AI Engineer Visa Sponsorship Jobs in Colorado
Colorado's AI engineer job market centers on Denver's growing tech corridor, Boulder's research-driven startups, and major employers like Google, Palantir, and Arrow Electronics. The state's proximity to national labs and strong university pipelines from CU Boulder and Colorado State make it an active market for international AI engineers seeking visa sponsorship.
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Get Access To All JobsINTRODUCTION
The application window will be open until at least April 23, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Austin, TX, USA; Atlanta, GA, USA; Boulder, CO, USA; Chicago, IL, USA.
ABOUT THE JOB
The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.
As a Cloud AI Engineer, you will design and implement machine learning solutions for customer use cases, leveraging core Google products including TensorFlow, DataFlow, and Vertex AI. You will work with customers to identify opportunities to apply machine learning in their business, and travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. Additionally, you will work closely with Product Management and Product Engineering to build and constantly drive excellence in our products.
In this role, you are the Google Engineer working with Google's largest and most ambitious Cloud customers. Together with the team, you will support customer implementation of Google Cloud products through architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring, and much more.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
MINIMUM QUALIFICATIONS:
- Bachelor's degree in Computer Science, or equivalent practical experience.
- 8 years of experience building machine learning solutions and working with technical customers.
- Experience designing cloud enterprise solutions and supporting customer projects to completion.
- Experience coding in one or more general purpose languages (e.g., Python, Java, Go, C or C++) including data structures, algorithms, and software design.
PREFERRED QUALIFICATIONS:
- Experience working with recommendation engines, data pipelines, or distributed machine learning.
- Experience with deep learning frameworks (e.g., TensorFlow, PyTorch, XGBoost).
- Understanding of the auxiliary practical concerns in production machine learning systems.
- Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools and environments (e.g., Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce, Flume).
Responsibilities
- Be a trusted technical advisor to customers and solve complex machine learning challenges.
- Coach customers on the practical challenges in machine learning systems such as feature extraction and feature definition, data validation, monitoring, and management of features and models.
- Work with customers, partners, and Google product teams to deliver tailored solutions into production.
- Create and deliver best practice recommendations, tutorials, blog articles, and sample code.
- Travel up to 30% for in-region for meetings, technical reviews, and onsite delivery activities.
The US base salary range for this full-time position is $183,000-$265,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or 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
The application window will be open until at least April 23, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Austin, TX, USA; Atlanta, GA, USA; Boulder, CO, USA; Chicago, IL, USA.
ABOUT THE JOB
The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.
As a Cloud AI Engineer, you will design and implement machine learning solutions for customer use cases, leveraging core Google products including TensorFlow, DataFlow, and Vertex AI. You will work with customers to identify opportunities to apply machine learning in their business, and travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. Additionally, you will work closely with Product Management and Product Engineering to build and constantly drive excellence in our products.
In this role, you are the Google Engineer working with Google's largest and most ambitious Cloud customers. Together with the team, you will support customer implementation of Google Cloud products through architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring, and much more.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
MINIMUM QUALIFICATIONS:
- Bachelor's degree in Computer Science, or equivalent practical experience.
- 8 years of experience building machine learning solutions and working with technical customers.
- Experience designing cloud enterprise solutions and supporting customer projects to completion.
- Experience coding in one or more general purpose languages (e.g., Python, Java, Go, C or C++) including data structures, algorithms, and software design.
PREFERRED QUALIFICATIONS:
- Experience working with recommendation engines, data pipelines, or distributed machine learning.
- Experience with deep learning frameworks (e.g., TensorFlow, PyTorch, XGBoost).
- Understanding of the auxiliary practical concerns in production machine learning systems.
- Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools and environments (e.g., Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce, Flume).
Responsibilities
- Be a trusted technical advisor to customers and solve complex machine learning challenges.
- Coach customers on the practical challenges in machine learning systems such as feature extraction and feature definition, data validation, monitoring, and management of features and models.
- Work with customers, partners, and Google product teams to deliver tailored solutions into production.
- Create and deliver best practice recommendations, tutorials, blog articles, and sample code.
- Travel up to 30% for in-region for meetings, technical reviews, and onsite delivery activities.
The US base salary range for this full-time position is $183,000-$265,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or 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.
AI Engineer Job Roles in Colorado
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Search AI Engineer Jobs in ColoradoAI Engineer Jobs in Colorado: Frequently Asked Questions
Which companies in Colorado sponsor visas for AI engineers?
Palantir Technologies, headquartered in Denver, is one of Colorado's most active H-1B sponsors for AI and data engineering roles. Google's Boulder office, Lockheed Martin's aerospace AI division, and Arrow Electronics also appear regularly in Department of Labor LCA disclosure data for AI-related petitions. Several Denver-based healthtech and fintech startups have sponsored H-1B and O-1 visas for machine learning and AI infrastructure engineers as well.
Which visa types are most common for AI engineer roles in Colorado?
The H-1B is the most common visa category for AI engineers in Colorado, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, machine learning, or a related field. O-1A visas are an option for engineers with demonstrated exceptional ability, such as published research or patents. Candidates with Canadian or Mexican citizenship may also qualify for TN status under the 'Computer Systems Analyst' or 'Engineer' categories.
Which cities in Colorado have the most AI engineer visa sponsorship jobs?
Denver is the primary hub, with the highest concentration of tech employers and AI-focused companies filing LCA petitions in the state. Boulder follows closely, driven by university spinouts, research institutions, and companies like Google with a significant local presence. Colorado Springs has a smaller but growing cluster of AI roles tied to defense contractors and cybersecurity firms. Remote-first roles sponsored by Colorado-based companies are also increasingly common across the state.
How to find ai engineer visa sponsorship jobs in Colorado?
Migrate Mate is a job board built specifically for international candidates, filtering AI engineer roles in Colorado by visa sponsorship availability. Because many Colorado employers list roles without explicitly mentioning sponsorship, using a platform like Migrate Mate that screens for sponsorship history saves significant time. Filtering by Denver and Boulder, where LCA filing activity is highest, tends to surface the strongest opportunities for AI engineers seeking H-1B or O-1 sponsorship.
Are there state-specific considerations for AI engineers pursuing sponsorship in Colorado?
Colorado's Equal Pay for Equal Work Act requires employers to disclose compensation ranges in job postings, which gives AI engineer candidates useful context when evaluating offers relative to the prevailing wage the employer must certify on the Labor Condition Application. CU Boulder and Colorado State University produce a consistent pipeline of AI and ML graduates, meaning Colorado employers are familiar with sponsoring OPT and H-1B transitions. The state's concentration of federal contractors also means some roles may require security clearances, which can complicate sponsorship for non-citizens.
What is the prevailing wage for sponsored ai engineer jobs in Colorado?
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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