ZipRecruiter

Log In

1

Ai Rag Jobs in Riverside, CA (NOW HIRING)

Origence

AI Solution Architect

Irvine, CA · On-site

$67.75 - $89.25/hr

We are seeking an experienced AI Solution Architect to design and deliver end-to-end generative AI ... Implement RAG (Retrieval-Augmented Generation) architectures leveraging Microsoft Fabric's unified ...

Origence

AI Solution Architect

Irvine, CA

$67.50 - $89/hr

We are seeking an experienced AI Solution Architect to design and deliver end-to-end generative AI ... Implement RAG (Retrieval-Augmented Generation) architectures leveraging Microsoft Fabric's unified ...

Esri

Sr. Generative AI Software Developer

Redlands, CA · On-site

$54.75 - $72.50/hr

... and RAG systems • Bachelor's degree in computer science, mathematics, or STEM related field ... AI concepts, model evaluation and agentic workflows • Experience with Agile development ...

Esri

Sr. Software Development Engineer - Gen AI

Redlands, CA · On-site

$123.20K - $162.50K/yr

... and RAG systems • Bachelor's degree in computer science, mathematics, or STEM related field ... AI concepts, model evaluation and agentic workflows • Experience with Agile development ...

Esri

Sr. Generative AI Software Developer

Redlands, CA · On-site +1

$54.75 - $72.50/hr

Experience with software development using Python, ML frameworks and RAG systems * Bachelor ... Understanding of key AI concepts, model evaluation and agentic workflows * Experience with Agile ...

Reply

AI/ML Engineer (AWS)

Irvine, CA · Remote

$120K - $155K/yr

Experience with retrieval-augmented generation (RAG), embeddings, or agent-based architectures ... Experience integrating AI capabilities into customer-facing or enterprise applications.

Esri

Sr. Software Development Engineer - Gen AI

Redlands, CA · On-site +1

$123.20K - $162.50K/yr

Experience with software development using Python, ML frameworks and RAG systems * Bachelor ... Understanding of key AI concepts, model evaluation and agentic workflows * Experience with Agile ...

GoodLeap

Principal AI Engineer, Payments

Irvine, CA · On-site

$202K - $237K/yr

Familiarity with Retrieval-Augmented Generation (RAG) patterns in production systems * Knowledge of ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

GoodLeap

Staff AI Engineer, Payments

Irvine, CA · On-site

$173K - $200K/yr

Familiarity with Retrieval-Augmented Generation (RAG) patterns in production systems * Knowledge of ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

CompassX Group

Solution Architect - GenAI

Irvine, CA · On-site

$150K - $190K/yr

Own the AI Stack: Work across the full GenAI delivery stack: LLM APIs (OpenAI, Anthropic, Azure OpenAI, AWS Bedrock), vector databases, RAG pipelines, evaluation frameworks, and deployment ...

CompassX Group

Solution Architect - GenAI

Irvine, CA · On-site

$67.50 - $89/hr

Own the AI Stack: Work across the full GenAI delivery stack: LLM APIs (OpenAI, Anthropic, Azure OpenAI, AWS Bedrock), vector databases, RAG pipelines, evaluation frameworks, and deployment ...

next page

Showing results 1-20

People also search for

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 May 31, 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, and why are they important?

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 are some common challenges faced by AI RAG (Retrieval-Augmented Generation) 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 are AI RAGs?

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 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 are popular job titles related to Ai Rag jobs in Riverside, CA? For Ai Rag jobs in Riverside, CA, the most frequently searched job titles are:
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
AI Solution Architect

AI Solution Architect

Origence

Irvine, CA • On-site

$67.75 - $89.25/hr

Full-time

Retirement, PTO

Posted 12 days ago

Job description

About Origence

With 30 years at the forefront of fintech innovation, we specialize in SaaS lending solutions that lead the industry. Our core mission is customer-centric, focusing on empowering Credit Unions across the United States with the tools to offer accessible, competitive lending services. We're deeply committed to enhancing the financial ecosystem for a broad network of credit unions, members and auto dealers. We invest in our greatest assets, our employees, and foster a culture of innovation and ownership through freedom and responsibility. We celebrate fiscal accountability, operational rigor and efficiency to create a sustainably healthy and robust business for the long term.

About you

You are a self-driven, conscientious, fiscally responsible, self-aware, passionate and compassionate professional. You are comfortable with ambiguity, eternally curious, and love problem solving. You operate as an owner and work with a growth mindset. You are extremely productive on your own, and act as a multiplier collaborating with others. You are tireless in questioning the status quo and pursue the best answers to the hardest problems to the benefit of the business. Your focus is strong and capable of context switching and pivoting with the business. In the vacuum of leadership, you assume it.

We are seeking an experienced AI Solution Architect to design and deliver end-to-end generative AI solutions that transform raw data from diverse enterprise sources into intelligent, actionable business applications. This role requires a unique blend of data engineering expertise, AI/ML knowledge, and API development skills to create comprehensive solutions that span from data ingestion to AI-powered business intelligence, with a strong focus on Microsoft's unified analytics and AI platform.

What You’ll Be Doing:

Solution Design & Architecture

  • Design comprehensive AI solution architectures that integrate multiple data sources (SQL databases, MongoDB, APIs, file systems, Salesforce, Dynamics 365) into cohesive generative AI applications
  • Create technical blueprints for data flow, processing pipelines, and AI model integration across the full technology stack
  • Establish best practices for scalable, secure, and maintainable AI solution architectures leveraging Microsoft Fabric and Azure AI Foundry, or similar technologies.
  • Define integration patterns and standards for connecting disparate data sources to AI workflows

Data Engineering & Pipeline Development

  • Architect end-to-end data solutions using Microsoft Fabric's unified data platform
  • Design and implement data pipelines using Fabric Data Factory and integrate with external systems
  • Leverage Fabric's OneLake architecture for seamless data integration across all workloads
  • Implement real-time analytics using Fabric's Real-Time Analytics and Event Streams capabilities
  • Optimize data storage and processing using Fabric's Delta Lake and data mesh principles

AI/ML Integration & Development

  • Design and develop MCP (Model Context Protocol) servers to enable seamless AI model communication and context sharing
  • Design and deploy generative AI solutions using Azure AI Foundry's model catalog and deployment capabilities
  • Implement RAG (Retrieval-Augmented Generation) architectures leveraging Microsoft Fabric's unified data platform and MCP servers
  • Implement vector search and semantic capabilities within the Microsoft Fabric ecosystem

API Development & Business Intelligence Integration

  • Develop robust APIs and microservices that expose AI functionality through standardized MCP interfaces
  • Design and implement RESTful and GraphQL APIs for AI model inference, data retrieval, and MCP server communication
  • Build Power BI reports and dashboards that leverage AI-generated insights and predictions from MCP-enabled systems
  • Implement monitoring, logging, and observability for AI APIs, MCP servers, and data services

Technical Leadership & Collaboration

  • Collaborate with data scientists, engineers, and business stakeholders to translate requirements into technical solutions
  • Provide technical guidance and mentorship to development teams
  • Lead proof-of-concept initiatives and pilot AI implementations
  • Stay current with emerging AI technologies and evaluate their applicability to business needs

The Ideal Candidate:

Education:

  • Bachelor’s degree preferred or commensurate experience.

Experience:

Model Context Protocol & AI Integration Expertise

  • 2+ years of experience with Model Context Protocol (MCP) server development and implementation
  • Understanding of MCP architecture, context management, and multi-agent AI systems
  • Experience building custom MCP servers for enterprise data source integration
  • Knowledge of MCP best practices for AI model communication and context sharing

Azure AI Foundry & Microsoft Fabric Expertise

  • 3+ years of hands-on experience with Microsoft Fabric's integrated analytics platform
  • Expert knowledge of Azure AI Foundry for AI application lifecycle management
  • Deep understanding of Fabric workspaces, compute engines, and cross-workspace collaboration
  • Experience with Fabric's security model, data governance, and compliance features
  • Proven expertise in Fabric Data Factory, Power BI integration, and Real-Time Analytics

General Architecture & Design

  • 5+ years of solution architecture experience with enterprise-scale cloud implementations
  • Understanding of modern data architecture patterns including data mesh, lakehouse, and medallion architecture
  • Experience with OneLake and delta table optimization for large-scale analytics workloads
  • Experience with microservices architecture, API design, and distributed systems
  • Knowledge of data modeling, schema design, and database optimization

AI/ML Expertise

  • 3+ years of hands-on experience with Machine Learning, Neural Networks, generative AI, LLMs, and Azure AI Foundry
  • Proficiency with Azure AI Foundry's prompt flow, model evaluation, and deployment capabilities
  • Experience with MCP server integration in AI workflows and multi-agent systems
  • Experience with responsible AI practices, content safety, and AI governance within the Microsoft ecosystem
  • Understanding of fine-tuning, prompt engineering, and model optimization techniques

Specialized Skills:

Microsoft AI & Analytics Platform

  • Expert-level proficiency with Azure AI Foundry, Microsoft Fabric (Data Factory, Real-Time Analytics, Power BI, Synapse), Azure OpenAI Service, and Azure Cognitive Services
  • Model Context Protocol (MCP): Expert knowledge in developing and implementing MCP servers for AI model integration, context management, and multi-agent systems
  • Data Technologies: Expert experience with SQL databases (PostgreSQL, SQL Server, MySQL), MongoDB, NoSQL databases, and modern data engineering workflows
  • Enterprise Integrations: Hands-on experience with Salesforce APIs, Dynamics 365, CRM/ERP data extraction, Microsoft Graph APIs, and Azure Active Directory
  • Development & APIs: Strong skills in Python, C#, Java for enterprise APIs, microservices, REST/GraphQL, and MCP protocol implementation
  • Business Intelligence: Expert-level Power BI experience including custom connectors, DAX, Power Query, and advanced reporting

Preferred Qualifications:

  • PhD in Computer Science, Data Science, or related technical field
  • Cross-cloud platform knowledge (AWS, GCP) is advantageous but not required
  • Experience with MCP server architecture and protocol implementation for AI systems
  • Knowledge of data privacy regulations (GDPR, CCPA) and Azure security best practices
  • Previous experience in consulting or client-facing technical roles

Why you should apply:

  • Flexible Working Environment
  • Paid Time Off
  • 401k (8% match)
  • College Tuition Benefits/ Tuition Reimbursement
  • Good Benefits options
  • Company Culture! Cultural and Holiday celebrations, Theme days like Star Wars Day & Bring your Kids to Work Day, Monthly Townhalls and Quarterly Company Meetings that ensure awareness, inclusion, and transparency.

The starting salary range for this full-time position in Irvine, CA is $147900 - $184900 per year. This base pay will take into consideration internal equity, candidate’s geographic region, job-related knowledge and experience among other factors. Origence maintains a highly competitive compensation program. Under company guidelines, this position is eligible for an annual bonus to provide an incentive to achieve targeted goals. Bonuses are awarded at company’s discretion on an individual basis.

Origence is an equal opportunity employer. All recruitment, hiring, training, compensation, benefits, discipline, and other terms and conditions of employment will be based upon an individuals’ qualifications regardless of race, religion, color, sex, gender identity, sexual orientation, national origin, ancestry, military service, marital status, pregnancy, age, protected medical condition, genetic information, disability or any other category protected by federal, state or local law.