Project Role : Custom Application Architect Project Role Description : Provide functional and/or technical expertise to plan, analyze, define and support the delivery of future functional and technical capabilities for an application or group of applications. Assist in facilitating impact assessment efforts and in producing and reviewing estimates for client work requests.

Must have skills : Google Cloud Platform Architecture Positive 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.

📌 Custom Application Architect (Coimbatore)
🏢 Accenture in India
📍 Coimbatore