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Ai Rag Jobs in Riverside, CA (NOW HIRING)

Appex Innovation

AI Architect

Irvine, CA · Hybrid

AI Scientist / AI Architect (Hands-on) Location: Irvine, CA and LA, CA (2-3 days / week in the ... RAG, vector databases, embeddings, indexing) Experience with API development and backend system ...

Appex Innovation

AI Architect

Irvine, CA · On-site

$80/hr

AI Scientist / AI Architect (Hands-on) Location: Irvine, CA and LA, CA (2-3 days / week in the ... Strong expertise in retrieval-based systems (RAG, vector databases, embeddings, indexing)

Saransh Inc

AI/ML Architect

Irvine, CA · On-site

$68.50 - $88/hr

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 ...

CYNET SYSTEMS

AI Scientist / AI Architect

Irvine, CA · On-site

$75 - $80/hr

Build agent-based AI workflows, automation systems, and retrieval-based architectures (RAG, vector search, embeddings). * Architect and implement LLM orchestration layers supporting content ideation ...

Acra Lending

AI Engineer

Irvine, CA · On-site

... RAG) systems using lending guidelines, overlays, investor matrices, and SOPs. • Build prompt orchestration, memory systems, and agent reasoning frameworks. • Evaluate and deploy emerging AI ...

acralending

AI Engineer

Irvine, CA · On-site

Implement Retrieval-Augmented Generation (RAG) systems using lending guidelines, overlays, investor matrices, and SOPs. * Build prompt orchestration, memory systems, and agent reasoning frameworks.

acralending

AI Engineer

Irvine, CA · On-site

Implement Retrieval-Augmented Generation (RAG) systems using lending guidelines, overlays, investor matrices, and SOPs. * Build prompt orchestration, memory systems, and agent reasoning frameworks.

Acra Lending

AI Engineer

Irvine, CA · On-site

$140K - $160K/yr

Implement Retrieval-Augmented Generation (RAG) systems using lending guidelines, overlays, investor matrices, and SOPs. * Build prompt orchestration, memory systems, and agent reasoning frameworks.

CYNET SYSTEMS

Senior AI Engineer

Irvine, CA · On-site

$56 - $61/hr

Pay Range: $56hr - $61hr Requirement/Must Have: * 1+ years of experience in Generative AI / LLM systems (RAG, embeddings, prompt engineering). * Hands-on experience with AWS ecosystem. * Expertise in ...

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All JobsAi Rag JobsAi Rag Jobs in Riverside, CA

Ai Rag information

See Riverside, CA salary details

$33.4K

$60.8K

$87.1K

How much do ai rag jobs pay per year?

As of Aug 7, 2026, the average yearly pay for ai rag in Riverside, CA is $60,765.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,100.00 and $67,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AI researcher?

To thrive as an AI Researcher, you need a strong background in computer science, mathematics, and machine learning, usually with an advanced degree such as a Master's or Ph.D. Proficiency with programming languages like Python, deep learning frameworks (e.g., TensorFlow, PyTorch), and familiarity with scientific research tools is essential. Critical thinking, creativity, and effective collaboration are vital soft skills for generating novel ideas and working in multidisciplinary teams. These skills and qualities are crucial to drive innovation and solve complex problems in the rapidly evolving field of artificial intelligence.

What is the difference between Ai Rag vs Data Analyst?

AspectAi RagData Analyst
Required CredentialsTypically a diploma or certification in AI, machine learning, or related fieldsBachelor's degree in statistics, mathematics, or related fields
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, and various industries
Employer & Industry UsagePrimarily in AI development and researchAcross industries for data interpretation and decision-making
Common Search & ComparisonYesYes

Ai Rag and Data Analyst roles share overlapping skills in data handling and analysis, but Ai Rag focuses more on AI-specific applications and machine learning, while Data Analysts concentrate on interpreting data to inform business decisions. Both roles are vital in data-driven industries, with Ai Rag often working in AI development environments and Data Analysts supporting strategic insights across sectors.

What is an AI RAG?

AI RAGs, or Retrieval-Augmented Generation systems, are a type of artificial intelligence that combines the power of retrieving information from large databases or documents with generating human-like text responses. This approach allows AI models to provide more accurate, up-to-date, and contextually relevant answers by referencing external data sources during the generation process. RAGs are commonly used in applications like chatbots, search engines, and customer support systems, where comprehensive and factual responses are important.

What are common challenges faced by AI RAG engineers when integrating retrieval systems with large language models?

AI RAG engineers often encounter challenges such as ensuring seamless integration between retrieval systems and language models, maintaining low latency for real-time responses, and handling the quality and relevance of retrieved data. Additionally, tuning the system to balance retrieval accuracy with generative fluency can be complex, especially when dealing with large or unstructured datasets. Collaboration with data engineers, ML researchers, and product teams is essential to address these challenges and optimize system performance.
What job categories do people searching Ai Rag jobs in Riverside, CA look for? The top searched job categories for Ai Rag jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Ai Rag jobs? Cities near Riverside, CA with the most Ai Rag job openings:
Ai Rag jobs near you
Infographic showing various Ai Rag job openings in Riverside, CA as of June 2026, with employment types broken down into 9% Full Time, 78% Part Time, and 13% Contract. Highlights an 69% Physical, 3% Hybrid, and 28% Remote job distribution, with an average salary of $60,765 per year, or $29.2 per hour.

Sr. Director, Enterprise Artificial Intelligence

Staar Surgical Company

Lake Forest, CA

Full-time

Posted 2 days ago

New

Job description

MAIN JOB RESPONSIBILITIES / COMPETENCIES
The Director, Enterprise Artificial Intelligence is responsible for leading the Company's enterprise Artificial Intelligence (AI) strategy and driving business transformation through the adoption of AI-enabled capabilities across the organization. This role partners closely with Executive Leadership, Manufacturing, Supply Chain, Engineering, Quality Assurance, Regulatory Affairs, Commercial Operations, Finance, Human Resources, Cybersecurity, Infrastructure, and Information Technology to identify, prioritize, and implement Artificial Intelligence solutions that improve operational efficiency, decision making, customer experience, innovation, and long-term competitive advantage.
This position provides strategic leadership for enterprise AI governance, Responsible AI, Generative AI, Agentic AI, Machine Learning, Intelligent Automation, and enterprise knowledge management while ensuring AI initiatives deliver measurable business value, align with corporate objectives, and support secure, scalable, and sustainable business transformation.
1.Lead and execute the Company's enterprise Artificial Intelligence strategy aligned with corporate objectives, digital transformation initiatives, and measurable business outcomes.
2.Establish and operationalize an Enterprise AI Center of Excellence (AI CoE) responsible for governance, standards, reusable AI capabilities, and enterprise adoption.
3.Drive enterprise business transformation through the application of Artificial Intelligence, Generative AI, Agentic AI, Machine Learning, Predictive Analytics, and Intelligent Automation.
4.Partner with executive leadership and business stakeholders to identify and prioritize AI initiatives that improve operational efficiency, product quality, customer experience, revenue growth, and employee productivity.
5.Develop enterprise AI roadmaps, investment strategies, business cases, and value realization plans.
6.Establish Responsible AI governance, AI policies, model lifecycle management, and AI risk management practices.
7.Lead implementation of RAG, semantic search, vector databases, AI assistants, and enterprise knowledge management.
8.Integrate AI with Oracle Fusion ERP, OCI, OIC, Salesforce, MES, PLM, enterprise data platforms, and cloud-native applications.
9.Establish KPIs and executive dashboards measuring AI adoption and business value.
10.Lead organizational change management and enterprise AI adoption.
11.Recruit and mentor a team of AI/Business Engineers, Data Engineer/architects and AI Product Owner.
12.Evaluate emerging AI technologies and strategic technology partnerships.
13.Foster innovation, continuous improvement, and responsible AI adoption.
14.Other duties as assigned.

REQUIREMENTS

EDUCATION & TRAINING
Bachelor's degree in computer science, Artificial Intelligence, Data Science, Engineering, Information Technology, Business Administration, or related discipline required or equivalent combination of education/experience.
Advanced degree preferred.
Professional certifications in AI, Cloud Computing, Enterprise Architecture, Cybersecurity, Project Management, or Data Analytics are highly desirable.

EXPERIENCE
12+ years of progressive leadership experience in enterprise technology, digital transformation, Artificial Intelligence, data analytics, enterprise architecture, software engineering, or related disciplines.
3+ years leading enterprise digital AI transformation organizations.
Demonstrated success developing enterprise AI strategies delivering measurable business transformation.
Experience with Generative AI, LLMs, Agentic AI, RAG, Machine Learning, Predictive Analytics, and Intelligent Automation.
Experience in integrating AI with ERP, CRM, Supply Chain, Manufacturing, Finance, HR, and enterprise platforms.
Experience presenting AI strategies and business outcomes to executive leadership and Boards.
Enterprise AI governance, organizational change management, and global business transformation.
FDA-regulated medical devices, biotechnology, pharmaceutical, life sciences, or other regulated industries preferred.

SKILLS
Strong knowledge of enterprise Artificial Intelligence strategy, governance, operating models, enterprise architecture, and business transformation methodologies, including the development of AI roadmaps, investment strategies, Centers of Excellence, and enterprise adoption frameworks.
Deep understanding of Generative AI, Large Language Models (LLMs), Agentic AI, Retrieval-Augmented Generation (RAG), prompt engineering, AI orchestration frameworks, semantic search, vector databases, AI assistants, autonomous agents, and intelligent automation technologies.
Strong understanding of Machine Learning, Predictive Analytics, Natural Language Processing (NLP), Computer Vision, AI model lifecycle management, model evaluation, MLOps, LLMOps, and enterprise AI platform operations.
Strong knowledge of enterprise cloud platforms including Oracle Cloud Infrastructure (OCI), Microsoft Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP), cloud-native architectures, APIs, microservices, enterprise integration, event-driven architectures, and hybrid cloud environments.
Deep understanding of enterprise data architecture, data governance, master data management, metadata management, data quality, knowledge management, vector storage, and enterprise information management principles supporting AI-enabled decision making.
Strong understanding of Responsible AI principles, AI governance, cybersecurity, privacy, regulatory compliance, intellectual property protection, model transparency, explainability, AI ethics, enterprise risk management, and secure AI deployment practices.
Demonstrated ability to align Artificial Intelligence investments with corporate strategy by developing business cases, value realization frameworks, key performance indicators (KPIs), executive dashboards, and measurable financial and operational outcomes.
Ability to partner effectively with Executive Leadership, Information Technology, Manufacturing, Engineering, Supply Chain, Quality Assurance, Regulatory Affairs, Finance, Human Resources, Cybersecurity, Legal, and external technology partners to deliver enterprise-wide AI capabilities.
Excellent analytical, strategic planning, organizational, communication, executive presentation, negotiation, financial management, vendor management, stakeholder engagement, and organizational change management skills.
Demonstrated leadership building, mentoring, and scaling high-performing multidisciplinary teams consisting of AI Engineers, Data Scientists, Machine Learning Engineers, AI Solution Architects, Enterprise Architects, Product Managers, and business technology professionals.
Proven ability to lead enterprise modernization initiatives, drive innovation, establish AI governance, manage organizational change, and deliver measurable business transformation while maintaining secure, scalable, and responsible AI practices.

Pay range: $200K - $300K - Final compensation/salary will depend on experience.

STAAR Surgical is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran or disability status, or any other characteristic protected by law. #USA

Employment Type: Full time

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