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Ivr Engineer Jobs in Arizona (NOW HIRING)

Senior AI/ML & IVR Engineer GCP

Scottsdale, AZ · On-site

$105K - $145K/yr

As a Senior AI/ML, IVR, and GCP Engineer, you will architect, develop, and optimize advanced AI/ML solutions and voice automation (IVR) platforms using Google Cloud Platform. You will work closely ...

Avaya Engineer ( AI/ML )

Phoenix, AZ · On-site

$96K - $132K/yr

Avaya Engineer ( AI/ML ) Location: Phoenix, AZ, Charlotte, NC, and Sunrise, FL ( Onsite 5 days a ... Experience designing and supporting IVR and call-routing solutions * Experience integrating AI ...

Experience designing and supporting IVR and call-routing solutions * Experience integrating AI ... Support DevOps processes utilizing GitHub, GitHub Actions, and CI/CD pipelines Ideal Candidate A ...

CCaaS-Five9-GCP-Senior Engineer

Phoenix, AZ · On-site

$54.75 - $70.75/hr

... IVR design, NLU/NLP modeling, intent and flow orchestration, webhook integrations, speech-to-text ... DevOps and Observability. • Experience with automated release management using GitHub Actions ...

Test Automation - Manager

Phoenix, AZ · On-site

$45.75 - $60.25/hr

... bot/IVR Testing, Automation Testing - UFT / QTP, Botium Testing tool, Chatbot Testing ... Drive the adoption of best software engineering practices including CI/CD and automated testing.

The Technical Demo Engineer will partner closely with Solution Consultants by providing the tools ... Comfort working with conversational AI, contact center technologies, or related domains (IVR, IVA ...

The Technical Demo Engineer will partner closely with Solution Consultants by providing the tools ... Comfort working with conversational AI, contact center technologies, or related domains (IVR, IVA ...

The Technical Demo Engineer will partner closely with Solution Consultants by providing the tools ... Comfort working with conversational AI, contact center technologies, or related domains (IVR, IVA ...

... IVR, Computer Telephony Integration platforms (e.g., Genesys, Cisco), NICE Call Recording, etc.) 2+ years of experience using Client ALM/Quality Center for requirements / test case / defect tracking ...

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Showing results 1-20

Ivr Engineer information

What is the difference between Ivr Engineer vs VoIP Engineer?

AspectIvr EngineerVoIP Engineer
Required CredentialsBachelor's in Computer Science or Telecommunications, certifications like CCNA, CCNPBachelor's in Computer Science, certifications like CCNA, CCNP, or VoIP-specific courses
Work EnvironmentTelecommunications companies, call centers, service providersIT firms, telecom providers, enterprise networks
Industry UsageDesigning and maintaining IVR systems for customer interactionImplementing and managing VoIP solutions for voice communication
Common Search/ComparisonYesYes

While both Ivr Engineers and VoIP Engineers work within telecommunications and require similar certifications, Ivr Engineers focus on developing and maintaining interactive voice response systems used for customer service automation. VoIP Engineers specialize in deploying and managing voice over IP solutions for seamless voice communication over networks. The roles often overlap but serve distinct functions within the telecom industry.

What are some common challenges an IVR engineer faces when integrating new systems with existing telephony infrastructure?

IVR Engineers often encounter challenges related to compatibility and seamless integration when connecting new IVR solutions to legacy telephony systems. These can include dealing with outdated hardware, inconsistent data formats, and varying communication protocols. To address these issues, IVR Engineers work closely with IT, network, and telecom teams to conduct thorough assessments, perform rigorous testing, and develop custom middleware if necessary. Overcoming these challenges is essential to ensure reliable call routing and a smooth caller experience.

What are the key skills and qualifications needed to thrive as an IVR engineer, and why are they important?

To thrive as an IVR Engineer, you need a solid understanding of telephony systems, VoIP technologies, and programming languages like Java or Python, typically backed by a degree in computer science or a related field. Familiarity with IVR platforms (such as Genesys, Avaya, or Cisco), SIP protocols, and relevant certifications (like CCNA or specific IVR vendor credentials) is highly valuable. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with cross-functional teams and address user needs. These skills ensure reliable and user-friendly IVR solutions that enhance customer experience and optimize business operations.

What is an IVR engineer?

An IVR Engineer is a technology professional who designs, develops, and maintains Interactive Voice Response (IVR) systems. These systems allow callers to interact with a company's phone system via voice or keypad inputs, automating tasks such as customer support, account inquiries, and information retrieval. IVR Engineers work with telephony platforms, scripting languages, and APIs to create seamless automated call flows. They are also responsible for troubleshooting, optimizing, and ensuring the IVR system meets the business needs and provides a positive user experience.
Infographic showing various Ivr Engineer job openings in Arizona as of August 2026, with employment types broken down into 53% Full Time, and 47% Contract. Highlights an 85% In-person, 2% Hybrid, and 13% Remote job distribution.

Senior AI/ML & IVR Engineer GCP

IntraEdge

Scottsdale, AZ • On-site

$105K - $145K/yr

Full-time

Re-posted 22 days ago


Job description

Position Overview:
As a Senior AI/ML, IVR, and GCP Engineer, you will architect, develop, and optimize advanced AI/ML solutions and voice automation (IVR) platforms using Google Cloud Platform. You will work closely with data scientists, engineers, and product teams to drive innovation and build scalable machine learning and conversational AI systems.

Key Responsibilities:

  • Design, build, and deploy machine learning pipelines and end-to-end AI solutions using GCP services (BigQuery, Vertex AI, Dataflow, Pub/Sub, etc.)

  • 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 performance optimization on GCP

  • Lead technical projects, mentor team members, and ensure best practices in code quality, security, and AI ethics

  • Collaborate with cross-functional teams to integrate AI/ML and IVR capabilities with business applications and customer experiences

  • Develop APIs and cloud-native interfaces for scalable, secure, low-latency access to AI features

  • Ensure compliance and data governance for voice and customer data according to privacy and regulatory standards

Must-Have Skills:

  • Expertise with GCP AI/ML tools (Vertex AI, BigQuery ML, Kubeflow, Dataflow, Cloud Functions)

  • Strong coding skills in Python and/or Java, with experience in ML frameworks (TensorFlow, PyTorch, scikit-learn)

  • Experience building and scaling IVR/Conversational AI systems (Dialogflow, Contact Center AI, Twilio, etc.)

  • Advanced MLOps: CI/CD, containerization (Docker), orchestration (Kubernetes), monitoring, and automation

  • Data engineering skills: ETL/ELT, real-time and batch pipelines

  • Excellent communication, collaboration, and technical leadership abilities

  • Bachelor's degree (minimum), Master's or PhD preferred, in Computer Science, Engineering, or related field

  • 7+ years of experience in AI/ML engineering, cloud platforms, and IVR/conversational applications

Desirable:

  • GCP Professional Certifications (Data Engineer, ML Engineer)

  • Experience with call center, telecom, or enterprise voice automation

  • Knowledge of infrastructure-as-code (Terraform, Cloud Deployment Manager)

Success in This Role:

  • Reliable, high-performance deployment of AI/ML and IVR solutions on GCP

  • Measurable improvements in automation, customer experience, and efficiency

  • Effective collaboration with business, engineering, and product teams


Position Overview:
As a Senior AI/ML, IVR, and GCP Engineer, you will architect, develop, and optimize advanced AI/ML solutions and voice automation (IVR) platforms using Google Cloud Platform. You will work closely with data scientists, engineers, and product teams to drive innovation and build scalable machine learning and conversational AI systems.

Key Responsibilities:

  • Design, build, and deploy machine learning pipelines and end-to-end AI solutions using GCP services (BigQuery, Vertex AI, Dataflow, Pub/Sub, etc.)

  • 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 performance optimization on GCP

  • Lead technical projects, mentor team members, and ensure best practices in code quality, security, and AI ethics

  • Collaborate with cross-functional teams to integrate AI/ML and IVR capabilities with business applications and customer experiences

  • Develop APIs and cloud-native interfaces for scalable, secure, low-latency access to AI features

  • Ensure compliance and data governance for voice and customer data according to privacy and regulatory standards

Must-Have Skills:

  • Expertise with GCP AI/ML tools (Vertex AI, BigQuery ML, Kubeflow, Dataflow, Cloud Functions)

  • Strong coding skills in Python and/or Java, with experience in ML frameworks (TensorFlow, PyTorch, scikit-learn)

  • Experience building and scaling IVR/Conversational AI systems (Dialogflow, Contact Center AI, Twilio, etc.)

  • Advanced MLOps: CI/CD, containerization (Docker), orchestration (Kubernetes), monitoring, and automation

  • Data engineering skills: ETL/ELT, real-time and batch pipelines

  • Excellent communication, collaboration, and technical leadership abilities

  • Bachelor's degree (minimum), Master's or PhD preferred, in Computer Science, Engineering, or related field

  • 7+ years of experience in AI/ML engineering, cloud platforms, and IVR/conversational applications

Desirable:

  • GCP Professional Certifications (Data Engineer, ML Engineer)

  • Experience with call center, telecom, or enterprise voice automation

  • Knowledge of infrastructure-as-code (Terraform, Cloud Deployment Manager)

Success in This Role:

  • Reliable, high-performance deployment of AI/ML and IVR solutions on GCP

  • Measurable improvements in automation, customer experience, and efficiency

  • Effective collaboration with business, engineering, and product teams

Education:Employment Type: FULL_TIME

IntraEdge logo

About IntraEdge

Sourced by ZipRecruiter

At heart, we are a technology, products and services organization In our soul, it’s the people who make us what we are — the professionals we train and connect to next-level opportunities and the experts who create innovative solutions and value for our national and international partners. It’s true that innovative technology can provide a major boost to your business, but you also need the right talent pushing it forward. This critical combination is what we offer all of our partners: cutting edge tech solutions and the expertise to bring it to life.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Chandler, AZ, US

Year founded

2002

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