Overview
Skills
Job Details
Title : AI Solution Architect
Location : Remote/ Onsite at LasVegas, NV
Duration : Contract
Responsibilities
This role's responsibilities are divided into two primary areas: Al architecture and prompt engineering.
Architecture & Development / Support
Design and Implement Al Solutions: Architect, design, and deploy end-to-end conversational Al agents and virtual assistants platform Expertise: Utilize a deep knowledge of Google Cloud Platform AI technologies, including Vertex AL, Dialog flow CX, Conversational AI (C Integrations: Build and manage integrations between conversational agents and various backend systems, APIs, and other Google
Lifecycle Management: Manage the full lifecycle of AI agents, from initial proof-of-concept to production deployment and ongoing best practices.
Prompt Engineering & Conversation Building
Prompt Design: Craft and refine prompts and instructions for generative Al models to ensure accurate, relevant, and helpful resp Conversation Design: Design natural and effective conversational flows for both voice and chat agents. This involves defining us Agent Tuning: Tune and optimize NU (Natural Language Understanding) models and Al agent performance through data analysis and Content & Ethics: Ensure that Al-generated content is high-quality, on-brand, and adheres to responsible AI principles
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 Programming: Proficiency in programming languages like Python 15 essential for building integrations, automating tasks, and analyzi 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 AT.
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, Adaptability: The ability to stay up-to-date with the rapidly evolving field of AI and quickly learn new tools and techniques