Senior Prompt Architect / AI Interaction Strategist

Role: Senior Prompt Architect / AI Interaction Strategist Location: Las Vegas (preferred) or remote USA

JD below: Responsibilities:
This role's responsibilities are divided into two primary areas: AI architecture and prompt engineering.
AI Architecture & Development / Support
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), Playbooks, Conversational Agents 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.
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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.