AI Engineer Visa Sponsorship Jobs in Oregon
Oregon's AI engineering market centers on Portland's growing tech sector, with employers like Intel, Nike, and a cluster of AI-focused startups and remote-first companies actively hiring. The state's proximity to major Pacific Northwest research institutions and its expanding semiconductor industry make it a genuine destination for international AI engineers seeking visa sponsorship.
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Get Access To All JobsINTRODUCTION
We are seeking an experienced Reporting, Analytics & AI Program Manager to join our team. The ideal candidate has a strong understanding of business intelligence, data analytics, artificial intelligence technologies, reporting tools, and operational processes. This role is responsible for developing and maintaining reporting solutions, providing data-driven insights, supporting AI initiatives, and ensuring data quality across GWS systems and processes. The Reporting, Analytics & AI Program Manager's responsibility is to improve decision-making, drive operational efficiency, and support digital transformation initiatives through reporting, analytics, and AI-enabled solutions.
ROLE AND RESPONSIBILITIES
- Develop, maintain, and improve dashboards, scorecards, and performance reporting for GWS leadership and business stakeholders.
- Collect, analyze, and interpret data from enterprise systems, including Tririga (IWMS), EHS platforms, data lake/warehouse, SAP, and other business applications.
- Provide recurring and ad hoc reporting to support operational, financial, compliance, and strategic objectives.
- Monitor data quality and consistency across systems and partner with stakeholders to resolve discrepancies and improve data integrity.
- Identify trends, risks, and opportunities through analysis of operational and business performance data.
- Support the development and implementation of AI, automation, and predictive analytics solutions to improve efficiency and reduce manual work.
- Partner with stakeholders to gather requirements and translate them into reporting, analytics, and AI-enabled solutions.
- Create and maintain data models, reporting standards, and documentation to support consistency, scalability, and governance.
- Train and support users on reporting tools, dashboards, AI capabilities, and data interpretation.
- Monitor adoption and effectiveness of reporting and AI solutions and recommend continuous improvements.
- Act as a subject matter expert for reporting, analytics, and AI-related requests and initiatives.
- Support special projects involving data visualization, business intelligence, process optimization, and digital transformation.
- Collaborate with IT, Digital Transformation, Facilities Operations, Real Estate, EHS, Finance, and other teams to support enterprise reporting requirements.
- Provide recommendations on leveraging data, analytics, automation, and AI to improve business processes and operational performance.
BASIC QUALIFICATIONS
- Minimum of 12 years of related experience with a Bachelor’s degree; or 8 years and a Master’s degree; or equivalent experience.
- 5+ years of experience in reporting, analytics, business intelligence, data management, or a related field.
- 5+ years of experience working with enterprise reporting tools and dashboards.
- Experience working with Power BI, Tableau, SQL, Excel, or similar reporting and analytics platforms.
- Experience supporting business process improvement initiatives.
- Experience with AI technologies, automation tools, Microsoft Copilot & Cowork, Power Platform, or machine learning solutions preferred.
- Project management experience a plus.
- Experience with IWMS, SAP, enterprise solutions, data lake/warehouses, or facilities management systems preferred.
PREFERRED QUALIFICATIONS
- Comfortable in a fast-paced, constantly changing environment.
- Comfortable working independently and as part of a team.
- Impeccable attention to detail.
- Strong analytical and problem-solving skills.
- Ability to transform complex data into meaningful business insights.
- Experience creating executive-level dashboards and reporting solutions.
- Strong understanding of data governance, data quality, and reporting best practices.
- Experience with data visualization and business intelligence tools.
- Proficient in Excel, Power BI, Microsoft Office applications, and related reporting tools.
- Working knowledge of AI, automation, and digital transformation concepts.
- Proven experience in operations, business process improvement, and performance measurement.
- Ability to manage multiple priorities and meet deadlines while maintaining high-quality deliverables.
OUR COMMITMENT
We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.
Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.
Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories – On-site Flex and Virtual Flex. ‘On-site Flex’ you’ll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. ‘Virtual Flex’ you’ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.
OUR PERKS AND BENEFITS
At Lam, our people make amazing things possible. That’s why we invest in you throughout the phases of your life with a comprehensive set of outstanding benefits.
INTRODUCTION
We are seeking an experienced Reporting, Analytics & AI Program Manager to join our team. The ideal candidate has a strong understanding of business intelligence, data analytics, artificial intelligence technologies, reporting tools, and operational processes. This role is responsible for developing and maintaining reporting solutions, providing data-driven insights, supporting AI initiatives, and ensuring data quality across GWS systems and processes. The Reporting, Analytics & AI Program Manager's responsibility is to improve decision-making, drive operational efficiency, and support digital transformation initiatives through reporting, analytics, and AI-enabled solutions.
ROLE AND RESPONSIBILITIES
- Develop, maintain, and improve dashboards, scorecards, and performance reporting for GWS leadership and business stakeholders.
- Collect, analyze, and interpret data from enterprise systems, including Tririga (IWMS), EHS platforms, data lake/warehouse, SAP, and other business applications.
- Provide recurring and ad hoc reporting to support operational, financial, compliance, and strategic objectives.
- Monitor data quality and consistency across systems and partner with stakeholders to resolve discrepancies and improve data integrity.
- Identify trends, risks, and opportunities through analysis of operational and business performance data.
- Support the development and implementation of AI, automation, and predictive analytics solutions to improve efficiency and reduce manual work.
- Partner with stakeholders to gather requirements and translate them into reporting, analytics, and AI-enabled solutions.
- Create and maintain data models, reporting standards, and documentation to support consistency, scalability, and governance.
- Train and support users on reporting tools, dashboards, AI capabilities, and data interpretation.
- Monitor adoption and effectiveness of reporting and AI solutions and recommend continuous improvements.
- Act as a subject matter expert for reporting, analytics, and AI-related requests and initiatives.
- Support special projects involving data visualization, business intelligence, process optimization, and digital transformation.
- Collaborate with IT, Digital Transformation, Facilities Operations, Real Estate, EHS, Finance, and other teams to support enterprise reporting requirements.
- Provide recommendations on leveraging data, analytics, automation, and AI to improve business processes and operational performance.
BASIC QUALIFICATIONS
- Minimum of 12 years of related experience with a Bachelor’s degree; or 8 years and a Master’s degree; or equivalent experience.
- 5+ years of experience in reporting, analytics, business intelligence, data management, or a related field.
- 5+ years of experience working with enterprise reporting tools and dashboards.
- Experience working with Power BI, Tableau, SQL, Excel, or similar reporting and analytics platforms.
- Experience supporting business process improvement initiatives.
- Experience with AI technologies, automation tools, Microsoft Copilot & Cowork, Power Platform, or machine learning solutions preferred.
- Project management experience a plus.
- Experience with IWMS, SAP, enterprise solutions, data lake/warehouses, or facilities management systems preferred.
PREFERRED QUALIFICATIONS
- Comfortable in a fast-paced, constantly changing environment.
- Comfortable working independently and as part of a team.
- Impeccable attention to detail.
- Strong analytical and problem-solving skills.
- Ability to transform complex data into meaningful business insights.
- Experience creating executive-level dashboards and reporting solutions.
- Strong understanding of data governance, data quality, and reporting best practices.
- Experience with data visualization and business intelligence tools.
- Proficient in Excel, Power BI, Microsoft Office applications, and related reporting tools.
- Working knowledge of AI, automation, and digital transformation concepts.
- Proven experience in operations, business process improvement, and performance measurement.
- Ability to manage multiple priorities and meet deadlines while maintaining high-quality deliverables.
OUR COMMITMENT
We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.
Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.
Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories – On-site Flex and Virtual Flex. ‘On-site Flex’ you’ll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. ‘Virtual Flex’ you’ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.
OUR PERKS AND BENEFITS
At Lam, our people make amazing things possible. That’s why we invest in you throughout the phases of your life with a comprehensive set of outstanding benefits.
AI Engineer Job Roles in Oregon
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Search AI Engineer Jobs in OregonAI Engineer Jobs in Oregon: Frequently Asked Questions
Which companies in Oregon sponsor visas for AI engineers?
Intel is one of Oregon's largest H-1B visa sponsors overall, with significant engineering operations in Hillsboro. Nike's technology division in Beaverton, Daimler Trucks North America, and a growing number of Portland-based AI startups also have sponsorship track records. Larger tech employers with established HR and legal infrastructure are generally more equipped to manage the sponsorship process than smaller firms.
Which visa types are most common for AI engineer roles in Oregon?
The H-1B is the most common visa for AI engineers in Oregon, as software and machine learning roles typically qualify as specialty occupations requiring at least a bachelor's degree in a directly related field. Candidates with extraordinary ability may qualify for the O-1A. Australians working in AI roles may also be eligible for the E-3 visa, which has no lottery and is available year-round.
Which cities in Oregon have the most AI engineer sponsorship jobs?
Portland accounts for the majority of AI engineering sponsorship activity in Oregon, driven by its concentration of technology companies and startups. Hillsboro, home to Intel's large campus and part of the broader Silicon Forest region, is a significant secondary hub. Beaverton and Corvallis, where Oregon State University contributes a pipeline of engineering talent, also see meaningful employer sponsorship activity.
How to find ai engineer visa sponsorship jobs in Oregon?
Migrate Mate filters job listings specifically to roles where employers have indicated visa sponsorship availability, making it easier to identify AI engineer opportunities in Oregon without sorting through positions that exclude international candidates. You can filter by state and role type to focus on Oregon-based postings. Checking employers' H-1B disclosure data through the Department of Labor's OFLC database can also help you verify whether a specific Oregon company has sponsored similar roles historically.
Are there any Oregon-specific considerations for AI engineers pursuing visa sponsorship?
Oregon follows federal prevailing wage requirements, so employers must pay H-1B holders the higher of the actual or prevailing wage for the role and location. Portland's wage levels for AI engineering roles are benchmarked separately from rural Oregon, which affects what employers must offer. Oregon State University and the University of Oregon also generate OPT pipelines that some local employers are already familiar with, which can ease the sponsorship conversation.
What is the prevailing wage for sponsored ai engineer jobs in Oregon?
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.