Software Engineer AI Visa Sponsorship Jobs in California
California leads the U.S. in AI-focused software engineering hiring, with major employers like Google, Meta, Apple, and OpenAI concentrated in the Bay Area, and a growing cluster of AI startups in Los Angeles. Most roles require deep experience in machine learning frameworks, large language models, or AI infrastructure, and many companies have established H-1B visa sponsorship programs.
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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.
Software Engineer AI Job Roles in California
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Search Software Engineer AI Jobs in CaliforniaSoftware Engineer AI Jobs in California: Frequently Asked Questions
Which companies sponsor visas for software engineer AIs in California?
California's largest H-1B sponsors for AI software engineering roles include Google, Meta, Apple, Amazon, Microsoft, and Nvidia, all with substantial Bay Area or Los Angeles offices. AI-native companies like OpenAI, Anthropic, Scale AI, and Databricks have also consistently sponsored H-1B and O-1 visa petitions for engineers working on machine learning systems, model training infrastructure, and applied AI products.
Which visa types are most common for software engineer AI roles in California?
The H-1B is the most common visa for AI software engineers in California, as these roles typically require at least a bachelor's degree in computer science, machine learning, or a closely related field, meeting the specialty occupation standard. Engineers with exceptional research records or published work may qualify for the O-1A. Australians may pursue the E-3 visa, which has no lottery and is available year-round.
Which cities in California have the most software engineer AI sponsorship jobs?
San Francisco and the broader Bay Area, including San Jose, Mountain View, and Palo Alto, account for the largest share of AI software engineering sponsorship jobs in California. Los Angeles has grown significantly as a secondary hub, driven by companies like Snap, SpaceX, and a dense cluster of generative AI startups. San Diego also has relevant hiring, particularly in defense-adjacent AI and biomedical AI.
How to find software engineer ai visa sponsorship jobs in California?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to find AI software engineering roles in California without sorting through positions that don't sponsor. You can search by job title and filter to California-based openings, focusing on companies with a track record of H-1B or O-1 filings in machine learning, NLP, computer vision, and related AI specializations.
Are there state-specific considerations for AI software engineers seeking sponsorship in California?
California's prevailing wage requirements for H-1B roles are among the highest in the U.S., set by the Department of Labor based on the San Francisco or Los Angeles metropolitan area, which directly affects the minimum wage your employer must certify on the Labor Condition Application. Additionally, California's large university pipeline from UC Berkeley, Stanford, and UCLA means competition for sponsored AI roles is significant, and employers often prioritize candidates with graduate-level AI research experience.
What is the prevailing wage for sponsored software engineer ai 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.