AI Solution Architect with Prompt Engineering

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 GCP 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 :

GCP : 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