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Ai Data Architect Jobs in Riverside, CA (NOW HIRING)

NextDeavor Inc.

Principal Data Architect

Irvine, CA · On-site

$126K - $214K/yr

Principal Data Architect Full-time Remote Exclusive confidential search -- details shared with ... Experience building feature stores or curated data products serving ML/AI workloads and BI ...

NextDeavor Inc.

Principal Data Architect

Irvine, CA · Remote

$126K - $214K/yr

Principal Data Architect Full-time Remote Exclusive confidential search -- details shared with ... Experience building feature stores or curated data products serving ML/AI workloads and BI ...

SAMYANG AMERICA INC

Sr. Data Architect Specialist

Brea, CA · On-site

$80K - $95K/yr

Partner with Analytics and AI teams to ensure data is structured for advanced use cases and modeling. * Translate business requirements into scalable data architecture solutions. Requirements: * 5+ ...

Saransh Inc

AI/ML Architect

Irvine, CA · On-site

$68.50 - $88/hr

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 ...

MegazoneCloud US

Sr. Solutions Architect AI

Irvine, CA · On-site

Architect and oversee the implementation of enterprise-scale AI/ML and GenAI platforms across AWS ... Design reference architectures on Databricks covering data pipelines, feature stores, model ...

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All JobsAi Data Architect JobsAi Data Architect Jobs in Riverside, CA

Ai Data Architect information

See Riverside, CA salary details

$11

$73

$98

How much do ai data architect jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for ai data architect in Riverside, CA is $73.01, according to ZipRecruiter salary data. Most workers in this role earn between $63.94 and $82.26 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AI Data Architect, and why are they important?

To thrive as an AI Data Architect, you need deep expertise in data modeling, database design, and AI/ML concepts, often backed by a degree in computer science, engineering, or a related field. Familiarity with cloud platforms (such as AWS, Azure, or Google Cloud), big data frameworks (like Hadoop and Spark), and certifications in cloud architecture or data engineering are highly valued. Strong analytical thinking, problem-solving skills, and effective communication are crucial for collaborating across teams and translating business needs into scalable data solutions. These skills ensure robust, efficient AI systems that support organizational goals and drive innovation.

What is an AI Data Architect?

An AI Data Architect is a professional who designs, builds, and manages the data infrastructure necessary for artificial intelligence (AI) and machine learning (ML) systems. They ensure that data is collected, stored, processed, and made accessible in a way that supports AI applications. Their responsibilities include selecting appropriate data storage solutions, creating data models, establishing data pipelines, and maintaining data quality and security. AI Data Architects work closely with data scientists, engineers, and business stakeholders to translate business needs into robust data solutions that enable AI-driven insights and automation.

How does an AI Data Architect typically collaborate with data engineers, data scientists, and other stakeholders within an organization?

An AI Data Architect plays a central role in bridging the gap between data engineering, data science, and business stakeholders. They design and oversee the data infrastructure required for AI applications, working closely with data engineers to ensure pipelines are scalable and secure. In collaboration with data scientists, they help define data requirements and optimize data flows for model training and deployment. Frequent communication with product managers and business leaders helps align the data architecture with organizational goals and regulatory standards, making adaptability and strong interpersonal skills key components of the role.

What is the difference between Ai Data Architect vs Data Engineer?

AspectAi Data ArchitectData Engineer
CredentialsBachelor's/Master's in CS, Data Science, or related; certifications in cloud platforms or data architectureBachelor's/Master's in CS, Software Engineering, or related; certifications in cloud or data tools
Work EnvironmentDesigning data architecture for AI models, collaborating with data scientists and AI teamsBuilding and maintaining data pipelines, managing data storage and processing systems
Industry UsageUsed in AI-focused companies, tech firms, and organizations deploying AI solutionsCommon across industries for data management, analytics, and infrastructure

The Ai Data Architect focuses on designing data systems optimized for AI applications, working closely with data scientists. In contrast, Data Engineers build and maintain the data pipelines and infrastructure needed for data processing. Both roles require similar technical skills and certifications but serve different functions within data ecosystems.

What are popular job titles related to Ai Data Architect jobs in Riverside, CA? For Ai Data Architect jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Ai Data Architect jobs in Riverside, CA look for? The top searched job categories for Ai Data Architect jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Ai Data Architect jobs? Cities near Riverside, CA with the most Ai Data Architect job openings:
Ai Data Architect jobs near you

(Director/ VP Level) Senior AI Solution Architect - Data & AI Platforms(Databricks Eco system)

Balin Technologies LLC

Santa Ana, CA • On-site

Other

Posted 25 days ago

Job description

Job Title: Senior AI Solution Architect - Data & AI Platforms(Databricks Eco system)

Location: Santa Ana, CA(4days/ Week)
Duration: 6 Months (CTH)
Job Description: Primary Skills: Big Query, Vertex AI, Cloud Storage, Dataflow, Dataproc, Pub/Sub, Looker,Data Architecture, AI/ML platforms, and Generative AI solutions,datalake house architectures, modern BI platforms, ML/MLOps, Conversational Analytics, Generative AI, and Agentic AI frameworks
Secondary Skills: Looker, Tableau, Power BI, SQL, Python, Spark, Kafka

Experience

10-15+ years overall experience (with 5+ years in AI/Data Architecture roles)

Job Summary

We are seeking a highly skilled AI Solution Architect with deep expertise in Data Architecture, AI/ML platforms, and Generative AI solutions, to design and deliver scalable, secure, and enterprise-grade data and AI solutions on Google Cloud Platform (Google Cloud Platform).

The ideal candidate will have strong hands-on experience across datalake house architectures, modern BI platforms, ML/MLOps, Conversational Analytics, Generative AI, and Agentic AI frameworks, and will work closely with business, data engineering, and AI teams to drive end-to-end AI-led transformation.

Key Responsibilities

Data & Platform Architecture

  • Design and own end-to-end data architectures including ingestion, processing, storage, governance, and consumption layers
  • Architect modern data lakehouse platforms using Google Cloud Platform services (e.g., BigQuery, Dataproc, Cloud Storage)
  • Define scalable data platforms supporting batch, streaming, and real-time analytics
  • Establish data governance, metadata management, data quality, lineage, and security frameworks

AI, ML & MLOps Architecture

  • Design ML/AI architectures supporting model training, deployment, monitoring, and lifecycle management
  • Define and implement MLOps frameworks (CI/CD for ML, feature stores, model registries, observability)
  • Collaborate with data scientists to productionize ML models at scale
  • Evaluate and recommend ML frameworks, tools, and best practices

Generative AI & Agentic AI

  • Architect and implement Generative AI solutions using LLMs (e.g., text, code, embeddings, multimodal use cases)
  • Design Conversational Analytics and AI-powered BI solutions
  • Build and evaluate Agentic AI platforms, including autonomous agents, orchestration frameworks, and tool integrations
  • Lead solution evaluations, PoCs, and vendor/tool assessments for GenAI and Agent-based systems

Business Intelligence & Analytics

  • Design modern BI and analytics platforms enabling self-service analytics and AI-driven insights
  • Integrate BI tools with data lakehouse and AI layers
  • Enable semantic layers, metrics definitions, and governed analytics

Cloud & Google Cloud Platform Leadership

  • Lead architecture and solution design on Google Cloud Platform (Google Cloud Platform)
  • Utilize Google Cloud Platform services such as BigQuery, Vertex AI, Cloud Storage, Dataflow, Dataproc, Pub/Sub, Looker, and IAM
  • Ensure architectures follow best practices for security, scalability, performance, and cost optimization

Stakeholder & Technical Leadership

  • Partner with business leaders to translate business requirements into AI-driven solutions
  • Lead technical design reviews and architecture governance
  • Mentor engineers, architects, and data scientists
  • Create architecture blueprints, reference architectures, and technical documentation

Required Skills & Qualifications

Core Technical Skills

  • Strong experience in Data Architecture & Data Platforms
  • Hands-on expertise in Data Lakehouse architectures
  • Deep understanding of end-to-end data management
  • Experience with modern BI platforms and analytics ecosystems
  • Strong background in AI/ML architecture and MLOps
  • Proven experience in Conversational Analytics and Generative AI
  • Hands-on exposure to Agentic AI platforms, frameworks, and evaluations
  • Strong expertise in Google Cloud Platform (Google Cloud Platform)

Tools & Technologies (preferred)

  • Google Cloud Platform: BigQuery, Vertex AI, Cloud Storage, Dataflow, Dataproc, Pub/Sub, Looker
  • AI/ML: TensorFlow, PyTorch, scikit-learn, LLM frameworks
  • MLOps: CI/CD, feature stores, model registries, monitoring tools
  • Data: SQL, Python, Spark, Kafka
  • BI: Looker, Tableau, Power BI (or equivalent)

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