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Generative Ai Project Manager Jobs in Riverside, CA

Field AI

Project Manager

Irvine, CA · On-site

$130K - $200K/yr

Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the ...

Esri

Sr. Generative AI Software Developer

Redlands, CA · On-site +1

$54.75 - $72.50/hr

If you are passionate about geospatial technologies, AI-driven data quality management, and building scalable, high-performance distributed solutions, this role offers the opportunity to work on ...

Esri

Sr. Generative AI Software Developer

Redlands, CA · On-site

$123K - $202K/yr

If you are passionate about geospatial technologies, AI-driven data quality management, and building scalable, high-performance distributed solutions, this role offers the opportunity to work on ...

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All JobsGenerative Ai Project JobsGenerative Ai Project Manager JobsGenerative Ai Project Manager Jobs in Riverside, CA

Generative Ai Project Manager information

See Riverside, CA salary details

$40.2K

$107.1K

$169K

How much do generative ai project manager jobs pay per year?

As of Aug 7, 2026, the average yearly pay for generative ai project manager in Riverside, CA is $107,125.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,900.00 and $128,300.00 per year, depending on experience, location, and employer.

What are some unique challenges faced by generative AI project managers when overseeing cross-functional teams?

Generative AI Project Managers often encounter the challenge of bridging knowledge gaps between technical AI specialists, such as data scientists and engineers, and non-technical stakeholders, like product managers or business leaders. Coordinating clear communication and aligning project goals requires balancing rapid technological changes with business requirements, all while ensuring ethical and responsible AI development. Additionally, managing timelines can be complex due to the experimental nature of generative AI projects, which may involve iterative prototyping and unexpected roadblocks. Building trust and facilitating collaboration across diverse teams is key to project success.

What is the difference between Generative Ai Project Manager vs Data Scientist?

AspectGenerative Ai Project ManagerData Scientist
Required CredentialsProject management certifications, AI knowledgeDegree in Data Science, Computer Science, or related fields
Work EnvironmentCross-functional teams, project planningData analysis, model development
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, research institutions, analytics companies

While both roles involve AI, the Generative Ai Project Manager oversees AI projects, coordinating teams and timelines, whereas the Data Scientist focuses on analyzing data and building models. The project manager ensures project delivery, while the data scientist develops the AI models used within projects.

What does a generative AI project manager do?

A Generative AI Project Manager oversees projects that involve the development and implementation of generative artificial intelligence solutions. Their responsibilities include coordinating teams of data scientists, engineers, and designers, managing project timelines and budgets, and ensuring that deliverables meet business objectives. They also facilitate communication between technical and non-technical stakeholders to ensure alignment and project success. Additionally, they stay updated on advances in AI technology to guide project direction and innovation.

What are the key skills and qualifications needed to thrive as a generative AI project manager?

To thrive as a Generative AI Project Manager, you need a solid understanding of AI/machine learning concepts, project management methodologies, and a relevant degree (such as computer science or engineering). Familiarity with tools like Jira, Agile frameworks, and AI platforms (e.g., TensorFlow, PyTorch) as well as certifications like PMP or Agile Scrum Master are highly beneficial. Strong leadership, communication, and problem-solving skills set outstanding candidates apart by enabling them to bridge technical and non-technical teams. These abilities are crucial for delivering AI projects on time, ensuring alignment with business goals, and adapting to rapidly evolving technology landscapes.
What are popular job titles related to Generative Ai Project Manager jobs in Riverside, CA? For Generative Ai Project Manager jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Generative Ai Project Manager jobs in Riverside, CA look for? The top searched job categories for Generative Ai Project Manager jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Generative Ai Project Manager jobs? Cities near Riverside, CA with the most Generative Ai Project Manager job openings:
Generative Ai Project Manager jobs near you
Infographic showing various Generative Ai Project Manager job openings in Riverside, CA as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $107,125 per year, or $51.5 per hour.

AVP Enterprise AI and Automation

Credit Union of Southern California

Anaheim, CA • On-site

$48.25 - $63.50/hr

Full-time

Re-posted 14 days ago

Job description

Job Type
Full-time
Description
The AVP, Enterprise AI & Automation is responsible for establishing and leading the credit union's Enterprise AI and Automation function. This role provides strategic direction and hands-on leadership to drive the responsible adoption of artificial intelligence, generative AI, and intelligent automation technologies across the organization.
Reporting directly to the Chief Technology Officer, this role partners closely with IT, business leaders, compliance, risk, and operations to identify high value use cases, deliver measurable efficiency gains, and enhance both Member and team member experiences. The AVP ensures AI initiatives are executed in alignment with CU SoCal's AI Strategy, Continuous Process Improvement framework, and applicable governance standards. .
This position in based in Anaheim Hills, CA with the opportunity to work a hybrid-remote schedule which consist of 2 days in-office and 3 days working remote from home.
Why Work at CU SoCal?
CU SoCal is one of the fastest growing credit unions and is more than just a place to work. It's a place where people come before profit, a place where you can build a career that's more than a job, and where the work you do has meaning and purpose. We offer competitive pay, great health benefits and a culture like no other!
CU SoCal is a Gallup Exceptional Workplace Award Recipient
In 2026, Credit Union of Southern California (CU SoCal) was once again honored with the Gallup Exceptional Workplace Award, marking our third consecutive win and ranking us among the top workplaces worldwide for outstanding employee engagement.
The CU SoCal culture fosters Building Better Lives for our Members, personal development, open communication, and genuine care for each other. We prioritize C.A.R.E. 4: professional competence, positive attitude, relationship building, and eager service to others. If you're passionate about making a difference and want to be part of a dynamic team, please submit your application today!
Requirements
Minimum Qualifications
  • Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science or related field.
  • 8+ more years of experience in technology leadership, digital transformation, automation or advanced analytics roles.
  • Demonstrated experience leading enterprise initiatives involving AI, generative AI, RPA, or intelligent automation.
  • Experience defining and executing technology or automation strategies in regulated industries such as financial services, healthcare, or public sector.
  • Experience working with vendor provided AI solutions and platforms, including buy and partner deliver models.
  • Strong understanding of process improvement methodologies and their application to automation initiatives.
  • Experience establishing governance, risk management, and control frameworks for emerging technologies.
  • Proficient in all applicable MS Office programs (i.e., Word, Excel, Outlook, Teams, etc.).

Preferred Qualifications
  • Master's degree in Technology, Data Science, AI, Business, or related discipline

Essential Duties and Responsibilities
  • Establish and lead the Enterprise AI & Automation function, including defining operating model, intake processes, prioritization frameworks, and delivery standards.
  • Develop and maintain the enterprise AI and automation roadmap, ensuring alignment with organizational strategy, business priorities, and technology architecture.
  • Identify, evaluate, and prioritize AI, generative AI, and RPA use cases that deliver measurable operational efficiency, scalability, risk reduction, or enhanced Member and team member experiences.
  • Partner with business units and IT teams to redesign processes and implement intelligent automation solutions grounded in continuous improvement principles.
  • Lead the adoption and optimization of enterprise AI platforms, including currently approved tools such as Microsoft Copilot and ChatGPT, to improve team member productivity, decision making, and operational efficiency.
  • Partner with business units as subject matter expert to evaluate, select, and implement AI and automation solutions, providing technical guidance, governance oversight, and vendor coordination while supporting business owned outcomes.
  • Ensure all AI initiatives adhere to responsible AI principles, regulatory requirements, and internal governance standards, including alignment with the NIST AI Risk Management Framework and CU SoCal policies.
  • Collaborate with compliance, risk management, legal, and data governance stakeholders to support ethical AI usage, data protection, model transparency, and risk mitigation.
  • Lead change management and adoption for enterprise-wide AI solutions by partnering with business units and C&TD to support training, communication, and value realization tracking.
  • Define and monitor KPIs to measure the effectiveness, adoption, and business impact of AI and automation initiatives.
  • Stay current on AI, generative AI, and automation trends, assessing emerging technologies for relevance and potential value to the credit union.
  • Build, lead, and develop a high performing team, providing coaching, direction, and performance management.
  • Complete understanding and active application the C.A.R.E. 4 Guide expectations and the Brand Communications Standards Accountability Philosophy.
  • Must be able and available to work a "hybrid" schedule, per business operations requirement, as needed.
  • Additional duties and responsibilities, as assigned.

We support Pay Transparency and are a pay-for-performance organization that benchmarks base pay to the 50th percentile of market data.
Pay Scale: Min. $192,157 / Mid. $245,000 / Max. $315,848* per year
*Actual compensation will be based on geographical location, work experience, education and/or skill level.
CU SoCal is an equal opportunity employer. All decisions are based only on the individual's qualifications/ability to perform the work. The above statements are intended to describe the essential functions, nature and level or work to be performed as of the document preparation date; they are not intended to be an exhaustive list of all duties and responsibilities. CU SoCal reserves the right to modify this job description at any time, without notice.
We foster an environment and culture where ideas and decisions from all people help us grow, innovate, and fulfill our mission of Building Better Lives.

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