Google Cloud Platform Architect with AI

New York, NY, US • Posted 4 days ago • Updated 4 days ago

Contract Corp To Corp

Contract Independent

Contract W2

No Travel Required

On-site

Depends on Experience

Fitment

Dice Job Match Score™

👤 Reviewing your profile...

Job Details

Skills

Google Cloud
Generative Artificial Intelligence (AI)
GCP Architect
Architect
Vertex AI
BigQuery ML
Cloud Storage
Kubernetes (GKE)
AI/ML
prompt engineering
RLHF
RAG techniques
RAG
GCP services
LLM
ML
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Google Cloud Platform
PyTorch
Python
Orchestration
Vertex

Summary

Job Title: Google Cloud Platform with AI/ML Expertise:

Location: New York City, NY (Onsite)

Job Summary:

We are seeking an experienced Google Cloud Platform Architect with AI/ML expertise to design, architect, and implement scalable, secure, and high-performance cloud solutions on Google Cloud Platform (Google Cloud Platform). The ideal candidate will have deep expertise in Google Cloud Platform services and strong hands-on experience in Artificial Intelligence and Machine Learning technologies. This role involves leading cloud transformation initiatives, designing AI-driven solutions, and guiding engineering teams in best practices.

Key Responsibilities:

Design and architect scalable, secure, and cost-effective cloud solutions on Google Cloud Platform.
Lead AI/ML solution design using Google Cloud Platform services such as Vertex AI, AI Platform, AutoML, BigQuery ML, and TensorFlow.
Develop cloud-native architectures leveraging GKE, Cloud Run, Compute Engine, Cloud Functions, and App Engine.
Implement data pipelines using Dataflow, Pub/Sub, Dataproc, and BigQuery.
Design MLOps frameworks for model training, deployment, monitoring, and lifecycle management.
Ensure security, compliance, and governance using IAM, VPC, Cloud Armor, and encryption best practices.
Optimize cloud performance and cost management strategies.
Provide technical leadership and mentor engineering teams.
Collaborate with stakeholders to translate business requirements into technical solutions.
Stay updated with emerging AI and Google Cloud Platform technologies.

Required Skills & Qualifications:

8+ years of overall IT experience with 4+ years in Google Cloud Platform architecture.
Strong hands-on experience with Google Cloud Platform services.
Expertise in AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
Experience with Vertex AI, AutoML, BigQuery ML, or similar ML platforms.
Strong understanding of data engineering concepts and real-time data processing.
Experience in containerization (Docker) and orchestration (Kubernetes/GKE).
Knowledge of Infrastructure as Code (Terraform/Deployment Manager).
Strong programming skills in Python, Java, or Go.
Experience implementing CI/CD pipelines for ML and cloud deployments.
Understanding of cloud security best practices and compliance standards.

Preferred Qualifications

Google Professional Cloud Architect Certification.
Google Professional Machine Learning Engineer Certification.
Experience with Generative AI, LLMs, or prompt engineering.
Experience in hybrid/multi-cloud environments.
Strong communication and stakeholder management skills.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90999382
Position Id: 8885535
Posted 4 days ago

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.