

CDI Solutions
Sr GCP Architect
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr GCP Architect with a long-term remote contract. Requires 8+ years in AI/ML solution design, 3+ years on GCP, and proficiency in Vertex AI, BigQuery, and MLOps. Preferred certifications include Google Cloud Professional Cloud Architect or ML Engineer.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
March 20, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#BigQuery #Scala #Metadata #Cloud #ML (Machine Learning) #SQL (Structured Query Language) #Data Pipeline #PyTorch #Security #TensorFlow #Compliance #VPC (Virtual Private Cloud) #Data Ingestion #"ETL (Extract #Transform #Load)" #Deployment #AI (Artificial Intelligence) #Data Engineering #Data Management #Storage #GCP (Google Cloud Platform) #Python #IAM (Identity and Access Management) #Monitoring #Dataflow
Role description
Hello
One of my Client is Hiring for GCP Cloud AI Lead / Architect at Remote-USA for Contract
Job Title: GCP Cloud AI Lead / Architect
Work Location: Remote
Contract Duration: Long Term
Summary:
Overview Contract role to design and deliver enterprise AI/ML solutions on Google Cloud (Vertex AI, BigQuery, Dataflow, GKE). Lead architecture, MLOps, and implementation of production ML pipelines.
Key Responsibilities
• Architect end-to-end AI/ML solutions on GCP (data ingestion → training → deployment → monitoring).
• Design scalable data pipelines, feature stores, and model serving (Vertex AI, BigQuery, Dataflow, Pub/Sub, Cloud Storage, GKE).
• Define CI/CD for models, automated training/retraining, deployment strategies and monitoring.
• Ensure security, compliance, governance, and cost optimization (IAM, VPC, KMS).
• Produce architecture docs, diagrams, and POCs; guide/mentor engineering teams.
• Coordinate with stakeholders to translate business needs into ML requirements and KPIs.
Required Qualifications
• 8+ years in AI/ML solution design; 3+ years on GCP.
• Hands-on with Vertex AI, BigQuery (BigQuery ML), Dataflow, Pub/Sub, GKE.
• Experience building production ML pipelines and MLOps (model registry, CI/CD, monitoring).
• Proficient in Python and ML frameworks (TensorFlow/PyTorch/scikit-learn).
• Strong data engineering (SQL, ETL/ELT) and cloud security knowledge.
Preferred:
• Google Cloud Professional Cloud Architect or Professional ML Engineer cert.
• Experience with feature stores (Feast), metadata management, hybrid/multi-cloud.
Thanks & Regards
Rakesh kumar
2010 Crow Canyon Place,Suite 100 San Ramon,CA 94583
Work : 925 488 1943 | Email : rakesh@cdisolutionsinc.com
Hello
One of my Client is Hiring for GCP Cloud AI Lead / Architect at Remote-USA for Contract
Job Title: GCP Cloud AI Lead / Architect
Work Location: Remote
Contract Duration: Long Term
Summary:
Overview Contract role to design and deliver enterprise AI/ML solutions on Google Cloud (Vertex AI, BigQuery, Dataflow, GKE). Lead architecture, MLOps, and implementation of production ML pipelines.
Key Responsibilities
• Architect end-to-end AI/ML solutions on GCP (data ingestion → training → deployment → monitoring).
• Design scalable data pipelines, feature stores, and model serving (Vertex AI, BigQuery, Dataflow, Pub/Sub, Cloud Storage, GKE).
• Define CI/CD for models, automated training/retraining, deployment strategies and monitoring.
• Ensure security, compliance, governance, and cost optimization (IAM, VPC, KMS).
• Produce architecture docs, diagrams, and POCs; guide/mentor engineering teams.
• Coordinate with stakeholders to translate business needs into ML requirements and KPIs.
Required Qualifications
• 8+ years in AI/ML solution design; 3+ years on GCP.
• Hands-on with Vertex AI, BigQuery (BigQuery ML), Dataflow, Pub/Sub, GKE.
• Experience building production ML pipelines and MLOps (model registry, CI/CD, monitoring).
• Proficient in Python and ML frameworks (TensorFlow/PyTorch/scikit-learn).
• Strong data engineering (SQL, ETL/ELT) and cloud security knowledge.
Preferred:
• Google Cloud Professional Cloud Architect or Professional ML Engineer cert.
• Experience with feature stores (Feast), metadata management, hybrid/multi-cloud.
Thanks & Regards
Rakesh kumar
2010 Crow Canyon Place,Suite 100 San Ramon,CA 94583
Work : 925 488 1943 | Email : rakesh@cdisolutionsinc.com





