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Virtual Agent Jobs in Texas (NOW HIRING)

Google Cloud ML Engineer

Dallas, TX ยท On-site

$55.25 - $73.75/hr

Google Cloud ML Engineer- Vertex AI & CCAI Chat Virtual Agent Expert Location: Dallas, TX (Day1 Onsite) Duration: Long Term We seek an experienced developer to design, build, and deploy advanced ...

Senior ServiceNow Development Manager

Spring, TX ยท Remote

$48 - $66/hr

Lead the evaluation, deployment, and scaling of ServiceNow AI capabilities, including Now Assist, generative AI, AI agents, predictive intelligence, virtual agent, and intelligent workflow automation.

ServiceNow Developer

Dallas, TX

$50.50 - $69.25/hr

Flow Designer, Workflow, Virtual Agent Topics, Integration Hub * Application integrations using APIs, web services, scripts, transform maps, etc. * Scoped Applications * Scripting in ServiceNow

ServiceNow Developer

Dallas, TX

$53.50 - $73.50/hr

Flow Designer, Workflow, Virtual Agent Topics, Integration Hub * Application integrations using APIs, web services, scripts, transform maps, etc. * Scoped Applications * Scripting in ServiceNow

ServiceNow Developer

Dallas, TX ยท On-site

$50.50 - $69.25/hr

Flow Designer, Workflow, Virtual Agent Topics, Integration Hub * Application integrations using APIs, web services, scripts, transform maps, etc. * Scoped Applications * Scripting in ServiceNow

ServiceNow Developer

Dallas, TX

$53.50 - $73.50/hr

Flow Designer, Workflow, Virtual Agent Topics, Integration Hub * Application integrations using APIs, web services, scripts, transform maps, etc. * Scoped Applications * Scripting in ServiceNow

ServiceNow Developer

Dallas, TX ยท On-site

$50.50 - $69.25/hr

Flow Designer, Workflow, Virtual Agent Topics, Integration Hub * Application integrations using APIs, web services, scripts, transform maps, etc. * Scoped Applications * Scripting in ServiceNow

ServiceNow Developer

Dallas, TX

$50.50 - $69.25/hr

Flow Designer, Workflow, Virtual Agent Topics, Integration Hub * Application integrations using APIs, web services, scripts, transform maps, etc. * Scoped Applications * Scripting in ServiceNow

ServiceNow Developer

Dallas, TX ยท On-site

$50.50 - $69.25/hr

Flow Designer, Workflow, Virtual Agent Topics, Integration Hub * Application integrations using APIs, web services, scripts, transform maps, etc. * Scoped Applications * Scripting in ServiceNow

ServiceNow Developer

Dallas, TX ยท On-site

$50.50 - $69.25/hr

Flow Designer, Workflow, Virtual Agent Topics, Integration Hub * Application integrations using APIs, web services, scripts, transform maps, etc. * Scoped Applications * Scripting in ServiceNow

ServiceNow Developer

Dallas, TX

$53.50 - $73.50/hr

Flow Designer, Workflow, Virtual Agent Topics, Integration Hub * Application integrations using APIs, web services, scripts, transform maps, etc. * Scoped Applications * Scripting in ServiceNow

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Showing results 1-20

Virtual Agent information

What are virtual agents?

Virtual agents are software programs or AI-driven systems designed to interact with users, typically through chat or voice, to answer questions, provide customer support, or help with various tasks. They can handle simple inquiries automatically and escalate more complex issues to human agents when needed. Virtual agents are commonly used in customer service, IT support, and other industries to improve efficiency and provide 24/7 assistance.

What does a typical workday look like for a Virtual Agent, and how do they interact with team members remotely?

A typical workday for a Virtual Agent involves handling customer inquiries via chat, email, or phone, resolving issues, providing information, and sometimes escalating complex cases to supervisors. Virtual Agents often work independently but are closely connected to their teams through digital collaboration tools such as Slack, Microsoft Teams, or Zoom. Regular virtual meetings, chat check-ins, and shared knowledge bases help maintain team cohesion and ensure that agents stay informed about updates or procedural changes. This remote structure requires strong self-motivation and excellent communication skills to deliver consistent customer service while staying aligned with team objectives.

What is a virtual agent?

A virtual agent is a software program that uses artificial intelligence to interact with users, often through chat or voice interfaces, to provide customer support or perform tasks. In a job context, virtual agents may require skills in AI, natural language processing, and customer service tools, and they typically work in digital or remote environments.

What is the difference between Virtual Agent vs Customer Service Representative?

AspectVirtual AgentCustomer Service Representative
CredentialsTypically requires technical skills, knowledge of chat platforms, and sometimes certifications in customer support or ITRequires communication skills, customer service experience, and sometimes a high school diploma or equivalent
Work EnvironmentRemote, often AI-driven or chatbot-based interactionsIn-office or remote, handling inbound calls, emails, or live chats
Industry UsageUsed across tech, retail, banking, and telecom sectors for automated or semi-automated supportCommon in retail, telecom, healthcare, and financial services for direct customer interaction

The main difference is that Virtual Agents are often AI-powered or automated tools designed to handle customer inquiries, while Customer Service Representatives are human agents providing direct support. Virtual Agents focus on automation and efficiency, whereas Customer Service Representatives offer personalized assistance.

What are the key skills and qualifications needed to thrive as a Virtual Agent, and why are they important?

To thrive as a Virtual Agent, you need excellent communication skills, problem-solving abilities, and a solid understanding of customer service principles, often supported by a high school diploma or equivalent. Familiarity with customer relationship management (CRM) software, chat platforms, and ticketing systems is typically required. Strong listening skills, patience, and adaptability help Virtual Agents deliver personalized and efficient support. These skills ensure effective remote assistance, enhance customer satisfaction, and contribute to operational efficiency.

How can I make 2000 a week working from home?

A Virtual Agent can potentially earn $2,000 a week by handling a high volume of customer interactions, often through multiple clients or platforms. Success depends on experience, efficiency, and the ability to work flexible hours; some roles may require specific communication skills or certifications. Earning this level of income typically involves working full-time, consistently meeting performance targets, and possibly taking on multiple contracts simultaneously.

How to become a virtual agent?

To become a virtual agent, candidates typically need strong communication skills, proficiency with customer service software, and the ability to work independently. Relevant experience in customer support or technical troubleshooting can be beneficial, and some roles may require specific certifications or training in the company's tools or platforms.

How to make $1000 a week remotely?

A virtual agent can earn $1000 a week by working multiple client accounts, providing high-quality customer support, and developing specialized skills such as CRM software proficiency. Consistent scheduling, excellent communication, and building a strong reputation can help increase earnings in remote customer service roles.
What are the most commonly searched types of Agent jobs in Texas? The most popular types of Agent jobs in Texas are:
What cities in Texas are hiring for Virtual Agent jobs? Cities in Texas with the most Virtual Agent job openings:
Infographic showing various Virtual Agent job openings in Texas as of July 2026, with employment types broken down into 92% Full Time, 5% Part Time, 2% Contract, and 1% Nights. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution.

Google Cloud ML Engineer

MSR Cosmos

Dallas, TX โ€ข On-site

$55.25 - $73.75/hr

Contractor

Re-posted yesterday


Job description

Role: Google Cloud ML Engineer- Vertex AI & CCAI Chat Virtual Agent Expert

Location: Dallas, TX (Day1 Onsite)

Duration: Long Term

We seek an experienced developer to design, build, and deploy advanced conversational AI solutions on Google Cloud. You will leverage Vertex AI, CCAI, and Dialogflow to create intelligent, scalable chatbots that enhance digital customer engagement.

Key Responsibilities

  • Experience architecting, designing, and developing scalable chat Virtual Agent frameworks using Google Vertex AI, with proficiency in Vertex AI Agent Engine and Google Agent Development Kit (ADK).
  • Expertise in building, customizing, and optimizing chatbots and conversational flows with Dialogflow CX/ES, including implementation of advanced intent detection, context management, slot filling, and rich fulfillment.
  • Demonstrated ability to leverage state-of-the-art NLP, LLM, and GenAI models on Vertex AI to enhance chatbot capabilities, such as complex intent handling, summarization, entity extraction, and response generation.
  • Hands-on experience building and maintaining cloud-native chat Virtual Agent solutions using GCP services including CCAI, Vertex AI, Pub/Sub, Cloud Functions, Cloud Run, Cloud Storage, and BigQuery for real-time data processing, analytics, and reporting.
  • Proficiency in training, fine-tuning, and deploying custom LLMs, transformer models, and Retrieval Augmented Generation (RAG) pipelines to advance chat Virtual Agent intelligence.
  • Solid understanding and practical application of MLOps best practices for chatbot pipelines, including automation of training, deployment, testing, monitoring, and versioning with Vertex AI Pipelines, Docker, Kubernetes, and CI/CD workflows.
  • Strong experience developing REST APIs, gRPC, and JSON-based communication for seamless system integration.

Required Qualifications:

  • 6+ years in software development (4+ in NLP/NLU for chat).
  • Advanced Python skills; experience with ML/NLP libraries (Hugging Face, TensorFlow, PyTorch).
  • Proven success building conversational agents with Vertex AI and Dialogflow CX/ES.
  • Proficiency in GCP services and cloud-native architectures.
  • Solid MLOps understanding (Docker, Kubernetes, CI/CD, Git). Experience with Agent Assist functionality is a plus.

Preferred Qualifications:

  • Masterโ€™s/PhD in Computer Science, AI/ML, or related field. GCP certifications (e.g., Google Cloud Certified Professional ML Engineer).
  • Experience with GenAI frameworks (PaLM, Gemini). Integration with CRM, knowledge bases, and live agent systems.
  • Knowledge of security and compliance in chat AI.

Soft Skills:

  • Excellent communication and collaboration.
  • Strong ownership and end-to-end project delivery.
  • Leadership in cross-functional environments.
  • Team Leading and Management.

Checkpoint for quick help

Capability Areaย ย ย ย ย ย ย ย ย ย ย  ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย  Key Skills/Tools

Conversational AI Designย ย ย ย ย ย ย ย ย ย  ย ย ย ย ย ย ย ย ย ย ย  Vertex AI, Dialogflow CX/ES, LLMs, RAG

NLP/ML/GenAIย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย  ย ย ย ย ย ย ย ย ย ย ย  Google ADK, NLU/NLG, fine-tuning, GenAI (PaLM/Gemini)

GCP Engineeringย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย  CCAI, Cloud Functions, Pub/Sub, BigQuery, Cloud Run

MLOps & Automationย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย  ย ย ย ย ย ย ย ย ย ย ย  Vertex AI Pipelines, Docker, Kubernetes, CI/CD

API Development & Integrationย ย  ย ย ย ย ย ย ย ย ย ย ย  Python, RESTful APIs, backend integration