Job description
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
Good to have skills : Python (Programming Language), Google BigQuery
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As an AI/ML Architect 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 Gen AI models as part of the solution, utilizing deep learning, neural networks and chatbots. Should have hands-on experience in creating, deploying, and optimizing chatbots and voice applications using Google Conversational Agents and other tools.
Roles & Responsibilities:
Solutioning and designing CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist, conversational AI.
Design, develop, and maintain intelligent chatbots and voice applications using Google Dialogflow CX.
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: Proficiency in Google Gemini Enterprise, Conversational Agents (Playbooks), and Dialogflow CX/ES for enterprise conversational AI solutions.
Programming Languages: Python, JavaScript, Node.js
Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification and Experience with LLM orchestration, prompt engineering, and API/webhook integrations,Strong understanding of AI/ML algorithms, NLP and techniques.
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.
Additional Information:
The candidate should have a minimum of 10+ 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.
This job post has been translated by AI and may contain minor differences or errors.
