GEN AI Architect and Prompt Engineer

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.