GEN AI Architect and Prompt Engineer - Remote - ()
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 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. 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. Sriram Chaganti Sr. Talent Acquisition Specialist E-mail: eye Apply tot his job