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Ai Virtual Assistant Discovaz Jobs (NOW HIRING)

ThinkNorth LLC

AI Transformation Lead

Bethesda, MD · On-site

Conversational AI virtual concierge * Intelligent automation eg upgrade allocation fraud detection ... Agentic AI AIdriven assistants * Recommendation systems behavioral analytics * AIled modernization ...

Windstar Cruises

Contact Center AI Lead

Houston, TX · On-site +1

... facing virtual agent, monitoring its performance, maintaining its content, and ensuring it ... Responsibilities * Assist the Training Supervisor with the ongoing administration of the contact ...

Windstar Cruises

... facing virtual agent, monitoring its performance, maintaining its content, and ensuring it ... Responsibilities * Assist the Training Supervisor with the ongoing administration of the contact ...

Internal Career Site

Contact Center AI Lead

Miami, FL · On-site +1

... facing virtual agent, monitoring its performance, maintaining its content, and ensuring it ... Responsibilities * Assist the Training Supervisor with the ongoing administration of the contact ...

Internal Career Site

Contact Center AI Lead

Dallas, TX · On-site +1

... facing virtual agent, monitoring its performance, maintaining its content, and ensuring it ... Responsibilities * Assist the Training Supervisor with the ongoing administration of the contact ...

Internal Career Site

Contact Center AI Lead

Houston, TX · On-site +1

... facing virtual agent, monitoring its performance, maintaining its content, and ensuring it ... Responsibilities * Assist the Training Supervisor with the ongoing administration of the contact ...

Windstar Cruises

Contact Center AI Lead

Miami, FL · On-site +1

... facing virtual agent, monitoring its performance, maintaining its content, and ensuring it ... Responsibilities * Assist the Training Supervisor with the ongoing administration of the contact ...

Packet Fusion

CX Specialist

Pleasanton, CA · On-site

AI & Virtual Agent Integration * Integrations & Automation * Analytics & Optimization * Testing ... Chatbots, NLU, agent assist, coaching tools * Data & Reporting: KPI dashboards, WEM analytics

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Ai Virtual Assistant Discovaz information

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How much do ai virtual assistant discovaz jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for ai virtual assistant discovaz in the United States is $24.40, according to ZipRecruiter salary data. Most workers in this role earn between $20.43 and $27.40 per hour, depending on experience, location, and employer.

What is the difference between Ai Virtual Assistant Discovaz vs Virtual Assistant?

AspectAi Virtual Assistant DiscovazVirtual Assistant
CredentialsTypically no formal credentials required; familiarity with AI tools preferredOften requires organizational, communication, and basic tech skills
Work EnvironmentRemote, technology-driven, AI-focusedRemote or in-office, administrative or customer service settings
Industry UsageUsed in tech, startups, AI companiesUsed across various industries including admin, real estate, healthcare
Search & Comparison IntentUnderstanding AI-powered virtual assistanceGeneral administrative support roles

While Ai Virtual Assistant Discovaz leverages AI technology to automate tasks and assist users, a Virtual Assistant typically provides manual administrative support. Both roles may require strong communication skills, but Ai Virtual Assistant Discovaz focuses on AI integration, making it suitable for tech-savvy environments.

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Ai Virtual Assistant Discovaz jobs near you
Infographic showing various Ai Virtual Assistant Discovaz job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $50,749 per year, or $24.4 per hour.

Conversational AI Engineer

R2 Technologies Corporation

Alpharetta, GA • On-site

Full-time

Re-posted 9 days ago

Job description

Overview:
Description:
Our client is looking for a Conversational AI Engineer to design, implement, and enhance a conversational AI agent leveraging the latest advancements in Generative AI and Natural Language Processing (NLP).
This role will work closely with business stakeholders to understand user needs, analyze AI interactions, and develop intelligent, responsive chatbot experiences. The ideal candidate has experience with Dialogflow CX, Vertex AI, BigQuery, and Looker Studio, as well as a deep understanding of LLMs (Large Language Models), prompt engineering, and fine-tuning AI models.
Tasks:
Develop and optimize a Generative AI-powered virtual assistant to provide accurate, dynamic, and context-aware responses.
Leverage LLMs and fine-tuning techniques within Vertex AI for advanced conversational capabilities.
Implement and refine conversational experiences in Dialogflow CX, incorporating Playbooks and Tools for structured interactions.
Analyze chatbot performance using BigQuery and Looker Studio to identify areas for improvement and enhance response quality.
Create guided conversational flows and prompt engineering strategies to optimize AI responses.
Enhance AI reasoning and retrieval-augmented generation (RAG) techniques to improve the agent's ability to pull in relevant, up-to-date information.
Integrate Google Cloud Functions for seamless backend connectivity and automation.
Work with stakeholders to ensure AI solutions align with business goals and compliance requirements.
Monitor and iterate on AI model performance, implementing continual improvements based on user feedback and analytics.
Knowledge, Skills and Abilities Required:
Strong problem-solving skills and ability to work with both technical and non-technical stakeholders.
Skills Required:
Experience developing AI-powered chat bots or virtual assistants, preferably using Dialogflow CX and Vertex AI.
Strong understanding of Generative AI, LLMs, NLP, and prompt engineering techniques.
Proficiency in Google Cloud Services, including Vertex AI, BigQuery, Looker Studio, and Cloud Functions.
Familiarity with Dialogflow Playbooks and Tools for structured conversational AI development.
Experience analyzing AI performance metrics and improving model accuracy.
Ability to translate business needs into effective Generative AI solutions.
Bachelors or master's degree in computer science, Computer Information Systems, AI, or a related field
Skills Desired:
Familiarity with APIs, cloud security best practices, and AI ethics
Proficiency in Python or JavaScript for AI model integration and automation.
Experience with RAG-based AI approaches to improve knowledge retrieval in conversations.
Experience deploying infrastructure as code using Terraform.
Skills:
NLP

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