GCP Technology Architect

About The Company:

ARA’s client TechGlobal (pseudonym) is a global leader in strategy, technology consulting and digital services, enabling clients in more than 100+ countries to implement cutting edge solutions in their transformation journey. TechGlobal helps businesses become digital-first and digital-ready. The company has a global presence with 600000+ employees ( 200000+ in India). India is a focus for them with their Development Centres presence in over 10 locations across Tier 1 and Tier 2 cities. They are recognised for their people first and employee oriented policies.

The Role:

As an AI/ML 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 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.

Key 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

Skills Required:

Google Cloud Platform Architecture

CCAI/Dialogflow CX hands on experience and generative AI understanding.

•Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, Strong understanding of AI/ML algorithms, NLP and techniques. Experience with chatbot, generative AI models, prompt Engineering.

•Experience with cloud or on-prem application pipeline with production-ready quality.

Qualifications and Experience:

•The candidate should have a minimum of 10 years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI.

•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.

•15 years full time education