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Ai Ml Project Manager Jobs in Riverside, CA (NOW HIRING)

Saransh Inc

AI/ML Architect

Irvine, CA · On-site

$68.50 - $88/hr

AI/ML Solution Architecture * LLM & Generative AI Development * Agent-Based Systems * Retrieval ... Experience with CI/CD pipelines and environment management * Strong understanding of observability ...

ETAP

Power Systems AI/ML Engineer

Irvine, CA · On-site

$87K - $125K/yr

ETAP empowers customers to make informed decisions throughout the life cycle of their projects with ... Highly motivated, self-managed, details-oriented, and well-organized Preferred Qualifications:

Aveva

Power Systems AI/ML Engineer

Irvine, CA · On-site

$87K - $125K/yr

ETAP empowers customers to make informed decisions throughout the life cycle of their projects with ... Highly motivated, self-managed, details-oriented, and well-organized Preferred Qualifications:

FieldAI

Engineering Program Manager- ML

Irvine, CA

$138K/yr

FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field ... What You Have * 4-7 years as a Technical Program Manager or equivalent, supporting AI/ML or data ...

Socket.dev

Engineering Program Manager- ML

Irvine, CA · On-site

$140 - $190/hr

FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field ... What You Have * 4-7 years as a Technical Program Manager or equivalent, supporting AI/ML or ...

Rival

Technical Program Manager- ML

Irvine, CA · On-site

$180 - $200/hr

FieldAI' s Irvine team is where embodied AI meets real robots, real sensors, and real field ... What You Have * 4-7 years as a Technical Program Manager or equivalent, supporting AI/ML or data ...

New

FieldAI

Engineering Program Manager- ML

Irvine, CA · On-site

$180K - $200K/yr

FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field ... What You Have * 4-7 years as a Technical Program Manager or equivalent, supporting AI/ML or data ...

FieldAI

Engineering Program Manager- ML

Irvine, CA · On-site

$180K - $200K/yr

FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field ... What You Have * 4-7 years as a Technical Program Manager or equivalent, supporting AI/ML or data ...

Kaygen, Inc.

AI Architect

Irvine, CA · On-site

$67.50 - $87/hr

... ML engineers, and AI specialists to drive innovation and delivery excellence. • Manage AI initiatives end-to-end, ensuring delivery within scope, timeline, and budget. • Translate complex AI ...

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All JobsAi Ml Project JobsAi Ml Project Manager JobsAi Ml Project Manager Jobs in Riverside, CA

Ai Ml Project Manager information

See Riverside, CA salary details

$40.2K

$107.1K

$169K

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

As of Sep 2, 2026, the average yearly pay for ai ml 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 is an AI/ML project manager?

An AI/ML Project Manager is a professional responsible for leading and coordinating projects that involve artificial intelligence (AI) and machine learning (ML) technologies. They bridge the gap between technical teams (such as data scientists and engineers) and business stakeholders to ensure projects are delivered on time, within scope, and meet desired outcomes. Their duties include planning project timelines, managing resources, communicating progress, and mitigating risks. AI/ML Project Managers also need to have a solid understanding of AI/ML concepts to effectively oversee technical aspects and make informed decisions.

What are the key skills and qualifications needed to thrive as an AI/ML project manager, and why are they important?

To thrive as an AI/ML Project Manager, you need a solid background in computer science or engineering, experience with machine learning concepts, and proven project management expertise, often supported by a relevant degree and PMP or Agile certification. Familiarity with tools like JIRA, Python, TensorFlow, and cloud platforms (e.g., AWS, Azure) is commonly required. Outstanding communication, problem-solving, and stakeholder management skills set top performers apart in this role. These competencies are crucial to effectively bridge technical teams and business objectives, ensuring successful delivery of complex AI/ML projects.

What are some common challenges faced by AI/ML project managers when coordinating cross-functional teams?

AI/ML Project Managers often encounter challenges in bridging communication gaps between data scientists, software engineers, product managers, and business stakeholders. Each group may have different priorities and technical backgrounds, which can lead to misunderstandings or misaligned expectations. Ensuring clear communication, setting realistic timelines for experimentation and deployment, and managing changing project scopes are key aspects of the role. Successful AI/ML Project Managers facilitate collaboration and translate technical requirements into actionable tasks for all team members.

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

AspectAi Ml Project ManagerData Scientist
Required CredentialsBachelor's or master's in CS, AI, or related fields; certifications in project management and AI/ML toolsBachelor's or master's in CS, Statistics, or related; often with certifications in data analysis or machine learning
Work EnvironmentLeads AI/ML projects, coordinates teams, manages timelinesDevelops models, analyzes data, builds algorithms
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, finance, healthcare, research institutions

The Ai Ml Project Manager focuses on overseeing AI/ML projects, coordinating teams, and ensuring timely delivery. In contrast, Data Scientists primarily develop models and analyze data to extract insights. Both roles require technical knowledge, but their responsibilities differ significantly in scope and focus.

How much do AI ML project managers make?

AI ML project managers typically earn between $90,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in data science, cloud platforms, or certifications can command higher salaries. Compensation often includes bonuses and benefits aligned with project scope and organizational size.

What is the salary of AI ML project manager?

The salary of an AI ML Project Manager typically ranges from $90,000 to $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in machine learning and data science may earn higher compensation, often including bonuses and benefits.

What are popular job titles related to Ai Ml Project Manager jobs in Riverside, CA?

For Ai Ml Project Manager jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Ai Ml Project Manager jobs in Riverside, CA look for?

The top searched job categories for Ai Ml Project Manager jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Ai Ml Project Manager jobs?

Cities near Riverside, CA with the most Ai Ml Project Manager job openings:

Ai Ml Project Manager jobs near you
Infographic showing various Ai Ml Project Manager job openings in Riverside, CA as of August 2026, with employment types broken down into 83% Full Time, 15% Part Time, and 2% Contract. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $107,125 per year, or $51.5 per hour.

AI/ML Architect

Saransh Inc

Irvine, CA • On-site

$68.50 - $88/hr

Contractor

Re-posted 16 days ago

Job description

Role: AI Scientist / AI Architect
Location: 4 days a week onsite is must (3 days in Irvine, CA & 1 Day in Downtown, LA, CA)
Job Type: Contract
Description:
  • A highly skilled hands-on AI Scientist / Architect with at least 8+ years of experience in AI/ML, Data Science, or Software Engineering.
  • You bring strong expertise in designing and building scalable, production-ready AI solutions, with deep hands-on experience in LLM-enabled applications, agent-based systems, and cloud-native architectures.
  • You are comfortable working closely with business stakeholders and leading AI-driven innovation initiatives in an enterprise environment.
Note:
Mandatory Areas:
  • AI/ML Solution Architecture
  • LLM & Generative AI Development
  • Agent-Based Systems
  • Retrieval-Augmented Systems (RAG)
  • Enterprise AI Integration
  • AI/ML, Data Science, AI Architecture, Python, LLM, CI/CD
Must Have Skills:
• Python & Backend Development
• LLM / Generative AI Application Development
• Agent-Based AI Systems
• RAG / Vector DB / Embeddings
• API Development & System Integration
• AWS Cloud (Cloud-Native Development)
• CI/CD & DevOps Practices
• Observability (Logging, Monitoring, Tracing)
Responsibilities:
  • Design and develop scalable AI/ML pipelines and intelligent applications aligned with enterprise standards
  • Build agent-based AI workflows, automation systems, and retrieval-based architectures (RAG, vector search, embeddings)
  • Architect and implement LLM orchestration layers supporting content ideation, drafting, and editing workflows
  • Lead integration of AI solutions with backend systems and enterprise platforms (APIs, internal tools, data platforms)
  • Partner with product, marketing, and business stakeholders to translate requirements into AI-driven solutions
  • Provide architectural leadership, guide offshore teams, and ensure delivery aligned with scalability, security, and governance standards.
Requirements:
  • At least 8+ years of experience in AI/ML, Data Science, or Software Engineering
  • Strong Python backend development experience
  • Hands-on experience with LLM-enabled applications and Generative AI
  • Experience building agent-based / agent-oriented AI systems
  • Strong expertise in retrieval-based systems (RAG, vector databases, embeddings, indexing)
  • Experience with API development and backend system integration.
  • AWS cloud-native development experience
  • Experience with CI/CD pipelines and environment management
  • Strong understanding of observability (logging, monitoring, tracing)
  • Experience deploying ML models in production environments
  • Exposure to enterprise AI workflows, automation, and governance models.
Domain Experience (If any):
• AI-enabled enterprise workflows
• Marketing / Content generation platforms (nice to have)
• Financial / Investment domain (preferred based on content use cases)
Certifications:
• Not mandatory (AWS / ML / AI certifications are good to have)