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Data Science Architect Jobs in California (NOW HIRING)

Saransh Inc

AI/ML Architect

Irvine, CA · On-site

$68.50 - $88/hr

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 ...

Corvel

Data Science Manager

Irvine, CA · On-site

$119K - $197K/yr

The Manager Data Science is responsible for architecting, building, and deploying production-grade ... Play a key role in architectural decisions, technical design reviews, governance frameworks for ...

Corvel

Data Science Manager

Irvine, CA · Remote

The Manager Data Science is responsible for architecting, building, and deploying production-grade ... Play a key role in architectural decisions, technical design reviews, governance frameworks for ...

Tapestry

Data Science Manager

Mountain View, CA · On-site

Data Scientists work across the organization to help shape our business and technical strategies by ... Advanced skills in experimental design, including the ability to architect, guide, and validate ...

Tapestry

Data Science Manager

Mountain View, CA

Data Scientists work across the organization to help shape our business and technical strategies by ... Advanced skills in experimental design, including the ability to architect, guide, and validate ...

Forhyre

Data Architect

Los Angeles, CA · On-site

$68.75 - $88.25/hr

We are looking for a Data Architect to build, optimize and maintain conceptual and logical database ... BSc in Computer Science or relevant field

Five9

Vice President, Data Science

San Ramon, CA

Tasks include evaluation of and selection of AI agent architectural frameworks, evaluation and ... The data science team is very much applied - their work directly makes its way into real products ...

Appex Innovation

AI Architect

Irvine, CA · On-site

$80/hr

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 ...

Appex Innovation

AI Architect

Irvine, CA · Hybrid

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 ...

Hinge Health, Inc

Data Science Manager

San Francisco, CA · On-site

$251K - $376K/yr

Establish the foundational data architecture for Hinge Select. You will work with Engineering to ... Bachelor's degree in Computer Science or related field, or equivalent professional experience. * A ...

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All JobsData Science Architect JobsData Science Architect Jobs in California

Data Science Architect information

See California salary details

$10

$69

$92

How much do data science architect jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for data science architect in California is $69.06, according to ZipRecruiter salary data. Most workers in this role earn between $60.48 and $77.84 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data science architect, and why are they important?

To thrive as a Data Science Architect, you need deep expertise in data modeling, machine learning, statistical analysis, and a strong background in computer science or a related field. Familiarity with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure), and advanced programming languages (such as Python or Scala) is typically required, along with relevant certifications. Exceptional problem-solving, leadership, and communication skills help in designing solutions and collaborating across teams. These skills are crucial to building scalable analytics systems that drive business insights and support organizational goals.

How does a data science architect typically collaborate with cross-functional teams during a project?

A Data Science Architect often serves as a bridge between data scientists, engineers, and business stakeholders. They work closely with data engineers to design scalable data pipelines, partner with data scientists to ensure models are deployable, and communicate technical solutions to non-technical business leaders. Effective collaboration involves regular meetings, clear documentation, and aligning project goals across teams. This cross-functional approach ensures that data-driven solutions are both technically robust and tailored to business needs.

What is a data science architect?

A Data Science Architect is a senior professional who designs and oversees the architecture of data science solutions within an organization. They are responsible for creating the frameworks and infrastructure that allow data scientists and analysts to develop, deploy, and scale machine learning models and data analytics processes. Typically, they collaborate with stakeholders to understand business requirements, select appropriate technologies, and ensure that data pipelines and models are robust, secure, and efficient. Data Science Architects also play a vital role in integrating new data sources and technologies into existing systems, and often mentor other data professionals.
Data Science Architect jobs near you
Infographic showing various Data Science Architect job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $143,650 per year, or $69.1 per hour.

AI/ML Architect

Saransh Inc

Irvine, CA • On-site

$68.50 - $88/hr

Contractor

Re-posted 24 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)