AI Solution Architect with Prompt Engineering

Overview

Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - Contract

Skills

GCP
Architect
AI
Prompt Engineer

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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.