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Generative Ai Project Manager Jobs in Riverside, CA

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 ...

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 ...

Hands-on experience with LLM-enabled applications and Generative AI. * Experience building agent ... Experience with CI/CD pipelines and environment management. * Strong understanding of observability ...

Lead AI Engineer

Irvine, CA · On-site

$110K - $144K/yr

Proven ability to lead and mentor technical teams, with strong project management skills ... Expertise in advanced AI techniques, including reinforcement learning, generative models, and large ...

* Develop, maintain, and enhance e-commerce logistics systems to support inbound receiving, outbound shipping, inventory management, and returns processing. * Implement Generative AI-powered solutions ...

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Showing results 1-20

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 Jul 17, 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, and why are they important?

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:
Infographic showing various Generative Ai Project Manager job openings in Riverside, CA as of July 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $107,125 per year, or $51.5 per hour.
Sr. Software Engineer - Generative AI & Assistants, ArcGIS Pro

Sr. Software Engineer - Generative AI & Assistants, ArcGIS Pro

Esri

Redlands, CA

$123K - $162K/yr

Other

Posted 8 days ago


Esri rating

9.5

Company rating: 9.5 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

6th of 209 rated software companies


Job description

Overview

ArcGIS Pro is a powerful geographic information system (GIS) software that is used to analyze, visualize, and share spatial data, helping to solve real-world problems. We're on a mission to improve the accessibility of these tools through AI assistant functionality. As a team committed to innovation, you'll have a unique opportunity to bring your expertise in AI and machine learning to the world's leading GIS software.

Through curiosity and investigative research, you'll understand future capabilities and be able to fine-tune AI models to ensure quality functionality. You'll design, build, and test AI Copilot experiences to assist our users in ways that have never been achieved before, impacting industries in government, public safety, conservation, imagery and more.

In this role, you'll collaborate with our cross-functional global team of software engineers, product engineers, designers, product managers, and release engineers committed to delivering a host of cutting-edge capabilities. Bring your passion for AI and natural language processing and apply today!

Responsibilities

  • Contribute to the design and implementation of an AI Copilot for ArcGIS Pro
  • Design, develop, and implement AI models, prompts, algorithms and agents in C# or Python, particularly focusing on natural language generation and understanding using LLMs and embedding models
  • Write scalable, robust, testable, efficient, and easily maintainable code in C#, Python, or C++
  • Build software that follows the latest industry-standard design patterns, development methodologies, and deployment models
  • Collaborate with cross-functional teams to understand user needs and devise possible solutions
  • Translate software requirements into stable, working, high-performance software
  • Stay up to date with the latest advancements in AI and machine learning technologies like LLMs, multimodal models, text/embedding models, frameworks like LangChain and Semantic Kernel

Requirements

  • 5+ years of demonstrated experience in developing robust code and exceptional problem-solving skills using the C# programming language and the .NET platform
  • Experience with large language model tools like Semantic Kernel or LangChain
  • Experience with machine learning frameworks like TensorFlow, PyTorch, or similar
  • Familiarity with AI and Machine Learning concepts
  • Strong knowledge of data structures and algorithms
  • Knowledge of REST APIs and HTTP-based web services
  • Strong knowledge of GIT
  • Excellent communication skills, with the ability to explain complex concepts to non-technical team members
  • Demonstrated ability to self-direct, with an eagerness to learn and grow
  • Bachelor's degree in computer science, GIS, Mathematics, or related field

Recommended Qualifications

  • Experience with natural language processing and generative models
  • Good knowledge of Python
  • Experience in C++
  • Experience with cloud services like AWS, Google Cloud, or Azure
  • Master's degree in computer science, GIS, Mathematics, or related field

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What Esri employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About ESRI

Sourced by ZipRecruiter

Our passion for improving quality of life through geography is at the heart of everything we do. Esri's geographic information system (GIS) technology inspires and enables governments, universities, and businesses worldwide to save money, lives, and our environment through a deeper understanding of the changing world around them.

Industry

Scientific research and development services

Company size

1,001 - 5,000 Employees

Headquarters location

Redlands, CA, US

Year founded

1969