Gen AI Architect and Prompt Engineer

Job highlights Qualifications

• Mandatory
  
  Skills:
  
  AI ML Solution Architecting
• Experience:
  
  8-10 Years

• This role's responsibilities are divided into two primary areas: AI architecture and prompt engineering
• Design and Implement AI Solutions:
  Architect, design, and deploy end-to-end conversational AI agents and virtual assistants on the GCP platform
• Platform Expertise:
  Utilize a deep knowledge of GCP AI technologies, including Vertex AI, Dialogflow CX, Conversational AI (CCAI), Playbooks, Conversational Agents and related services
• Integrations:
  Build and manage integrations between conversational agents and various backend systems, APIs, and other Google Cloud services
• Manage the full lifecycle of AI agents, from initial proof-of-concept to production deployment and ongoing maintenance
• This includes monitoring performance, troubleshooting issues, and implementing MLOps best practices
• Prompt Engineering & Conversation Building
• Prompt Design:
  Craft and refine prompts and instructions for generative AI models to ensure accurate, relevant, and helpful responses
• Conversation Design:
  Design natural and effective conversational flows for both voice and chat agents
• This involves defining user journeys, intents, entities, and state handlers
• Agent Tuning:
  Tune and optimize NLU (Natural Language Understanding) models and AI agent performance through data analysis and iterative refinement
• Content & Ethics:
  Ensure that AI-generated content is high-quality, on-brand, and adheres to responsible AI principles, including safety and fairness