Job highlights
Qualifications
- Mandatory Skills: AI ML Solution Architecting
- Experience: 8-10 Years
Responsibilities
- This role’s responsibilities are divided into two primary areas: AI architecture and prompt engineering
- 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
- 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
Job Category: AI
Job Type: Full Time
Job Condition: remote
Geographical Location: U.S. - Nevada
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