AI Solutions Architect for Customer Experience Innovation

1 day ago


India SHETHINK Full time

At SHETHINK, we're on a mission to revolutionize customer experiences through cutting-edge AI solutions. As an experienced AIAcademy-certified Google Cloud AI Platform (CCAIP) Developer/Consultant/Tech Architect, you'll design, implement, and maintain AI-driven applications that transform the way businesses interact with their customers.

Our ideal candidate will leverage industry-leading tools like Vertex AI, Gemini Pro/Flash, and Dialogflow CX to develop conversational interfaces, optimize customer interactions, and integrate AI with existing systems.

We offer a competitive salary of approximately $150,000 per annum, plus benefits and opportunities for growth and development in a dynamic team environment.

Key Responsibilities:
  • Conversational Interface Development: Build seamless, natural conversations using Dialogflow CX.
  • Agent Assist Optimization: Improve customer service and agent efficiency by optimizing Agent Assist solutions.
  • Data Ingestion and Model Training: Implement Vertex AI workflows for data ingestion, model training, and deployment.
  • Real-Time Analytics and Data Processing: Utilize Gemini Pro/Flash for high-performance data processing and real-time analytics.
  • Legacy System Integration: Develop in-house AI models and integrate with legacy contact center systems.
  • Technical Collaboration: Work closely with teams to translate business requirements into technical solutions.
  • Solution Scalability and Security: Ensure scalability, performance, and security of AI applications.
Qualifications:
  • Education: Bachelor's degree in Computer Science, Engineering, or a related field.
  • Experience: 5+ years in AI/ML development, with 3+ years focused on Google Cloud AI Platform.
  • Technical Expertise: Hands-on expertise in Vertex AI, Gemini Pro/Flash, Dialogflow CX, and Agent Assist.
  • Programming Languages: Proficiency in Node.js, Python, Java, and proficiency in data processing tools like BigQuery and Looker.
  • Integration Experience: Experience integrating AI with legacy systems, such as UJET.

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