Cloud Platform Architect

Cloud Platform Architect

Project Role : Cloud Platform Architect
Project Role Description : Oversee application architecture and deployment in cloud platform environments -- including public cloud, private cloud and hybrid cloud. This can include cloud adoption plans, cloud application design, and cloud management and monitoring.
Must have skills : Google Cloud Platform Architecture
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
As an AI/ML technical lead, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI/ Google Customer Experience and GenAI models as part of the solution, utilizing deep learning, neural networks and chatbots.
Roles & Responsibilities:
Design and develop CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist.
Develop and implement chatbot solutions that integrate seamlessly with CCAI and other Cloud services
Integrate Dialogflow agents with various platforms, such as Google Assistant, Facebook Messenger, Slack, and websites. Hands-on experience with IVR integration and telephony systems such as Twilio, Genesys, Avaya
Integrate with IVR systems and Proficiency in webhook setup and API integration.
Develop Dialogflow CX - flows, pages, webhook as well as playbook and integration of tool into playbooks.
Creation of agents in Agent builder and integrating them into end end to pipeline using python.
Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing.
Work with Google Vertex AI for building, training and deploying custom AI models to enhance chatbot capabilities
Implement and integrate backend services (using Google Cloud Functions or other APIs) to fulfill user queries and actions.
Document technical designs, processes, and setup for various integrations.
Experience with programming languages such as Python/Node.js
Professional & Technical Skills:
Must To Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding. Proficiency in Google Gemini Enterprise, Conversational Agents (Playbooks), and Dialogflow CX/ES for enterprise conversational AI solutions.
Certifications: Cloud Data Architecture, Cloud ML/PCA/PDE Certification,
Experience with Contact Center AI (CCAI) architecture and deployment, CCaaS platform integrations- Genesys Cloud CX, telephony connectors, and omnichannel routing, Agent Assist- real-time agent guidance, knowledge base surfacing, and smart reply configuration, Genesys Cloud CX.
Programming Languages: Python, JavaScript, Node.js
Good To Have Skills: Experience with LLM orchestration, prompt engineering, and API/webhook integrations, Cloud Data Architecture, Cloud ML/PCA/PDE Certification
Strong understanding of GCP data engineering (BigQuery, Cloud Storage) and data pipelines for model grounding.
Familiarity with conversational design best practices and CI/CD pipelines for AI models.
Additional Information:
The candidate should have a minimum of 7 years of relevant experience and Proficient in Google Cloud Machine Learning Services/ CCAI/Dialogflow CX/Gemini Enterprise Cx/Google Customer experience.
The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions.