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About This Role
Job no: 552165
Work type: Management (MPP)
Location: Fresno
Categories: MPP, Administrative, At-Will, Full Time
Provost and Vice President for Academic Affairs
(Administrator IV)
Compensation and Benefits
The anticipated hiring salary is $300,000 - $335,000 per year and is competitive and negotiable depending on the strength of qualifications. This is a CSU Management Personnel Plan (MPP) position.
The CSU system provides a comprehensive benefit package that includes medical, dental and vision plans, membership in the California Public Employees Retirement System (CalPERS), sick and vacation time, and 15 paid holidays a year. Eligible employees are also able to participate in the fee waiver education program. A summary of benefit information can be found here.
Job Summary
Reporting directly to the President and serving as a member of his cabinet, the Provost and Vice President for Academic Affairs will be an innovative and dynamic leader who will work collaboratively with cabinet members, the Academic Senate, deans, faculty, staff, and students to advance strategic goals across the University’s campus. The Provost will provide strategic, academic, and administrative leadership for Fresno State’s eight colleges, including the library; guide and support these units to reach a new level of excellence in their teaching, research, and service missions; and provide accountability as it relates to accreditation and the assessment of learning outcomes.
The Provost serves as the chief academic officer of Fresno State and is responsible for overseeing all academic programs, including instruction and research, and providing leadership for academic administrative operations. The Provost has principal responsibility for the planning, development, implementation, assessment, and improvement of all academic programs, policies, and supporting infrastructure, including facilities and information technology. The Provost ensures academic excellence through the recruitment and retention of world-class faculty, as well as through rigorous review of faculty for retention, tenure, and promotion. Primarily, the Provost will ensure the success of Fresno State’s innovative and transformative academic goals. Fundamentally, the Provost will also lead Fresno State’s innovation in teaching and research, especially addressing the value and challenges that AI presents to academia.
Key Qualifications
- Understanding the complexity of emerging opportunities present in a large comprehensive University environment, and the ability to work effectively in a consultative management setting within the framework of traditional academic self-governance and the collective bargaining environment.
- Proven commitment to shared governance and supporting and empowering collaborative relationships with students, faculty, staff, and administrators within a unionized environment, promoting teamwork at all levels.
- Demonstrated commitment to the professional development of faculty and staff, as well as ensuring campus programs and services that support student learning objectives and promote academic success.
- Experience managing complex budgets and allocating resources with a high level of transparency and fairness.
- Strategic and data-informed thinking with experience in assessment and outcomes measurements as well as accreditation requirements and logistics.
To view the full list of qualifications and job responsibilities, please click the Position Description button above.
Education and Experience
- An earned doctorate or terminal degree from an accredited institution, a Ph.D. is strongly preferred.
- A distinguished record of teaching, scholarly achievement, service, and other qualifications that merit appointment as a full professor in one of the disciplines at Fresno State.
- A successful track record of administration and leadership in higher education, including a minimum of five years of progressively responsible experience as Department Chair and/or Associate Dean, and as Dean of a College or equivalent position.
- A track record of advocating academic excellence in peer-reviewed publications with a preferred history of grant-related leadership; advocating for faculty through a passionate commitment to generate innovative strategies that develop and enhance resources for research, scholarship, and creative activities.
Deadline & Application Instructions
SP&A Executive Search is assisting Fresno State with this important recruitment. To inquire about the search or submit nominations,
please contact SP&A Executive Search at: Alberto Pimentel - Managing Partner, Emy Cruz - Partner, Sal Venegas Jr. - Partner - SP&A Executive Search 6512 Painter Avenue, Whittier, CA 90601, apsearch@spaexec.com
Applications received by March 6, 2026 will be given full consideration by the search committee. Applications received after that date will be forwarded at the request of the Hiring Manager and/or search committee.
Please click “” to complete the employment application for California State University, Fresno. Interested applicants must complete the application and attach the following: 1) their most recent resumé/vitae, 2) a cover letter that addresses their specific qualifications and interest, and 3) contact information for three professional references.
Fresno State
California State University, Fresno is one of 23 campuses in the California State University System. The University's mission is to boldly educate and empower students for success through our values of Discovery, Diversity and Distinction. The current student population is more than 25,000, including a large percentage of students with diverse and culturally rich backgrounds. The University serves the San Joaquin Valley while maintaining deep involvement with the state, nation, and across the globe.
Metropolitan Fresno, with a multi-ethnic population of over 527,000, is located in the heart of the San Joaquin Valley. The campus is within driving distance of Yosemite, Kings Canyon and Sequoia National Parks, San Francisco, Los Angeles, the Monterey Peninsula, beaches, sailing, lakes, and numerous ski resorts. Fresno boasts one of the most reasonable housing markets in California and offers a wide array of locally grown fruits and produce.
Equal Employment Opportunity Information
California State University, Fresno is committed to maintaining and implementing employment policies and procedures in compliance with applicable state and federal equal employment opportunity laws and regulations. Executive Orders 1096 and 1097 prohibit discrimination, harassment, and retaliation on the basis of a protected status: race, color, religion, national origin, ancestry, age, sex (including gender identity), sexual orientation, marital status, pregnancy, mental disability, physical disability, medical condition and covered veteran status. Fresno State's commitment to diversity informs our efforts in recruitment, hiring, and retention. We are proud to be an affirmative action and equal opportunity employer.
COVID19 Vaccination Policy
Per the CSU COVID-19 Vaccination Policy, it is strongly recommended that all employees who are accessing office and campus facilities follow COVID-19 vaccine recommendations adopted by the U.S. Centers for Disease Control and Prevention (CDC) and the California Department of Public Health (CDPH) applicable to their age, medical condition, and other relevant indications. Questions may be sent to hr@csufresno.edu.
Supplemental Information
Following a conditional offer of employment, a background check (including a criminal records check) must be completed satisfactorily before any candidate may start work with California State University, Fresno. Failure to satisfactorily complete the background check may result in the withdrawal of the offer of employment. Current employees who are offered positions on campus will be required to undergo a background check for any position where a background check is required by law or that Fresno State has identified as sensitive.
The person holding this position is considered a "mandated reporter" under the California Child Abuse and Neglect Reporting Act and is required to comply with the requirements set forth in CSU Executive Order 1083 as a condition of employment.
This position may be a "designated position" under the California State University's Conflict of Interest Code. This will require the filing of a Statement of Economic Interest on an annual basis and the completion of training within six (6) months of assuming office and every two (2) years thereafter.
Fresno State is a tobacco-free, smoke-free and vapor-free campus.
*Fresno State is not a sponsoring agency for staff or management positions. (e.g. H1-B Visas)*
Advertised: Jan 28 2026 Pacific Standard Time
Applications close:
Salary Context
This $300K-$335K range is above the 75th percentile for AI/ML Engineer roles in our dataset (median: $170K across 217 roles with salary data).
View full AI/ML Engineer salary data →Role Details
About This Role
AI/ML Engineers build and deploy machine learning models in production. They work across the full ML lifecycle: data pipelines, model training, evaluation, and serving infrastructure. The role has evolved significantly over the past two years. Where ML Engineers once spent most of their time on model architecture, the job now tilts heavily toward inference optimization, cost management, and integrating LLM capabilities into existing systems. Companies want engineers who can ship production systems, and the experimenter-only role is fading fast.
Day-to-day, you're writing training pipelines, debugging data quality issues, setting up evaluation frameworks, and figuring out why your model performs differently in staging than it did on your dev set. The best ML engineers are obsessive about reproducibility and measurement. They instrument everything. They know that a model is only as good as the data feeding it and the infrastructure serving it.
Across the 37,339 AI roles we're tracking, AI/ML Engineer positions make up 91% of the market. At California State University, this role fits into their broader AI and engineering organization.
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
What the Work Looks Like
A typical week might include: debugging a data pipeline that's silently dropping 3% of training examples, running A/B tests on a new model version, writing documentation for a feature flag system that lets you roll back model deployments, and reviewing a junior engineer's PR for a new evaluation metric. Meetings tend to be cross-functional since ML touches product, engineering, and data teams.
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
Skills Required
Python and PyTorch dominate the requirements. Most roles expect experience with cloud platforms (AWS, GCP, or Azure) and familiarity with ML frameworks like TensorFlow or JAX. RAG (Retrieval-Augmented Generation) has become a top-3 skill requirement as companies integrate LLMs into their products. Docker and Kubernetes show up in about a third of postings, reflecting the production focus of the role.
Beyond the core stack, employers increasingly want experience with experiment tracking tools (MLflow, Weights & Biases), feature stores, and vector databases. Fine-tuning experience is valuable but less common than you'd think from reading Twitter. Most production LLM work is RAG and prompt engineering, not fine-tuning. If you have both, you're in a strong position.
Companies that are serious about AI/ML hiring tend to post specific infrastructure details in the job description: the frameworks they use, their model serving stack, their data pipeline tools. Vague postings that just say 'ML experience required' without specifics are often companies that haven't figured out what they need yet.
Compensation Benchmarks
AI/ML Engineer roles pay a median of $154,000 based on 8,743 positions with disclosed compensation. This role's midpoint ($317K) sits 106% above the category median. Disclosed range: $300K to $335K.
Across all AI roles, the market median is $190,000. Top-quartile compensation starts at $244,000. The 90th percentile reaches $300,688. For comparison, the highest-paying categories include AI Engineering Manager ($293,500) and AI Safety ($274,200). By seniority level: Entry: $85,000; Mid: $147,000; Senior: $225,000; Director: $230,600; VP: $248,357.
California State University AI Hiring
California State University has 1 open AI role right now. They're hiring across AI/ML Engineer. Based in Fresno, CA, US. Compensation range: $335K - $335K.
Location Context
Across all AI roles, 7% (2,732 positions) offer remote work, while 34,484 require on-site attendance. Top AI hiring metros: New York (1,633 roles, $204,100 median); Los Angeles (1,356 roles, $179,440 median); San Francisco (1,230 roles, $240,000 median).
Career Path
Common paths into AI/ML Engineer roles include Data Scientist, Software Engineer, Research Engineer.
From here, career progression typically leads toward ML Architect, AI Engineering Manager, Principal ML Engineer.
The fastest path into ML engineering is through software engineering with a self-directed ML education. A CS degree helps, but production engineering skills matter more than academic credentials. Build something that works, deploy it, and measure it. That portfolio project is worth more than a Coursera certificate. For career growth, the fork comes around the senior level: go deep on technical complexity (staff/principal track) or move into managing ML teams.
What to Expect in Interviews
Expect system design questions around ML pipelines: how you'd build a training pipeline for a specific use case, handle data drift, or design A/B testing infrastructure for model deployments. Coding rounds typically involve Python, with emphasis on data manipulation (pandas, numpy) and algorithm implementation. Take-home assignments often ask you to build an end-to-end ML pipeline from raw data to deployed model.
When evaluating opportunities: Companies that are serious about AI/ML hiring tend to post specific infrastructure details in the job description: the frameworks they use, their model serving stack, their data pipeline tools. Vague postings that just say 'ML experience required' without specifics are often companies that haven't figured out what they need yet.
AI Hiring Overview
The AI job market has 37,339 open positions tracked in our dataset. By seniority: 3,672 entry-level, 23,272 mid-level, 7,048 senior, and 3,347 leadership roles (Director, VP, C-Level). Remote roles make up 7% of the market (2,732 positions). The remaining 34,484 roles require on-site or hybrid attendance.
The market median for AI roles is $190,000. Top-quartile compensation starts at $244,000. The 90th percentile reaches $300,688. Highest-paying categories: AI Engineering Manager ($293,500 median, 21 roles); AI Safety ($274,200 median, 24 roles); Research Engineer ($260,000 median, 264 roles).
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
The AI Job Market Today
The AI job market spans 37,339 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (33,926), AI Software Engineer (823), AI Product Manager (805). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (3,672) are outnumbered by mid-level (23,272) and senior (7,048) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 3,347 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 7% of all AI roles (2,732 positions), with 34,484 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $190,000. Top-quartile roles start at $244,000, and the 90th percentile reaches $300,688. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Engineering Manager roles lead at $293,500 median, while Prompt Engineer roles sit at $145,600. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Rag (23,721 postings), Aws (12,486 postings), Rust (10,785 postings), Python (5,564 postings), Azure (3,616 postings), Gcp (3,032 postings), Prompt Engineering (2,112 postings), Kubernetes (1,713 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
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