Google Cloud Platform Cloud Architect

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Empower Professionals, is seeking a Google Cloud Platform Cloud Architect to design and implement cloud solutions using Google Cloud services. The role involves working with Dialogflow CX and Contact Center AI Services to enhance customer engagement and operational efficiency.

Responsibilities

• 5+ years of experience in cloud Solution architecture, preferably with Google Cloud Platform
• Hands-on experience with Dialogflow CX, including flow design, fulfillment, and webhook integration
• Deep understanding of Contact Center AI Services (CCAS) and their application in real-world scenarios
• Experience with webhooks, RESTful APIs, and backend services integration
• Familiarity with Google Cloud Platform services such as Cloud Functions, Cloud Run, Pub/Sub, BigQuery, and IAM
• Strong proficiency in Python for scripting, automation, and API development
• Knowledge of Agentic AI
• Excellent communication and stakeholder engagement skills
• 5+ years of experience in cloud architecture, contact center technologies, or conversational AI
• Proven expertise in Dialogflow CX, including Playbook-based design and orchestration
• Strong knowledge of Generative AI, including LLMs, prompt engineering, and RAG architectures
• Hands-on experience with Google Cloud Platform services: Vertex AI, Cloud Functions, BigQuery, Pub/Sub, App Engine
• Experience with Python, API integrations, webhooks, and real-time data pipelines
• Excellent communication and stakeholder engagement skills

Skills

• Bachelor's or Master's degree in computer science, Engineering, or related field
• 5+ years of experience in cloud Solution architecture, preferably with Google Cloud Platform
• Hands-on experience with Dialogflow CX, including flow design, fulfillment, and webhook integration
• Deep understanding of Contact Center AI Services (CCAS) and their application in real-world scenarios
• Experience with webhooks, RESTful APIs, and backend services integration
• Familiarity with Google Cloud Platform services such as Cloud Functions, Cloud Run, Pub/Sub, BigQuery, and IAM
• Strong proficiency in Python for scripting, automation, and API development
• Knowledge of Agentic AI
• Excellent communication and stakeholder engagement skills
• 5+ years of experience in cloud architecture, contact center technologies, or conversational AI
• Proven expertise in Dialogflow CX, including Playbook-based design and orchestration
• Strong knowledge of Generative AI, including LLMs, prompt engineering, and RAG architectures
• Hands-on experience with Google Cloud Platform services: Vertex AI, Cloud Functions, BigQuery, Pub/Sub, App Engine
• Experience with Python, API integrations, webhooks, and real-time data pipelines
• Excellent communication and stakeholder engagement skills
• Google Cloud certifications (e.g., Professional Cloud Architect, Professional Cloud Developer)
• Experience with Speech-to-Text, Text-to-Speech, and Agent Assist
• Knowledge of CI/CD pipelines, DevOps practices, and containerization (Docker/Kubernetes)
• Experience with conversational analytics and performance optimization
• Familiarity with enterprise contact center platforms (e.g., Genesys, Five9, Twilio)
• Hands on knowledge using Gen AI, Playbooks & CCAI Insights
• Google Cloud certifications: Professional Cloud Architect, CES Specialization
• Experience with multi-channel bot architecture and contact center platforms
• Background in enterprise solution architecture, AI/ML systems, or cloud-native design

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