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Virtual Chatbot Jobs (NOW HIRING)

UnitedHealth Group

Lead AI/ML Engineer - Remote

Schaumburg, IL · On-site +1

$100K - $132K/yr

Experience architecting, designing, and maintaining solution/network architecture diagrams for conversational chatbot solutions, virtual assistants, or natural language processing (NLP) applications

UnitedHealth Group

Lead AI/ML Engineer - Remote

Schaumburg, IL · On-site +1

$100K - $132K/yr

Experience architecting, designing, and maintaining solution/network architecture diagrams for conversational chatbot solutions, virtual assistants, or natural language processing (NLP) applications

Palnar

MS Power Platform Developer

... Power Virtual Agent chatbot to deliver generic and user-specific information based on authentication status. • Develop an app for inputting and managing trainings, integrating with a system for ...

ACI Infotech

Genesys SME/Architect

... virtual assistants using the Genesys CloudEx platform or similar technologies Proficiency in programming languages such as JavaScript, Python, or Java, with experience in chatbot development ...

Perfict

AI Enigneer (Copilot Studio)

Dublin, CA · On-site

... Chatbot build experience with real examples • Support & troubleshooting mindset • Strong ... Virtual Agents) • Azure (backend foundations) • Microsoft ecosystem collaboration • Hybrid ...

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Virtual Chatbot information

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How much do virtual chatbot jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for virtual chatbot 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 are the key skills and qualifications needed to thrive as a Virtual Chatbot, and why are they important?

To thrive as a Virtual Chatbot, you require expertise in natural language processing (NLP), conversational AI frameworks, and programming languages like Python or JavaScript. Familiarity with chatbot development platforms (such as Dialogflow, Microsoft Bot Framework, or IBM Watson), and experience with machine learning models are typically necessary. Strong problem-solving skills, creative thinking, and effective communication help design engaging, user-friendly interactions. These skills ensure the chatbot can accurately understand user intent, provide helpful responses, and continually improve user satisfaction.

What are Virtual Chatbots?

Virtual chatbots are computer programs designed to simulate human conversation through text or voice interactions. They are commonly used on websites, messaging apps, and customer service platforms to assist users, answer questions, or guide them through various processes. Chatbots use artificial intelligence and natural language processing to understand user queries and provide relevant responses. They help businesses improve customer support efficiency by automating common tasks and providing instant assistance around the clock.

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

AspectVirtual ChatbotCustomer Service Representative
Required SkillsBasic programming, AI understanding, communication skillsCommunication, problem-solving, interpersonal skills
Work EnvironmentOnline, remote, AI-driven platformsCall centers, retail stores, offices
Employer & Industry UsageTech companies, e-commerce, customer supportRetail, telecom, banking, hospitality

Virtual Chatbots are AI-powered tools designed to handle customer inquiries automatically, often working online and requiring technical skills. Customer Service Representatives are human employees who provide personalized support in various settings. While both roles aim to assist customers, chatbots automate routine tasks, whereas representatives offer personalized, complex assistance.

What are some common challenges faced by professionals working as Virtual Chatbot developers or trainers?

One common challenge in the role of a Virtual Chatbot developer or trainer is ensuring the chatbot delivers accurate and contextually appropriate responses to diverse user queries. Professionals often need to continuously monitor conversations, identify areas where the chatbot may misunderstand intent, and update training data accordingly. Additionally, collaborating with cross-functional teams such as UX designers, content writers, and product managers is key to refining the chatbot’s performance and user experience. Staying updated with evolving natural language processing (NLP) technologies and user expectations is also essential for long-term success.
More about Virtual Chatbot jobs
What cities are hiring for Virtual Chatbot jobs? Cities with the most Virtual Chatbot job openings:
What are the most commonly searched types of Chatbot jobs? The most popular types of Chatbot jobs are:
What states have the most Virtual Chatbot jobs? States with the most job openings for Virtual Chatbot jobs include:
What job categories do people searching Virtual Chatbot jobs look for? The top searched job categories for Virtual Chatbot jobs are:
Virtual Chatbot jobs near you
Infographic showing various Virtual Chatbot job openings in the United States as of July 2026, with employment types broken down into 2% Locum Tenens, 71% As Needed, 16% Full Time, 4% Part Time, 1% Contract, and 6% Nights. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $50,749 per year, or $24.4 per hour.
Google Advanced Cloud Generative AI Developer

Google Advanced Cloud Generative AI Developer

UNIVERSAL Technologies

Albany, NY • On-site

$55.75 - $76.50/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago

Job description

UNIVERSAL Technologies, LLC is seeking two (2) experienced Google Advanced Cloud & Generative AI Developers for a 50% hybrid position in Albany, NY supporting the development, enhancement, and maintenance of enterprise conversational AI and virtual agent solutions. Qualified candidates must have experience developing Google Cloud Solutions, and programming in Python and JavaScript.

Active LinkedIn preferred, local candidates only. These consulting engagements offer the potential for extension and involve collaborating across multiple initiatives to support existing AI-powered chatbot applications while designing and implementing innovative cloud-based generative AI solutions. The ideal candidates will possess strong expertise in Google Cloud Platform (Google Cloud Platform), conversational AI technologies, generative AI, and full-stack application development using Python and JavaScript.

***Approximately 1-year contracts with the potential for ongoing renewals

WHO WE ARE

UNIVERSAL Technologies, LLC is a Women-Owned (M/WBE) IT solutions and consulting company focused on delivering enterprise systems and professional services across Application Development, Business Analysis, Project Management, Cyber Security, Data Analytics, Infrastructure, and Systems Architecture. We partner with public and private sector organizations to provide highly skilled technology professionals who drive business transformation and operational excellence.

WHAT WE OFFER

  • Competitive Compensation
  • Health, Dental, and Vision Benefits
  • Group Life Insurance
  • 401(k) Retirement Plan
  • Health Savings Account (HSA) and Flexible Spending Account (FSA)
  • Pre-Tax Transportation Benefits
  • Generous Paid Time Off and Holiday Package
  • Professional Development Opportunities

MANDATORY SKILLS / EXPERIENCE

  • Bachelor''s degree in Computer Science, Information Technology, Software Engineering, or a related discipline.
  • Minimum five (5) years of professional experience developing enterprise cloud-based applications.
  • Minimum two (2) years of hands-on experience developing solutions within Google Cloud Platform (Google Cloud Platform).
  • Minimum two (2) years of experience developing chatbot or conversational AI solutions using Google Dialogflow or similar technologies.
  • Experience designing, developing, and implementing Generative AI applications, AI agents, and intelligent virtual assistants.
  • Strong knowledge of Retrieval-Augmented Generation (RAG) architecture, implementation strategies, and prompt engineering techniques.
  • Experience integrating Large Language Models (LLMs) into enterprise applications.
  • Strong proficiency developing backend services and APIs using Python.
  • Strong proficiency developing frontend and backend applications using JavaScript.
  • Experience designing and deploying cloud-native applications within Google Cloud Platform.
  • Experience developing and maintaining Infrastructure-as-Code (IaC) solutions using Terraform.
  • Experience utilizing Git, GitHub, GitLab, or similar source control platforms.
  • Experience supporting CI/CD pipelines, deployment automation, and modern DevOps practices.
  • Experience producing clean, scalable, maintainable, and well-documented code.
  • Experience participating in code reviews, software testing, deployment, and continuous improvement activities.
  • Experience supporting, troubleshooting, enhancing, and maintaining enterprise production applications.
  • Experience collaborating directly with business stakeholders, customers, and cross-functional technical teams to gather requirements and deliver technical solutions.
  • Experience with Dialogflow CX, Conversational Agents, and Playbooks.
  • Experience working with a variety of Generative AI platforms, frameworks, and cloud AI services.
  • Experience with Machine Learning or AI model development.
  • Experience developing analytics and reporting solutions using Looker and LookML.
  • Familiarity with Agile software development methodologies and DevOps best practices.
  • Excellent analytical, troubleshooting, and problem-solving skills.
  • Excellent verbal, written, and interpersonal communication skills.
  • Ability to work independently and collaboratively within cross-functional teams.
  • Customer-focused mindset with experience supporting business stakeholders and end users.
  • Ability to quickly learn new technologies and adapt to evolving project requirements.

SCOPE OF SERVICES

  • Design, develop, enhance, and maintain enterprise chatbot and virtual agent solutions utilizing Google Cloud Platform (Google Cloud Platform).
  • Build, implement, and support conversational AI applications using Google Dialogflow and related technologies.
  • Develop and implement Generative AI agents and intelligent automation solutions utilizing modern AI frameworks and cloud services.
  • Design and implement Retrieval-Augmented Generation (RAG) architectures and prompt engineering strategies to improve AI response quality and performance.
  • Develop and maintain backend services, APIs, and integrations using Python and JavaScript.
  • Support existing production applications by troubleshooting issues, implementing enhancements, and resolving technical defects.
  • Collaborate with business stakeholders, customers, and technical teams to gather requirements and deliver innovative cloud-based AI solutions.
  • Develop clean, scalable, maintainable, and well-documented application code following established development standards and best practices.
  • Participate in code reviews, testing, deployment, and continuous improvement initiatives to ensure software quality and reliability.
  • Develop and maintain infrastructure automation and CI/CD processes utilizing Terraform and Git-based repositories.
  • Contribute to the successful delivery of multiple concurrent conversational AI and cloud application initiatives while ensuring adherence to project timelines and quality standards.

UNIVERSAL Technologies, LLC is an Equal Opportunity Employer.

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