Lead Google Cloud Platform Generative AI Engineer - Remote

Lead Google Cloud Platform Generative AI Expert and Prompt Engineer

An AI Expert and Prompt Engineer is a specialized role focused on developing and optimizing conversational AI agents on the Google Cloud Platform (Google Cloud Platform). 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 role's responsibilities are divided into two primary areas: AI architecture and prompt engineering.

AI Architecture & Development

• Design and Implement AI Solutions: Architect, design, and deploy end-to-end conversational AI agents and virtual assistants on the Google Cloud Platform platform.
• Platform Expertise: Utilize a deep knowledge of Google Cloud Platform AI technologies, including Vertex AI, Dialogflow CX, Conversational AI (CCAI), 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 & 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.

Required Skills & Qualifications

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

• Technical Proficiency:
  • Google Cloud Platform: 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 & 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.