Centraprise
AI Leader / Architect – Agentic AI, GCP and BigQuery | Driving Large-Scale Business Solutions
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Leader/Architect focused on Agentic AI, GCP, and BigQuery in Santa Ana, CA. The 12+ month contract requires expertise in GCP, Data Lakehouse architecture, AI/ML architecture, and relevant certifications. Onsite work is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
909
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🗓️ - Date
July 29, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Santa Ana, CA
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🧠 - Skills detailed
#Data Lakehouse #Data Lake #GCP (Google Cloud Platform) #Looker #Python #Dataflow #Storage #Cloud #Microsoft Power BI #Monitoring #Spark (Apache Spark) #AI (Artificial Intelligence) #Batch #Tableau #SQL (Structured Query Language) #BI (Business Intelligence) #Kafka (Apache Kafka) #ML (Machine Learning) #Data Engineering #BigQuery
Role description
AI Leader / Architect – Agentic AI, GCP and BigQuery | Driving Large-Scale Business Solutions
Santa Ana, CA
12+ Months Contract
• 5 Days Onsite
Job Description:
Must-Have Skills:
• Google Cloud Platform (GCP): BigQuery, BigLake, Vertex AI, Cloud Storage, Dataflow, Dataproc, Pub/Sub, Looker
• Data Lakehouse Architecture (batch, streaming, real-time)
• AI / ML Architecture & MLOps (CI/CD, feature stores, model registry, monitoring)
• Generative AI & Agentic AI
• Vertex AI Agent Builder
• Conversational AI / Conversational Analytics
• AI governance, lineage, hallucination & error-loop handling
Technical Stack:
• Python, SQL
• Spark
• Kafka / Streaming
• BI Tools: Looker, Tableau, Power BI
Preferred:
• GCP Certifications (Data Engineer / ML Engineer / Cloud Architect)
AI Leader / Architect – Agentic AI, GCP and BigQuery | Driving Large-Scale Business Solutions
Santa Ana, CA
12+ Months Contract
• 5 Days Onsite
Job Description:
Must-Have Skills:
• Google Cloud Platform (GCP): BigQuery, BigLake, Vertex AI, Cloud Storage, Dataflow, Dataproc, Pub/Sub, Looker
• Data Lakehouse Architecture (batch, streaming, real-time)
• AI / ML Architecture & MLOps (CI/CD, feature stores, model registry, monitoring)
• Generative AI & Agentic AI
• Vertex AI Agent Builder
• Conversational AI / Conversational Analytics
• AI governance, lineage, hallucination & error-loop handling
Technical Stack:
• Python, SQL
• Spark
• Kafka / Streaming
• BI Tools: Looker, Tableau, Power BI
Preferred:
• GCP Certifications (Data Engineer / ML Engineer / Cloud Architect)
