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Ai In Education Jobs in San Ramon, CA (NOW HIRING)

Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel ... Evaluate AI models on visual document understanding and instruction-following in the Education ...

Success in this role requires both creative vision and the technical ability to build and validate ... education, experience, knowledge and skills. At HP IQ, we offer a competitive and comprehensive ...

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Ai In Education information

See San Ramon, CA salary details

$66.5K

$80.1K

$95K

How much do ai in education jobs pay per year?

As of Aug 23, 2026, the average yearly pay for ai in education in San Ramon, CA is $80,088.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,600.00 and $86,000.00 per year, depending on experience, location, and employer.

What is AI in education?

AI in education refers to the use of artificial intelligence technologies to enhance teaching, learning, and administrative processes in educational settings. This includes personalized learning platforms, intelligent tutoring systems, automated grading, and data-driven insights to support student progress. AI can help educators identify students' strengths and weaknesses, provide tailored resources, and improve overall learning outcomes. It also streamlines administrative tasks, allowing teachers to focus more on instruction and student engagement.

How does an AI in Education specialist typically collaborate with teachers and curriculum designers?

AI in Education specialists often work closely with teachers and curriculum designers to understand classroom needs and learning goals. They provide insights on integrating AI tools that personalize learning experiences, automate administrative tasks, and analyze student performance data. Frequent communication and collaborative workshops help ensure that AI solutions are practical, user-friendly, and aligned with educational standards. This teamwork not only enhances the learning process but also supports educators in adopting new technologies with confidence.

What are the key skills and qualifications needed to thrive as an AI in Education specialist, and why are they important?

To thrive as an AI in Education Specialist, you need expertise in educational theory, instructional design, and a strong foundation in artificial intelligence or machine learning, often supported by a degree in education, computer science, or a related field. Familiarity with learning management systems (LMS), AI-powered educational tools, and programming languages such as Python is typically required. Strong communication, problem-solving, and adaptability are vital soft skills for collaborating with educators and designing impactful learning solutions. These skills ensure the effective integration of AI technologies in educational environments, enhancing student learning outcomes and supporting innovative teaching practices.

What is the difference between Ai In Education vs Educational Data Analyst?

AspectAi In EducationEducational Data Analyst
Required CredentialsDegree in Education, Computer Science, or related fields; knowledge of AI toolsDegree in Education, Statistics, Data Science, or related fields; proficiency in data analysis
Work EnvironmentEducational institutions, EdTech companies, online platformsSchools, districts, research organizations, EdTech firms
Industry UsageDeveloping AI tools for personalized learning, adaptive assessmentsAnalyzing educational data to improve learning outcomes and policies
Common Search/ComparisonYesYes

While both roles involve working within the education sector, Ai In Education focuses on developing and implementing AI technologies to enhance learning experiences. Educational Data Analysts primarily analyze educational data to inform decisions and improve educational strategies. Both roles require a background in education and data or AI skills, but their core functions differ in application and focus.

What are popular job titles related to Ai In Education jobs in San Ramon, CA?

For Ai In Education jobs in San Ramon, CA, the most frequently searched job titles are:

What job categories do people searching Ai In Education jobs in San Ramon, CA look for?

The top searched job categories for Ai In Education jobs in San Ramon, CA are:

What cities near San Ramon, CA are hiring for Ai In Education jobs?

Cities near San Ramon, CA with the most Ai In Education job openings:

Infographic showing various Ai In Education job openings in San Ramon, CA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, and 3% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $80,088 per year, or $38.5 per hour.

VP/Chief Health AI Officer (CHAIO)

University of California San Francisco

San Francisco, CA • On-site

Full-time

Medical, Dental, Vision

Posted 8 days ago


University Of California San Francisco rating

7.8

Company rating: 7.8 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

232nd of 621 rated colleges and universities


Job description

The Vice President and Chief Health AI Officer (CHAIO) serves as the senior physician executive responsible for establishing and advancing the health system strategic vision, governance framework, and operational execution of Artificial Intelligence (AI) across UCSF Health. Reporting directly to the Chief Information Officer for Health (Health CIO), the CHAIO serves as a key member of the Health IT executive leadership team and partners closely with clinical, operational, research, academic, and technology leaders to accelerate the safe, ethical, and effective adoption of AI in support of UCSF Health's mission of exceptional patient care, education, research, and innovation. Working in close partnership with the UCSF Schools of Medicine, Nursing, Pharmacy, and Dentistry, the CHAIO helps ensure that Health AI strategies support the educational mission by preparing current and future healthcare professionals to effectively, safely, and ethically incorporate AI into clinical practice while recognizing the unique needs of learners participating in patient care and clinical training environments. The incumbent is a licensed physician with recognized expertise in clinical practice, healthcare operations, informatics, and Artificial Intelligence, serving as the primary executive advisor to UCSF Health leadership on the clinical application of AI technologies.

The CHAIO is responsible for developing and executing a comprehensive enterprise AI strategy that aligns with organizational priorities and advances clinical quality, patient safety, operational efficiency, workforce effectiveness, and financial stewardship. This executive serves as the health system's primary authority for AI strategy, standards, governance, and implementation, ensuring that AI initiatives deliver measurable value and are aligned with UCSF Health's strategic objectives.

The CHAIO leads the development of the UCSF Health enterprise AI ecosystem, including the technology infrastructure, data assets, governance processes, and organizational capabilities necessary to enable responsible and scalable AI adoption. Working collaboratively with Health IT, Informatics, Data and Analytics, Infrastructure, Cybersecurity, Compliance, Legal, Risk Management, and Clinical Operations, the CHAIO ensures that AI solutions are secure, interoperable, compliant with applicable regulations, and aligned with industry best practices and ethical principles.

This position is accountable for establishing and facilitating AI governance structures, including executive committees, review boards, and decision-making frameworks that oversee prioritization, evaluation, implementation, and ongoing monitoring of AI technologies. The CHAIO develops policies and standards that promote responsible AI use, emphasizing transparency, fairness, accountability, explainability, privacy, and security while mitigating risks associated with bias, discrimination, and inappropriate use of AI technologies.  While collaborating with Health System leadership, the CHAIO hold authority to prioritize, approve, or halt AI initiatives, including authority to pause unsafe clinical AI. 

The CHAIO collaborates with health system leadership to identify, prioritize, and implement AI-enabled solutions that improve patient outcomes, enhance clinician and staff experiences, optimize operational performance, and support organizational transformation. The incumbent partners with business, clinical, and informatics leaders to translate complex organizational challenges into practical AI-driven solutions and ensures alignment between enterprise AI investments and institutional priorities. 

The CHAIO is the executive owner for Health AI strategic partnerships, including strategy, evaluation, selection, governance and value realization of strategic third-party AI vendor relationships and co-development partnerships.  The CHAIO helps work with operational and IT leaders to manage the lifecycles of these operational deployments.  Where AI is embedded in or adjacent to enterprise application platforms, the CHAIO will collaborate with technology and business leaders to prioritize AI strategy, model selection, and clinical performance of those capabilities.

The CHAIO also partners with clinical education leaders to promote Health AI literacy, responsible AI competencies, and workforce readiness across the organization. The incumbent ensures that Health AI implementations appropriately account for the educational environment, supporting trainees during clinical rotations while preserving patient safety, educational quality, appropriate supervision, and equitable learning opportunities.

As the executive leader for Health AI, the CHAIO represents UCSF Health in governance activities related to enterprise data, analytics, infrastructure architecture, cybersecurity, and emerging technologies. The incumbent works closely with UCSF and UC system partners, clinical research leaders, external healthcare organizations, industry collaborators, academic institutions, and technology vendors to advance UCSF Health's leadership position in AI innovation and establish strategic partnerships that accelerate organizational capabilities. The CHAIO collaborates with clinical research leadership to facilitate the responsible application of Health AI in clinical trials, translational science, real-world evidence generation, and learning health system initiatives, ensuring that AI-enabled research aligns with institutional governance, regulatory requirements, and ethical standards.

The CHAIO serves as Co-Chair of the UCSF Health Converge AI Accelerator Program, providing strategic direction, establishing program priorities, evaluating opportunities, and aligning accelerator initiatives with health system objectives. The incumbent collaborates with executive leadership, academic partners, technology companies, AI startups, venture capital organizations, and innovation stakeholders across the San Francisco Bay Area to identify and advance high-value AI initiatives. The CHAIO leverages UCSF's unique position within one of the world's leading AI and technology ecosystems to cultivate strategic relationships that accelerate innovation, facilitate responsible technology adoption, and strengthen UCSF Health's leadership in healthcare AI.

The CHAIO also serves as a key liaison, with the opportunity to hold a faculty appointment, to the UCSF Division of Clinical Informatics and Technology (DoC-IT) and other institutional partners to ensure effective collaboration and alignment across AI-related programs and initiatives.  

The CHAIO continuously evaluates the rapidly evolving AI landscape, emerging technologies, regulatory developments, and industry trends to ensure UCSF Health remains at the forefront of innovation. This executive assesses the feasibility, value, and risk of emerging AI capabilities and advises senior leadership on strategic investments and adoption opportunities that support long-term organizational growth and competitive advantage. The CHAIO serves as a visible ambassador for UCSF Health within the national Health AI community (particularly in the Bay Area), developing trusted relationships with technology leaders, entrepreneurs, venture investors, academic collaborators, and public-sector organizations to foster collaboration, influence emerging healthcare AI practices, and identify opportunities that advance UCSF Health's strategic priorities.

The CHAIO is responsible for developing the organizational capabilities necessary to successfully scale AI across the enterprise. This includes building and leading high-performing multidisciplinary teams, attracting and developing AI talent, establishing strategic partnerships, and leveraging external expertise when appropriate. The incumbent fosters a culture of innovation, collaboration, continuous learning, and responsible AI adoption throughout the organization.

The CHAIO establishes measurable performance indicators and outcomes for AI initiatives and leverages enterprise data and analytics capabilities to evaluate effectiveness, track value realization, and communicate progress to executive leadership and key stakeholders. Through strategic leadership and operational oversight, the CHAIO ensures that AI investments produce measurable improvements in patient care, clinical outcomes, operational performance, workforce productivity, clinical research and innovation, research advancement, and organizational effectiveness.

Overall, the Vice President and Chief Health AI Officer provides visionary leadership and enterprise-wide accountability for the responsible adoption and advancement of Artificial Intelligence at UCSF Health, serving as the strategic bridge between people, processes, data, technology, and innovation to transform healthcare delivery and improve the health of the communities UCSF serves.

Department Overview 

The VP/Chief Health AI Officer (CHAIO)will report to the UCSF Health Chief Information Officer who is responsible as the primary executive leader of information technology at UCSF Health (referred to as UCSF Health IT).  This involves certain direct reporting responsibilities including administrative applications, IT infrastructure, customer support, data and analytics, IT security, IT program management and IT Governance for UCSF.  This organization is responsible to provide the foundational IT and data and analytics necessary to support the core mission areas and administrative operations at UCSF.  UCSF also has a substantial departmental IT and analytics presence with which the UCSF IT organization collaborates closely through formal and information structures. This construct enables close alignment with specialized departmental needs while promoting leverage of core information technology assets and capabilities.  A significant shift in operating model is under way at UCSF which will leave the distributed model in place but align IT, departmental and other functional areas within cross-functional teams focused on the technology and innovation needs of key business units and departments at UCSF. This transformation will evolve over the next 3 years and represents an important aspect of the UCSF drive to innovate using data and technology as key enablers of improved patient, student, faculty, physician and researcher experience.

Knowledge, Skills and AbilitiesReq / PrefRecognized expertise in clinical practice, healthcare operations, clinical informatics, and the responsible application of Artificial Intelligence to improve patient care and health system performance.ReqDemonstrated ability to develop and execute enterprise clinical AI strategies aligned with organizational priorities, patient outcomes, and healthcare transformation.ReqExpert knowledge of AI governance, clinical safety, AI ethics, regulatory considerations, privacy, bias mitigation, and responsible AI implementation in healthcare.ReqDemonstrated ability to evaluate, prioritize, and oversee clinical AI initiatives across multiple specialties and operational settings while balancing innovation, patient safety, and organizational risk.ReqExceptional executive leadership, relationship-building, and influence skills with the ability to engage physicians, clinicians, executives, researchers, educators, and technology leaders across a complex academic health system.ReqDemonstrated success leading multidisciplinary teams composed of physicians, informaticists, operational leaders, data scientists, technology professionals, and clinical staff.ReqOutstanding verbal and written communication skills, including the ability to communicate complex AI concepts, clinical risks, and strategic recommendations to executive leadership, governing bodies, and diverse stakeholder groups.ReqProven ability to lead large-scale organizational change, build physician engagement, and accelerate adoption of innovative technologies across complex healthcare environments.ReqDeep understanding of healthcare delivery, patient safety, quality improvement, clinical operations, academic medicine, and healthcare workforce transformation.ReqDemonstrated ability to translate emerging AI capabilities into clinically meaningful, scalable solutions that improve patient outcomes, clinician experience, and operational performance.ReqStrong understanding of clinical decision support, predictive analytics, ambient documentation, generative AI, and other AI applications relevant to healthcare delivery.ReqExperience establishing governance structures, executive committees, and decision-making frameworks that oversee the evaluation, deployment, monitoring, and lifecycle management of clinical AI technologies.ReqDemonstrated experience developing strategic partnerships with healthcare organizations, academic institutions, industry partners, and technology vendors to advance clinical AI innovation.ReqStrong business acumen with the ability to evaluate AI investments, measure value realization, and align AI initiatives with organizational strategy and financial stewardship.ReqInnovative and visionary leader with demonstrated ability to anticipate emerging trends in healthcare AI and guide organizations through rapid technological change.Req8+ years of progressive physician leadership experience leading clinical AI, clinical informatics, digital transformation initiatives, or a related function within a health system or academic medical center.ReqCurrent or prior clinical practice experience as a licensed physician with demonstrated credibility among practicing clinicians and the ability to lead physician engagement and adoption of AI-enabled clinical transformation.ReqFive (5) years of executive leadership experience (Chief Medical Informatics Officer, Chief Clinical Informatics Officer, Chief AI Officer, or comparable physician executive role) physician leadership role leading clinical AI, clinical informatics, or digital transformation initiatives within a health system or academic medical center.Pref

Education, Licenses and Certifications:

List Education, Licenses and Certifications a candidate must possess or meet to be considered for the position. You may also select any of these attributes as being preferred. These will be included in the job posting/advertisement and will be used to screen applicants. 

Education

Req / Pref

MD required.Req      

Licenses

Req / Pref

Active, unrestricted license to practice medicine with eligibility for physician licensure in the state of California.Req      

Certifications

Req / Pref

Board c...

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