Technology Architect

Project Role : Technology Architect
Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs.
Must have skills : Google Cloud Platform Architecture
Good to have skills : Google Cloud Machine Learning Services
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education

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 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.
- Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification,
- Strong understanding of AI/ML algorithms and techniques.
- Experience with chatbot , generative AI models, prompt Engineering
- Experience with cloud or on-prem application pipeline with production-ready quality.

Additional Information:
- The candidate should have a minimum of 7 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.
- A 15 years full time education is required15 years full time education

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us atwww.accenture.com

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