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Technology Architect @ Accenture

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 Posted 30 days ago — confirm the vacancy is still active.

 Technology Architect

Job Description


 About The Role  

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 3 year(s) of experience is required

Educational Qualification :
15 years full time educationSummary:As an AI/ML Data Engineer, 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:?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.
  • 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?Develop CCAI- 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.
  • Apply GenAI-Vertex AI models as part of the solution, ?Ensure proper cloud application pipeline with production-ready quality.
  • Experience with programming languages such as Python/Node.jsProfessional & 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, - Have some 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 5 years of experience in Google Cloud Machine Learning Services.- 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. Qualification 15 years full time education
  • Job Classification

    Industry: IT Services & Consulting
    Functional Area / Department: Engineering - Software & QA
    Role Category: Software Development
    Role: Technical Architect
    Employement Type: Full time

    Contact Details:

    Company: Accenture
    Location(s): Bengaluru

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    Keyskills:   python google machine learning cloud platform platform architecture chatbot algorithms kubernetes cloud services data architecture technology architecture artificial intelligence pca docker ansible node java gcp devops jenkins aws ml

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    Accenture

    Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services—all powered by the w...

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