About the Role
Job Description Title :GEN AI Architect and Prompt Engineer Location :Las Vegas NV / Remote Duration :Contract 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 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.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 :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 & 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..
Salary: USD 72000 - 108000 per year