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Conversational Ivr Jobs (NOW HIRING)

RouteThis

OR

$101K - $133K/yr

If you have deep experience in the IVR, contact center, or conversational AI ecosystem and want a high-impact advisory role with a path to a board seat, we would welcome a conversation. We care ...

Edge Global

IVR Lead/Architect

Charlotte, NC · On-site

$54 - $74/hr

Position: IVR Lead/Architect Location: : Charlotte , NC (3 days in a week) Hybrid Job type ... Conversational AI Responsibility :- * Experience with Conversational AI projects, Intent ...

MM International

Genesys IVR developer

Newark, NJ · On-site

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

IntraEdge

Senior AI/ML & IVR Engineer GCP

Scottsdale, AZ · On-site

$105K - $145K/yr

Architect and optimize IVR/Conversational AI systems integrating speech recognition, NLP, and dialog management * Implement robust MLOps for model monitoring, versioning, CI/CD, retraining, and ...

Laiba Technologies LLC

CCaaS Engineer

Charlotte, NC · On-site

Design and implement scalable CCaaS and IVA solutions leveraging leading cloud and enterprise conversational AI/customer service platforms, including conversational IVR design, NLU/NLP modeling ...

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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 Jul 29, 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 July 2026, with employment types broken down into 61% Full Time, and 39% Contract. Highlights an 68% In-person, and 32% Remote job distribution, with an average salary of $91,426 per year, or $44 per hour.
Information Technology_USA - USA_Engineer

Information Technology_USA - USA_Engineer

Real Soft, Inc.

Jacksonville, FL • On-site

$49 - $67/hr

Contractor

Posted 26 days ago

Job description

**Please strictly adhere to the following resume naming convention:
ALL CAPS, NO SPACES B/T UNDERSCORES
PTN_US_GBAMSREQID_CandidateBeelineID
i.e. PTN_US_9999999_SKIPJOHNSON0413
: -/hr
MSP Owner: Kelly Gosciminski
Location: Charlotte, NC - onsite
Duration: 6 months
skill id: 10817208
CCaaS Google Data Engineer
Revised JD:
4+ years of commercial software development experience.
Cloud, GKE, Cloud Run, Cloud Functions, Pub-Sub, Apigee, Big Query, Terraform, RDBMS, No SQL, Maven, GIT, Jenkins, CI/CD, Big data, Scala, Spark, Hive SQL, GCP, Google cloud storage and Big Query, ETL, Data Modeling
Python, AI/ML, Tensorflow, LLM, GenAI
Develop secure, resilient cloud infrastructure on major cloud services provider using services such as GKE, Cloud Run, Cloud Functions, Pub/Sub, Apigee, and BigQuery, implementing IAM, VPC design, encryption, multi-region high availability, and Infrastructure as Code (Terraform) to support enterprise-grade customer experience platforms.
Implement, and optimize CCaaS solutions, including ACD (Automatic Call Distribution), skills-based routing, dialer, omnichannel capabilities, and campaign management, ensuring scalable, secure, and compliant contact center operations.
Have experience in integrations and migrations leveraging CCaaS APIs and telephony capabilities, including CRM/CTI integrations, webhooks, SIP/WebRTC, security configuration, and transition from legacy contact center platforms to Cloud based solutions.
Design, develop, and maintain data pipelines/models/datasets to support CCaaS data platforms while ensuring data quality, reliability, security, and compliance.
Experience building and integrating AI/ML solutions such as Xgboost, SARIMA, Prophet, prompt engineering and TensorFlow into production systems.
Understanding model lifecycle including evaluations, hyperparameters, tuning, and ongoing monitoring, model governance, bias mitigation, and explainability.
Experience with Agile development, CI/CD, DevOps and Observability.
Hands on experience with Kafka, Relational, and/or NoSQL databases.
Understanding of data structures, algorithms, and design patterns
Looks proactively beyond the obvious for continuous improvement opportunities.
Design and implement scalable CCaaS and IVA solutions leveraging leading Cloud and enterprise conversational AI / customer service solutions including conversational IVR design, NLU/NLP modeling, intent and flow orchestration, webhook integrations, speech-to-text/text-to-speech.
Role Descriptions: 4+ years of commercial software development experience.Design and implement scalable CCaaS and IVA solutions leveraging leading Cloud and enterprise conversational AI / customer service solutions including conversational IVR design| NLU/NLP modeling| intent and flow orchestration| webhook integrations| speech-to-text/text-to-speech.Develop secure| resilient cloud infrastructure on major cloud services provider using services such as GKE| Cloud Run| Cloud Functions| Pub/Sub| Apigee| and BigQuery| implementing IAM| VPC design| encryption| multi-region high availability| and Infrastructure as Code (Terraform) to support enterprise-grade customer experience platforms.Implement| and optimize CCaaS solutions| including ACD (Automatic Call Distribution)| skills-based routing| dialer| omnichannel capabilities| and campaign management| ensuring scalable| secure| and compliant contact center operations.Have experience in integrations and migrations leveraging CCaaS APIs and telephony capabilities| including CRM/CTI integrations| webhooks| SIP/WebRTC| security configuration| and transition from legacy contact center platforms to Cloud based solutions.Design| develop| and maintain data pipelines/models/datasets to support CCaaS data platforms while ensuring data quality| reliability| security| and compliance.Experience building and integrating AI/ML solutions such as Xgboost| SARIMA| Prophet| prompt engineering and TensorFlow into production systems.Understanding model lifecycle including evaluations| hyperparameters| tuning| and ongoing monitoring| model governance| bias mitigation| and explainability.Experience with Agile development| CI/CD| DevOps and Observability.Hands on experience with Kafka| Relational| and/or NoSQL databases.Understanding of data structures| algorithms| and design patternsLooks proactively beyond the obvious for continuous improvement opportunities.
Essential Skills: 4+ years of commercial software development experience.Design and implement scalable CCaaS and IVA solutions leveraging leading Cloud and enterprise conversational AI / customer service solutions including conversational IVR design| NLU/NLP modeling| intent and flow orchestration| webhook integrations| speech-to-text/text-to-speech.Develop secure| resilient cloud infrastructure on major cloud services provider using services such as GKE| Cloud Run| Cloud Functions| Pub/Sub| Apigee| and BigQuery| implementing IAM| VPC design| encryption| multi-region high availability| and Infrastructure as Code (Terraform) to support enterprise-grade customer experience platforms.Implement| and optimize CCaaS solutions| including ACD (Automatic Call Distribution)| skills-based routing| dialer| omnichannel capabilities| and campaign management| ensuring scalable| secure| and compliant contact center operations.Have experience in integrations and migrations leveraging CCaaS APIs and telephony capabilities| including CRM/CTI integrations| webhooks| SIP/WebRTC| security configuration| and transition from legacy contact center platforms to Cloud based solutions.Design| develop| and maintain data pipelines/models/datasets to support CCaaS data platforms while ensuring data quality| reliability| security| and compliance.Experience building and integrating AI/ML solutions such as Xgboost| SARIMA| Prophet| prompt engineering and TensorFlow into production systems.Understanding model lifecycle including evaluations| hyperparameters| tuning| and ongoing monitoring| model governance| bias mitigation| and explainability.Experience with Agile development| CI/CD| DevOps and Observability.Hands on experience with Kafka| Relational| and/or NoSQL databases.Understanding of data structures| algorithms| and design patternsLooks proactively beyond the obvious for continuous improvement opportunities.
Desirable Skills:
Keyword:
Skills: Digital : Google Data Engineering
Experience Required:, Project Code :

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