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Google Cloud Platform/ CCAI GECX/ Cloud Centric Architect

Remote • Posted 6 hours ago • Updated 6 hours ago

Contract Corp To Corp

Contract W2

Contract Independent

12 Months

No Travel Required

Remote

Depends on Experience

Fitment

Dice Job Match Score™

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Job Details

Skills

Microservices
Generative Artificial Intelligence (AI)
Good Clinical Practice
Customer Experience
Elasticsearch
Google Cloud
Continuous Integration
Customer Engagement
DevOps
Communication
Conflict Resolution
Problem Solving
Optimization
Orchestration
Performance Monitoring
Continuous Delivery
Google Cloud Platform
AIA
Artificial Intelligence
Prompt Engineering
Cloud Computing
Collaboration
Management
User Experience
Workflow
Stakeholder Management
Python
Reasoning
Vertex
Scalability
Software Design
Telephony
Use Cases
GECX
Google CCAI
CES
Customer Engagement Suite
Dialogflow CX
Dialogflow ES
ADK
Agent Development Kit
Vertex AI
A2A
Agent2Agent
Agentic AI
AI Agents
Generative AI
GenAI
Playbooks
LLM
RAG
Grounding
GCP
Cloud Run
Cloud Functions
Pub/Sub
BigQuery
REST API
Webhooks
CI/CD
Conversational AI
CCAI
Contact Center AI
CCAI Platform
Generative AI for Customer Experience
Conversational AI Architecture
Autonomous Agents
Semi-Autonomous Agents
Agentic Workflows
Google ADK
Vertex AI Agent Builder
Vertex AI Search
Conversation Design
Conversational Orchestration
LLMs
Large Language Models
Retrieval-Augmented Generation
Context-Aware AI
Multi-Step Reasoning
REST APIs
API Integration
Cloud-Native Architecture
Solution Architecture
AI Architecture
Enterprise AI
Multi-Channel AI
Voice AI
Chatbots
Telephony Integration
Cloud Monitoring
Performance Optimization
Security
Cloud Security
GCP Architecture
Backend Integration

Microservices
Generative Artificial Intelligence (AI)
Good Clinical Practice
Customer Experience
Elasticsearch
Google Cloud
Continuous Integration
Customer Engagement
DevOps
Communication
Conflict Resolution
Problem Solving
Optimization
Orchestration
Performance Monitoring
Continuous Delivery
Google Cloud Platform
AIA
Artificial Intelligence
Prompt Engineering
Cloud Computing
Collaboration
Management
User Experience
Workflow
Stakeholder Management
Python
Reasoning
Vertex
Scalability
Software Design
Telephony
Use Cases
GECX
Google CCAI
CES
Customer Engagement Suite
Dialogflow CX
Dialogflow ES
ADK
Agent Development Kit
Vertex AI
A2A
Agent2Agent
Agentic AI
AI Agents
Generative AI
GenAI
Playbooks
LLM
RAG
Grounding
GCP
Cloud Run
Cloud Functions
Pub/Sub
BigQuery
REST API
Webhooks
CI/CD
Conversational AI
CCAI
Contact Center AI
CCAI Platform
Generative AI for Customer Experience
Conversational AI Architecture
Autonomous Agents
Semi-Autonomous Agents
Agentic Workflows
Google ADK
Vertex AI Agent Builder
Vertex AI Search
Conversation Design
Conversational Orchestration
LLMs
Large Language Models
Retrieval-Augmented Generation
Context-Aware AI
Multi-Step Reasoning
REST APIs
API Integration
Cloud-Native Architecture
Solution Architecture
AI Architecture
Enterprise AI
Multi-Channel AI
Voice AI
Chatbots
Telephony Integration
Cloud Monitoring
Performance Optimization
Security
Cloud Security
GCP Architecture
Backend Integration

Summary

Role: Google Cloud Platform / CCAI GECX / Cloud-Centric Architect
Location: Remote – US
Duration: 12 Months

Job Description:

We are seeking a Cloud-Centric Architect with strong expertise in Google Cloud, Conversational AI, and Agentic AI solutions. The ideal candidate should have hands-on experience delivering projects using CCAI, CES, GECX, ADK, Vertex AI, or A2A, along with a very strong foundation in Python.

Candidates do not necessarily need to hold a GECX certification, but they must have direct hands-on knowledge or successfully delivered a project involving one or more of these technologies.

Key Responsibilities:

Architect, develop, and deploy conversational and generative AI solutions using Google CCAI, CES, Dialogflow CX/ES, and GECX.
Build intelligent AI agents and agentic workflows using Playbooks, GenAI, and modern agent frameworks.
Design multi-channel customer experiences across chat, voice, and telephony platforms.
Integrate AI agents with enterprise applications and backend systems through REST APIs, webhooks, microservices, and cloud services.
Leverage Google Cloud Platform services such as Vertex AI, Cloud Functions, Cloud Run, Pub/Sub, and BigQuery to build scalable cloud-native solutions.
Design and optimize intents, entities, conversation flows, prompts, grounding, and context-aware agent behavior.
Develop agentic AI solutions, including autonomosemi-autonomous agents and multi-step reasoning workflows.
Apply LLMs, prompt engineering, RAG, grounding techniques, and GenAI to conversational use cases.
Collaborate with product, UX, engineering, and business teams to translate requirements into scalable AI solutions.
Ensure solutions meet security, scalability, performance, monitoring, reliability, and maintainability standards.
Support CI/CD, deployment automation, troubleshooting, and continuous optimization of AI applications.

Must-Have Skills:

Very strong Python programming skills – MUST
Hands-on project experience with at least one of the following:
- CCAI / CES / GECX
- ADK / Vertex AI
- A2A (Agent2Agent)
Strong knowledge of Google Cloud Platform (Google Cloud Platform) and cloud-native architecture.
Experience with Google Customer Engagement Suite (CES), Dialogflow CX/ES, or GECX.
Strong understanding of AI agents, agentic workflows, Playbooks, and conversational orchestration.
Knowledge of LLMs, GenAI, prompt engineering, RAG, and grounding.
Experience with REST APIs, webhooks, microservices, and system integrations.
Hands-on experience with Vertex AI, Cloud Functions, Cloud Run, Pub/Sub, and BigQuery.
Familiarity with CI/CD, DevOps, monitoring, security, and scalable cloud deployments.

Preferred:

GECX certification or equivalent hands-on GECX experience.
Experience delivering enterprise-grade Conversational AI / Agentic AI projects.
Knowledge of modern Google Agent Development Kit (ADK) and agent-to-agent architectures.
Strong architecture, problem-solving, 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: 9078587
Posted 6 hours ago

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Anchal Khapekar

Recruiter @ Aptino

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Google Cloud Platform/ CCAI GECX/ Cloud Centric Architect

Dice Job Match Score™

Job Details

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Summary

Job Description:

Key Responsibilities:

Must-Have Skills:

Preferred:

Anchal Khapekar

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