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Conversational Ai Engineer Jobs in Arizona (NOW HIRING)

Forhyre

Tech Lead - Conversational AI

Phoenix, AZ

Bachelor's degree in Computer Science, Engineering, or a related field. * Proven experience as a Tech Lead or similar role in developing conversational AI solutions. * Strong programming skills in ...

IntraEdge

Senior AI/ML & IVR Engineer GCP

Scottsdale, AZ

$105K - $145K/yr

Architect and optimize IVR/Conversational AI systems integrating speech recognition, NLP, and ... Data engineering skills: ETL/ELT, real-time and batch pipelines * Excellent communication ...

Conch Technologies Inc

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 ... Voice Analytics and Conversational AI solutions Preferred Experience * Contact center technologies ...

Conch Technologies Inc

AI/ML NLP Engineer

Phoenix, AZ · On-site

Voice Analytics and Conversational AI solutions Preferred Experience * Contact center technologies ... Support DevOps processes utilizing GitHub, GitHub Actions, and CI/CD pipelines Ideal Candidate A ...

Jobtailor

Product Engineer II

Phoenix, AZ · On-site

$120 - $180/hr

Apply prompt engineering techniques to improve answer quality, relevance, and user experience ... Experience delivering AI-powered, conversational, automation, digital assistant, or business ...

Tror AI for everyone

Software Engineer

Phoenix, AZ · On-site

Job Position: - Senior Software Engineer Job Location: - Phoenix AZ (100% onsite) Job Type ... AI / Conversational Platform Exposure: * Good understanding of Google Dialog flow CX or similar ...

IntraEdge

Data Architect

Chandler, AZ · On-site

$61.50 - $79/hr

We are looking for a Data Engineer with strong expertise in AWS, Python, and Conversational ... Implement security best practices across data and AI pipelines * Develop and maintain ...

Apex Informatics

Java AI Developer - Backend AI

Phoenix, AZ · On-site

$50.25 - $65/hr

Integrate AI and conversational platforms into backend systems * Design and build RESTful APIs and microservices * Collaborate with engineering and product teams on scalable solutions Must Haves * 6 ...

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Conversational Ai Engineer information

See Arizona salary details

$29.1K

$120.2K

$216K

How much do conversational ai engineer jobs pay per year?

As of Aug 24, 2026, the average yearly pay for conversational ai engineer in Arizona is $120,177.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,777.00 and $148,544.00 per year, depending on experience, location, and employer.

What is a conversational AI engineer?

A Conversational AI Engineer is a technology professional who designs, develops, and maintains systems that enable computers to interact with humans using natural language. They work on building chatbots, virtual assistants, and voice-enabled applications by leveraging natural language processing (NLP), machine learning, and AI frameworks. Their responsibilities include training language models, optimizing conversation flows, integrating with APIs, and ensuring the overall performance and accuracy of conversational systems. These engineers collaborate with data scientists, UX designers, and software developers to create seamless and intuitive AI-driven user experiences.

What are the key skills and qualifications needed to thrive as a conversational AI engineer?

To thrive as a Conversational AI Engineer, you need strong programming skills (such as Python), a background in natural language processing (NLP), and a degree in computer science or a related field. Familiarity with machine learning frameworks, chatbot platforms, and cloud services like AWS or Google Cloud is typically required, along with experience in tools such as TensorFlow or Rasa. Excellent problem-solving abilities, creativity, and clear communication help engineers design effective, user-friendly conversational systems. These skills ensure the development of robust, scalable, and intuitive AI solutions that meet user needs and business goals.

What are some common challenges conversational AI engineers face when deploying chatbots in production environments?

Conversational AI Engineers often encounter challenges such as ensuring chatbot robustness in handling diverse user inputs and maintaining natural, contextually relevant conversations. Managing scalability and latency is also crucial, as chatbots must perform efficiently under varying loads. Additionally, integrating with legacy systems and safeguarding user data privacy require careful coordination with DevOps and security teams. Continuous model monitoring and updating are essential to keep responses accurate and aligned with user expectations.

What is the difference between Conversational Ai Engineer vs Chatbot Developer?

AspectConversational Ai EngineerChatbot Developer
Required CredentialsBachelor's in CS, AI, or related field; experience with NLP and machine learningTypically programming skills; may have similar technical background
Work EnvironmentCollaborates on AI models, NLP, and user experience designFocuses on building and deploying chatbot interfaces
Employer & Industry UsageTech companies, AI startups, large enterprises integrating conversational AICustomer service, marketing, and sales sectors
Search & Comparison IntentUnderstanding roles in AI development, advanced conversational systemsBuilding specific chatbot applications

While both roles involve creating conversational interfaces, a Conversational Ai Engineer focuses on developing advanced AI models and NLP systems, whereas a Chatbot Developer primarily builds and deploys chatbot applications. The engineer's role is broader, often involving AI research and integration, while the developer concentrates on implementation and user interaction design.

What are popular job titles related to Conversational Ai Engineer jobs in Arizona?

For Conversational Ai Engineer jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Conversational Ai Engineer jobs in Arizona look for?

The top searched job categories for Conversational Ai Engineer jobs in Arizona are:

What cities in Arizona are hiring for Conversational Ai Engineer jobs?

Cities in Arizona with the most Conversational Ai Engineer job openings:

Conversational Ai Engineer jobs near you
Infographic showing various Conversational Ai Engineer job openings in Arizona as of August 2026, with employment types broken down into 6% Internship, 58% Full Time, and 36% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $120,177 per year, or $57.8 per hour.

Product Manager - Conversational AI

Forhyre

Phoenix, AZ • On-site

Full-time

Re-posted 11 days ago

Job description

Are you passionate about the future of AI and its potential to transform business operations?

Join ChatBotz.ai, an innovative company at the forefront of developing intelligent chatbot solutions. We are seeking a highly skilled and motivated Product Manager to lead our Conversational AI team.

As a Product Manager - Conversational AI at ChatBotz.ai, you will play a pivotal role in driving the development and success of our cutting-edge chatbot technology. You will be responsible for overseeing the entire product lifecycle, from ideation to launch and beyond. Your expertise in Conversational AI will shape the future of our chatbot solutions, enabling us to provide personalized and interactive experiences for users.

Responsibilities:

  • Lead the product strategy and vision for our Conversational AI solutions, ensuring alignment with the company's overall goals and objectives.
  • Conduct market research and analysis to identify customer needs, trends, and opportunities in the Conversational AI space.
  • Collaborate with cross-functional teams including engineering, design, and business development to define product requirements and specifications.
  • Drive the product roadmap, making data-driven decisions and prioritizing features and enhancements based on customer feedback and market demand.
  • Work closely with the engineering team to define technical requirements and ensure successful implementation of new features and functionalities.
  • Monitor product performance, conduct user testing, and gather feedback to continuously improve the user experience and optimize product performance.
  • Stay up-to-date with industry trends and advancements in Conversational AI technology, bringing fresh ideas and innovative approaches to drive product innovation.

Requirements:

  • Bachelor's degree in Computer Science, Engineering, or a related field. A Master's degree is a plus.
  • Proven experience as a Product Manager in the AI or Conversational AI industry.
  • Strong knowledge of Conversational AI technologies, including Natural Language Processing (NLP) and Machine Learning (ML).
  • Familiarity with chatbot platforms, frameworks, and tools.
  • Excellent analytical skills with the ability to translate complex technical concepts into clear product requirements.
  • Strong leadership and communication skills to effectively collaborate with cross-functional teams.
  • Experience in Agile software development methodologies.
  • A passion for innovation and a deep understanding of customer needs.

Join ChatBotz.ai today and be part of a dynamic team that is revolutionizing businesses through the power of Conversational AI. Apply now to shape the future of intelligent chatbot solutions!