AI Solutions Engineer Visa Sponsorship Jobs in California
California leads U.S. hiring for AI Solutions Engineers, with major employers concentrated in the San Francisco Bay Area, Los Angeles, and San Diego. Companies like Google, Salesforce, Adobe, and a dense network of AI-focused startups regularly sponsor H-1B visa and other work visas for this role, making it one of the most active states for international candidates in this field.
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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.
AI Solutions Engineer Job Roles in California
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Search AI Solutions Engineer Jobs in CaliforniaAI Solutions Engineer Jobs in California: Frequently Asked Questions
Which companies sponsor visas for AI Solutions Engineers in California?
Large technology employers such as Google, Salesforce, Adobe, Nvidia, and Cisco are among the most consistent H-1B sponsors for AI Solutions Engineers in California. Bay Area AI startups and enterprise software companies also file a significant volume of sponsorship petitions. Reviewing Department of Labor LCA disclosure data shows California-based employers collectively account for a disproportionately large share of AI-related H-1B filings nationwide.
Which visa types are most common for AI Solutions Engineers in California?
The H-1B is the most common visa for AI Solutions Engineers in California, 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. Candidates already in the U.S. on F-1 OPT or STEM OPT frequently transition to H-1B sponsorship. The O-1A is an option for those with documented research publications, patents, or industry recognition in AI.
Which cities in California have the most AI Solutions Engineer sponsorship jobs?
The San Francisco Bay Area, including San Jose, Mountain View, and San Francisco itself, concentrates the largest share of AI Solutions Engineer sponsorship opportunities in California. Los Angeles has grown significantly as an AI hiring hub, driven by media-tech and enterprise software companies. San Diego also sees consistent demand, particularly from defense-adjacent AI firms and life sciences technology companies sponsoring international engineers.
How to find ai solutions engineer visa sponsorship jobs in California?
Migrate Mate filters AI Solutions Engineer roles in California specifically to employers with a documented history of visa sponsorship, saving you from applying to positions where sponsorship is unlikely. Search by role and state on Migrate Mate to see active listings, employer sponsorship patterns, and role-specific details relevant to international candidates pursuing work authorization in California.
Are there any California-specific considerations for AI Solutions Engineers seeking visa sponsorship?
California's prevailing wage requirements for H-1B roles are among the highest in the country given the state's competitive technology market, meaning sponsored positions typically reflect strong compensation benchmarks set by the Department of Labor. University pipelines from UC Berkeley, Stanford, UCLA, and UC San Diego feed a large pool of international AI talent, which means sponsored roles in California attract highly competitive applicant pools and employers tend to move quickly through their hiring processes.
What is the prevailing wage for sponsored ai solutions 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.