Google CCAI Architect

1 week ago

Toronto, Ontario, Canada Cognizant Technology Solutions Full time

Job Summary

An AI Expert and Prompt Engineer is a specialized role focused on developing and optimizing conversational AI agents on the Google Cloud Platform GCP. This role combines an understanding of AI architecture with the linguistic and creative skills of a prompt engineer to ensure that AI agents are not only technically sound but also effective engaging and aligned with business goals.

Responsibilities

This roles responsibilities are divided into two primary areas. AI architecture and prompt engineering.

AI Architecture and Development

  • 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 and related services.
  • Integrations Build and manage integrations between conversational agents and various backend systems APIs and other Google Cloud services.
  • Lifecycle Management 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 and 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 and Ethics Ensure that AI generated content is high quality on brand and adheres to responsible AI principles including safety and fairness.

Required Skills and Qualifications

To succeed in this role a candidate needs a blend of technical expertise linguistic aptitude and strong communication skills.

  • Technical Proficiency
  • GCP Extensive hands on experience with Google Cloud Platform specifically Vertex AI Dialogflow CX and other conversational AI services.
  • Programming Proficiency in programming languages like Python is essential for building integrations automating tasks and analyzing data.
  • APIs and Data Experience with REST APIs webhooks and data management systems.
  • Conversational Expertise
  • Linguistics A strong understanding of human language syntax and conversational nuances.
  • Prompt Engineering Proven experience in crafting effective prompts for Large Language Models LLMs and generative AI.
  • Conversation Building: Experience in designing and building engaging and logical conversations.
  • Soft Skills
  • Problem-Solving Strong analytical and critical thinking skills to diagnose and resolve complex technical and conversational issues.
  • Collaboration Excellent communication and collaboration skills to work effectively with cross-functional teams including developers product managers and business stakeholders.
  • Adaptability The ability to stay up to date with the rapidly evolving field of AI and quickly learn new tools and techniques.

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