'll work at the intersection of AI and enterprise systems, integrating large language models and retrieval-augmented generation techniques to build scalable and efficient applications.
Key Responsibilities
Software Development & Deployment:
- Develop scalable software solutions leveraging generative AI technologies.
- Design and deploy solutions integrating LLMs and RAG into enterprise systems.
- Build modular AI components, ensuring seamless integration with existing systems.
Collaboration & System Design:
- Work closely with architects and senior engineers to implement GenAI system designs.
- Adhere to established reference architectures and standards in AI development.
Component Development & CI/CD:
- Contribute to the creation of reusable components, templates, and patterns.
- Implement and maintain CI/CD pipelines, focusing on reliability and scalability.
- Ensure observability of GenAI applications for continuous monitoring.
System Evaluation & Troubleshooting:
- Participate in testing, evaluation, and performance tuning of AI systems.
- Optimize prompts and troubleshoot deployed applications to ensure stability.
Documentation & Knowledge Sharing:
- Produce clear technical documentation for implemented solutions.
- Engage in knowledge sharing to foster team learning and improvement.
Continuous Learning & Improvement:
- Stay updated with advancements in generative AI and apply new learnings.
- Contribute to other duties/projects as assigned by management.
Required Experience & Skills
- Proficiency in building and deploying GenAI applications with LLM APIs and frameworks.
- Hands-on experience with retrieval-augmented generation (RAG) and vector databases.
- Familiarity with agent-based systems and tool integrations.
- Experience with cloud platforms like AWS, Azure, or GCP, and containerized environments such as Docker and Kubernetes.
- Understanding of CI/CD pipelines and modern deployment practices.
- Exposure to model evaluation, prompt engineering, and performance optimization.
- Proven track record in contributing to shared engineering standards or frameworks.
- Experience in release management and CI/CD deployment best practices.
Solution Engineer Job Roles in Washington
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Search Solution Engineer Jobs in WashingtonSolution Engineer Jobs in Washington: Frequently Asked Questions
Which companies sponsor visas for solution engineers in Washington?
Amazon, Microsoft, Salesforce, Google, and Oracle are among the most active H-1B sponsors for solution engineer roles in Washington. Beyond the major players, mid-sized SaaS and cloud companies headquartered in the Seattle area, including Tableau (now part of Salesforce), Smartsheet, and Avalara, have consistent sponsorship histories for technical pre-sales and solutions-focused positions.
Which visa types are most common for solution engineer roles in Washington?
The H-1B is the most common visa for solution engineers in Washington, given the role's typical requirement for a bachelor's degree in computer science, engineering, or a related technical field. Candidates with significant experience and industry recognition may also qualify for the O-1A. Australians working in Washington may find the E-3 visa a faster alternative to the H-1B lottery process.
Which cities in Washington have the most solution engineer sponsorship jobs?
Seattle, Bellevue, and Redmond account for the vast majority of solution engineer sponsorship opportunities in Washington. Redmond is home to Microsoft's main campus, while Seattle hosts Amazon's headquarters and a large concentration of enterprise software companies. Bellevue has grown significantly as a secondary tech hub, with firms like Snowflake and Concur maintaining offices there.
How to find solution engineer visa sponsorship jobs in Washington?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it easier to identify Washington-based solution engineer roles where employers are actively willing to sponsor. Rather than sorting through thousands of general postings, you can focus on companies with verified H-1B sponsorship histories in technical pre-sales and solutions engineering. Migrate Mate also surfaces roles across the Seattle metro, Bellevue, and Redmond.
Are there state-specific factors that affect solution engineer visa sponsorship in Washington?
Washington's concentration of enterprise technology employers means the H-1B prevailing wage requirements for solution engineers are set against a competitive regional market. The University of Washington and Washington State University both produce strong pipelines of technical graduates, which means international candidates benefit from proximity to employers already familiar with OPT-to-H-1B transitions. Washington also has no state income tax, which affects total compensation benchmarking for LCA prevailing wage filings.
What is the prevailing wage for sponsored solution engineer jobs in Washington?
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.
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