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.
Sriram Chaganti
Sr. Talent Acquisition Specialist
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