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Conversational Ivr Jobs (NOW HIRING)

Seven Seven Software

IVR Chatbot Developer

Newark, NJ · On-site

$108K - $126K/yr

Self-Service, API, Conversational Bot Job Requirements Requirements: - Minimum 3 to 5 years development experience implementing self-service IVR and Omni-Channel Orchestration Routing on Genesys ...

Scalence L.L.C.

Cloud Contact Center Developer

Phoenix, AZ · On-site

$55.75 - $76.50/hr

Required : • Deep knowledge of Google CX and Dialogflow CX, including conversational IVR design, NLU/NLP modeling, intent and flow orchestration, and webhook integrations. • Experience in ...

Artech

Cloud Contact Center Developer

Phoenix, AZ

$50 - $55/hr

Deep knowledge of Google CX and Dialogflow CX, including conversational IVR design, NLU/NLP modeling, intent and flow orchestration, and webhook integrations. * Experience in architecting secure ...

METRIX IT SOLUTIONS INC

CCaaS Solution Architect

Phoenix, AZ

$62.50 - $82.50/hr

Role Descriptions: • Design and implement scalable CCaaS and IVA solutions leveraging Google Cloud and Google CX (Dialogflow CX), including conversational IVR design, NLU/NLP modeling, intent and ...

Photon

Conversational Engineer - US

Washington, DC

GPT, BERT) Tangible experience working with ETL, relational databases, NoSQL or MongoDB Worked on Vertex AI and good experience on Voice AI conversation 5+ on Python Nuance IVR/Microsoft Job Info Job ...

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Conversational Ivr information

See salary details

$41.5K

$91.4K

$138K

How much do conversational ivr jobs pay per year?

As of Jun 12, 2026, the average yearly pay for conversational ivr in the United States is $91,426.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,000.00 and $116,500.00 per year, depending on experience, location, and employer.

What is the difference between Conversational Ivr vs Customer Service Representative?

AspectConversational IvrCustomer Service Representative
Required skillsTechnical knowledge, communication skills, problem-solvingCommunication, empathy, problem-solving
Work environmentAutomated systems, call centers, software platformsCall centers, retail, office settings
Industry usageTelecommunications, tech companiesRetail, banking, healthcare

Conversational IVR specialists design and manage automated phone systems that interact with customers, while Customer Service Representatives handle direct customer interactions. Both roles require strong communication skills, but IVR roles focus more on technical system management, whereas representatives focus on personalized customer support.

What is a Conversational IVR?

A Conversational IVR (Interactive Voice Response) is an automated phone system that uses advanced speech recognition and natural language processing to interact with callers in a more human-like and intuitive manner. Unlike traditional IVR systems that rely on touch-tone or rigid voice commands, Conversational IVR allows callers to speak naturally and have their requests understood and routed appropriately. This technology improves customer experience by reducing wait times, minimizing frustration, and quickly connecting users to the information or assistance they need.

What are some common challenges faced when designing and managing a Conversational IVR system?

One common challenge in managing a Conversational IVR (Interactive Voice Response) system is ensuring that the voice interface accurately understands and responds to a wide variety of customer accents, intents, and phrasings. Additionally, balancing the system's automation with the need for seamless hand-offs to human agents can be complex, especially for nuanced or sensitive issues. Regularly updating the system based on user feedback and analyzing call data are crucial for improving performance and user satisfaction. Collaboration with developers, linguists, and customer service teams is essential to maintain and enhance the IVR experience.

What are the key skills and qualifications needed to thrive as a Conversational IVR Specialist, and why are they important?

To thrive as a Conversational IVR Specialist, you need expertise in voice user interface (VUI) design, natural language processing (NLP), and experience with IVR systems, often supported by a degree in computer science or a related field. Familiarity with platforms such as Genesys, Avaya, or Amazon Lex, as well as scripting languages and call flow design tools, is typically required. Strong problem-solving, collaboration, and communication skills help you understand user needs and work effectively with cross-functional teams. These skills ensure the creation of intuitive, efficient IVR experiences that boost customer satisfaction and operational efficiency.
More about Conversational Ivr jobs
What cities are hiring for Conversational Ivr jobs? Cities with the most Conversational Ivr job openings:
What states have the most Conversational Ivr jobs? States with the most job openings for Conversational Ivr jobs include:
What job categories do people searching Conversational Ivr jobs look for? The top searched job categories for Conversational Ivr jobs are:
Conversational Ivr jobs near you
Infographic showing various Conversational Ivr job openings in the United States as of June 2026, with employment types broken down into 9% Full Time, 90% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $91,426 per year, or $44 per hour.

Conversational AI / Kore AI

VeeRteq Solutions Inc.

Charlotte, NC • On-site

Contractor

Posted 10 days ago

Job description

Position Details:

Job Title: Conversational AI / Kore AI

Work Location: Charlotte, NC

Duration: Long Term 

Job Description

  • At least 5+ years relevant technical work experience, at least developing and implementing Conversational AI.
  • Overall experience 8 to 10 years.
  • Experience with Conversational AI projects and KoreAI, intent identification, and LLM development.
  • Strong expertise in developing conversational AI applications (chatbots, IVR systems, virtual assistants).
  • Proficiency in integrating AI solutions with RESTful APIs and external services.
  • Develop and optimize natural language understanding (NLU) and natural language processing (NLP) models to improve accuracy and user intent identification.
  • Integrate conversational AI solutions with external systems, web services, APIs, and databases.
  • Knowledge of machine learning algorithms and techniques.
  • Ensuring scalability and maintainability.
  • Stay updated with the latest trends in Conversational AI and Generative AI technologies, contributing to continuous improvement.
  • Knowledge in testing, debugging, and performance optimization of conversational AI applications.
  • At least 5+ years relevant technical work experience, at least developing and implementing Conversational AI.
  • Overall experience 8 to 10 years.
  • Experience with Conversational AI projects and KoreAI, intent identification, and LLM development.
  • Strong expertise in developing conversational AI applications (chatbots, IVR systems, virtual assistants).
  • Proficiency in integrating AI solutions with RESTful APIs and external services.
  • Knowledge of web services, data retrieval, and integrations.
  • Hands-on experience with conversational AI platforms, frameworks, and tools.
  • Collaborate with cross-functional teams to design, develop, and deploy conversational AI applications using KoreAI across IVR, chat, and voice platforms.
  • Build and refine chatbots, virtual assistants, and IVR systems that provide intuitive and effective user interactions.
  • Develop and optimize NLU and NLP models to improve accuracy and user intent identification.
  • Integrate conversational AI solutions with external systems, web services, APIs, and databases.
  • Ensuring scalability and maintainability.
  • Stay updated with the latest trends in Conversational AI and Generative AI technologies, contributing to continuous improvement.
  • Knowledge in testing, debugging, and performance optimization of conversational AI applications.