Job Description :
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.

             

Similar Jobs you may be interested in ..