Applied AI Engineer Visa Sponsorship Jobs in California
Applied AI engineer roles in California are concentrated at companies like Google, Meta, Apple, and a dense network of AI startups across San Francisco, the South Bay, and Los Angeles. California consistently accounts for a large share of H-1B visa filings for AI engineering positions, making it one of the most active states for visa sponsorship in this field.
Find Applied AI Engineer JobsOverview
Showing 5 of 2,881+ Applied AI Engineer Jobs in California with Visa Sponsorship
See all 2,881+ Applied AI Engineer Jobs in California with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Applied AI Engineer Jobs in California with Visa Sponsorship.
Get Access To All JobsWe are so glad you are interested in joining Sutter Health!
Organization
SHSO-Sutter Health System Office-Valley
Position Overview
Leads Sutter Health's artificial intelligence (AI) governance program. Sets the target operating model, policy framework, and program priorities that shape how AI governance is performed at Sutter Health and how it evolves within a rapidly changing regulatory, technical, and organizational landscape. Leads a team of AI governance analysts and operates the program directly alongside them — leading high-complexity reviews, drafting policy and standards, and making day-to-day prioritization decisions across a high-volume queue of AI use cases. Convenes and aligns the many groups that must participate in AI governance and partners closely with data science and applied AI leadership to integrate governance requirements across the model development and monitoring lifecycle.
Education
Equivalent experience will be accepted in lieu of the required degree or diploma.
* Bachelor's degree in Health Informatics, Computer Science, Information Management, Public Health, Health Administration, Law, or related field.
Typical Experience
* 5 recent relevant experience
Skills And Knowledge
Experience in healthcare data governance, AI/ML governance, model risk management, or regulatory compliance.
Experience leading or coordinating cross-functional governance, risk, or compliance programs.
Direct experience supporting AI/ML or advanced analytics programs.
Strong organization and prioritization skills across a large, varied portfolio of work and competing demands.
Demonstrated ability to convene, align, and drive decisions among diverse stakeholder groups, including clinical, technical, legal, privacy, security, compliance, and operational.
Working knowledge of machine learning and generative AI concepts, the model development lifecycle, and common failure modes (bias, drift, hallucination, data leakage).
Possess an understanding of technical concepts related to AI observability, including performance instrumentation for deployed models; familiarity with advanced monitoring techniques such as Large Language Model (LLM)-as-a-judge evaluation, automated output quality assessment, and monitoring of agentic AI workflows, including tool use, multi-step reasoning, and autonomous decision chains.
Familiarity with AI governance frameworks (National Institute of Standards and Technology Artificial Intelligence Risk Management Framework [NIST AI RMF], Coalition for Health AI [CHAI] Assurance Standards, International Organization for Standardization/International Electrotechnical Commission [ISO/IEC] 42001), healthcare regulations (Health Insurance Portability and Accountability Act [HIPAA], Food and Drug Administration [FDA] Software as a Medical Device [SaMD] guidance, Office of the National Coordinator for Health Information Technology [ONC] Health Data, Technology, and Interoperability [HTI-1] rule), and emerging state-level AI regulation.
Demonstrated ability to design and operate governance processes that are practical, auditable, and minimize friction for delivery teams.
Strong facilitation and written communication; able to lead committees and translate complex AI risk concepts for executive, clinical, and front-line audiences.
Demonstrated ability to manage team capacity, prioritization, and delivery across a high-volume, multi-stakeholder portfolio.
Experience coaching and developing staff in both technical and governance/regulatory domains.
These Principal Accountabilities, Requirements and Qualifications are not exhaustive but are merely the most descriptive of the current job. Management reserves the right to revise the job description or require that other tasks be performed when the circumstances of the job change (for example, emergencies, staff changes, workload, or technical development).
Job Shift
Days
Schedule
Full Time
Days Of The Week
Monday - Friday
Weekend Requirements
None
Benefits
Yes
Unions
No
Position Status
Exempt
Weekly Hours
40
Employee Status
Regular
Sutter Health is an equal opportunity employer EOE/M/F/Disability/Veterans.
Pay Range is $156,332.80 to $234,478.40 / annual salary
The compensation range may vary based on the geographic location where the position is filled. Total compensation considers multiple factors, including, but not limited to a candidate’s experience, education, skills, licensure, certifications, departmental equity, training, and organizational needs. Base pay is only one component of Sutter Health’s comprehensive total rewards program. Eligible positions also include a comprehensive benefits package.
We are so glad you are interested in joining Sutter Health!
Organization
SHSO-Sutter Health System Office-Valley
Position Overview
Leads Sutter Health's artificial intelligence (AI) governance program. Sets the target operating model, policy framework, and program priorities that shape how AI governance is performed at Sutter Health and how it evolves within a rapidly changing regulatory, technical, and organizational landscape. Leads a team of AI governance analysts and operates the program directly alongside them — leading high-complexity reviews, drafting policy and standards, and making day-to-day prioritization decisions across a high-volume queue of AI use cases. Convenes and aligns the many groups that must participate in AI governance and partners closely with data science and applied AI leadership to integrate governance requirements across the model development and monitoring lifecycle.
Education
Equivalent experience will be accepted in lieu of the required degree or diploma.
* Bachelor's degree in Health Informatics, Computer Science, Information Management, Public Health, Health Administration, Law, or related field.
Typical Experience
* 5 recent relevant experience
Skills And Knowledge
Experience in healthcare data governance, AI/ML governance, model risk management, or regulatory compliance.
Experience leading or coordinating cross-functional governance, risk, or compliance programs.
Direct experience supporting AI/ML or advanced analytics programs.
Strong organization and prioritization skills across a large, varied portfolio of work and competing demands.
Demonstrated ability to convene, align, and drive decisions among diverse stakeholder groups, including clinical, technical, legal, privacy, security, compliance, and operational.
Working knowledge of machine learning and generative AI concepts, the model development lifecycle, and common failure modes (bias, drift, hallucination, data leakage).
Possess an understanding of technical concepts related to AI observability, including performance instrumentation for deployed models; familiarity with advanced monitoring techniques such as Large Language Model (LLM)-as-a-judge evaluation, automated output quality assessment, and monitoring of agentic AI workflows, including tool use, multi-step reasoning, and autonomous decision chains.
Familiarity with AI governance frameworks (National Institute of Standards and Technology Artificial Intelligence Risk Management Framework [NIST AI RMF], Coalition for Health AI [CHAI] Assurance Standards, International Organization for Standardization/International Electrotechnical Commission [ISO/IEC] 42001), healthcare regulations (Health Insurance Portability and Accountability Act [HIPAA], Food and Drug Administration [FDA] Software as a Medical Device [SaMD] guidance, Office of the National Coordinator for Health Information Technology [ONC] Health Data, Technology, and Interoperability [HTI-1] rule), and emerging state-level AI regulation.
Demonstrated ability to design and operate governance processes that are practical, auditable, and minimize friction for delivery teams.
Strong facilitation and written communication; able to lead committees and translate complex AI risk concepts for executive, clinical, and front-line audiences.
Demonstrated ability to manage team capacity, prioritization, and delivery across a high-volume, multi-stakeholder portfolio.
Experience coaching and developing staff in both technical and governance/regulatory domains.
These Principal Accountabilities, Requirements and Qualifications are not exhaustive but are merely the most descriptive of the current job. Management reserves the right to revise the job description or require that other tasks be performed when the circumstances of the job change (for example, emergencies, staff changes, workload, or technical development).
Job Shift
Days
Schedule
Full Time
Days Of The Week
Monday - Friday
Weekend Requirements
None
Benefits
Yes
Unions
No
Position Status
Exempt
Weekly Hours
40
Employee Status
Regular
Sutter Health is an equal opportunity employer EOE/M/F/Disability/Veterans.
Pay Range is $156,332.80 to $234,478.40 / annual salary
The compensation range may vary based on the geographic location where the position is filled. Total compensation considers multiple factors, including, but not limited to a candidate’s experience, education, skills, licensure, certifications, departmental equity, training, and organizational needs. Base pay is only one component of Sutter Health’s comprehensive total rewards program. Eligible positions also include a comprehensive benefits package.
Applied AI Engineer Job Roles in California
See all 2,881+ Applied AI Engineer Jobs in California
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search Applied AI Engineer Jobs in CaliforniaApplied AI Engineer Jobs in California: Frequently Asked Questions
Which companies in California sponsor visas for applied AI engineers?
Large technology employers including Google, Meta, Apple, Microsoft, and Salesforce regularly sponsor H-1B visas for applied AI engineers in California. AI-focused companies such as Anthropic, OpenAI, and Scale AI, headquartered in San Francisco, also have established sponsorship track records. Enterprise cloud and semiconductor companies in the South Bay, including NVIDIA and Adobe, are consistent sponsors for this role category.
Which visa types are most common for applied AI engineer roles in California?
The H-1B is the most common visa for applied AI engineers in California, given that the role typically requires a bachelor's degree or higher in computer science, machine learning, or a related field, which satisfies the specialty occupation standard. F-1 OPT and STEM OPT extensions are common entry points for recent graduates before H-1B sponsorship. Some senior researchers also qualify for the O-1A based on extraordinary ability in AI.
Which cities in California have the most applied AI engineer sponsorship jobs?
San Francisco and the surrounding Bay Area, including San Jose, Mountain View, and Palo Alto, account for the highest concentration of applied AI engineer sponsorship jobs in California. Los Angeles has grown significantly as a secondary hub, driven by entertainment technology, healthcare AI, and a expanding startup ecosystem. San Diego also has a smaller but active cluster tied to biotech AI and defense technology companies.
How to find applied ai engineer visa sponsorship jobs in California?
Migrate Mate filters job listings specifically by visa sponsorship availability, so you can search applied AI engineer roles in California without sorting through positions that don't offer sponsorship. The platform is built for international candidates, meaning listings are curated for roles where employers have a demonstrated history of sponsoring work visas. Filtering by California and the applied AI engineer role category gives you a targeted list to work from.
Are there any California-specific considerations for applied AI engineers seeking visa sponsorship?
California's prevailing wage requirements under the H-1B program are among the higher thresholds in the country, reflecting the state's cost of living and competitive technology job market. Many California universities, including UC Berkeley, Stanford, and UCLA, feed directly into local AI engineering pipelines, and some employers specifically recruit from these institutions for sponsored roles. California also prohibits non-compete agreements, which can make it easier to move between sponsoring employers after gaining initial work authorization.
What is the prevailing wage for sponsored applied ai engineer jobs in California?
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.