1

Chatbot Conversational Ai Jobs (NOW HIRING)

Required Qualifications * 8+ years software delivery experience * 3+ years of Chatbot development experience with IBM WatsonX Orchestrate , or any other similar chatbot conversational AI tool (i.e ...

As soon as possible Sr. developers with experience in conversational AI system (chatbot) from any one of the big vendors. The main vendors for this type of solution are: * IBM (Watson) * Google ...

Lead Conversational AI Developer

Adelphi, MD · On-site

$130 - $145/hr

  • Medical

  • Life

  • Retirement

  • PTO

Lead Conversational AI Developer Full‑time, Exempt, Pay Grade 4.2. Hybrid work location ... Leverage generative AI services to enhance chatbot responses with creativity and personalization.

New

What you bring * 3-5 years of experience in conversational AI, knowledge management, chatbot administration, or similar roles managing customer-facing digital channels. * Hands-on experience with ...

Conversational AI Operations Specialist

New York, NY · On-site

$60K - $90K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

About The Role Fora is seeking a Conversational AI Operations Specialist to maintain, optimize, and improve Sidekick, our AI advisor support chatbot. Join our Conversational AI team and play a ...

Showing results 41-60

Chatbot Conversational Ai information

See salary details

$67.5K

$118K

$184K

How much do chatbot conversational ai jobs pay per year?

As of Aug 20, 2026, the average yearly pay for chatbot conversational ai in the United States is $118,044.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,500.00 and $130,000.00 per year, depending on experience, location, and employer.

What is a Chatbot Conversational AI?

A Chatbot Conversational AI job involves designing, developing, and optimizing AI-powered chatbots that interact with users through text or voice. Professionals in this role work with natural language processing (NLP) and machine learning to create intelligent, human-like conversations. Responsibilities may include scripting dialogue, training AI models, analyzing user interactions, and improving chatbot performance. This role often requires expertise in AI frameworks, programming languages, and user experience (UX) design.

What are the main challenges Chatbot Conversational AI professionals face on the job?

One of the main challenges in the Chatbot Conversational AI field is designing conversations that feel natural and intuitive for a wide range of users. You may need to continuously improve and update chatbot scripts based on user feedback and emerging business needs, which requires adaptability and creative problem-solving. Additionally, ensuring the chatbot integrates smoothly with other systems and data sources can be technically demanding. As part of a larger product or development team, you'll often collaborate with UX designers, software engineers, and business stakeholders to optimize chatbot performance.

What are the key skills and qualifications needed to thrive in the Chatbot Conversational AI position, and why are they important?

To thrive as a Chatbot Conversational AI professional, you need a solid background in natural language processing (NLP), dialogue design, and computer science, often supported by a relevant degree. Familiarity with AI development frameworks (such as TensorFlow or Rasa), chatbot platforms, and programming languages like Python is typically required, along with certifications in AI or machine learning being advantageous. Strong problem-solving skills, creativity, and the ability to collaborate cross-functionally are vital soft skills. These competencies ensure the creation of effective, user-friendly conversational agents that meet both technical and business requirements.

More about Chatbot Conversational Ai jobs

What cities are hiring for Chatbot Conversational Ai jobs?

Cities with the most Chatbot Conversational Ai job openings:

What are the most commonly searched types of Chatbot Conversational Ai jobs?

The most popular types of Chatbot Conversational Ai jobs are:

What states have the most Chatbot Conversational Ai jobs?

States with the most job openings for Chatbot Conversational Ai jobs include:

Infographic showing various Chatbot Conversational Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $118,044 per year, or $56.8 per hour.

IBM Watson Developer

Interon IT Solutions

Hartford, CT • On-site

Contractor

Re-posted 21 days ago


Job description

Job Title: IBM Watson Developer

Location: Hartford, CT (Onsite )

Duration: Long-term

Contract Type-#W2

Interview: 2 rounds (face-to-face)

Position Summary

In this role, you will architect, implement, and optimize rich conversational flows using IBM’s Conversational AI stack, while integrating enterprise data sources to deliver context-aware, trustworthy responses. You’ll collaborate with product, UI/UX, and backend teams to define requirements, influence features, and ensure scalable, user-centric solutions.

 

Key Responsibilities

  • Ability to design and develop AI conversations with responses coming from outside APIs via cloud function or integration with other systems.
  • Applying clean coding skills and best practices.
  • Collaborating with user interface designers and backend application integration teams to understand the mechanisms through which the conversational AI solution will be used and what is needed to fulfil intents.
  • Collaborating with teams and other developers to design, develop, test, deploy and maintain a chatbot.
  • Troubleshoot bots, debug, and deploy chatbots on various channels (voice/chat).
  • Leveraging AI, NLP Technologies and cognitive machine learning to develop chatbot applications.
  • Integrate chatbot solutions with multiple platforms.
  • Enhancing user effectiveness of the conversational agents with the help of advanced technologies.
  • Continuously develop knowledge of emerging technologies and analytics techniques and support the pursuit of business development opportunities.
  • Tuning and enhancing Speech to Text models.

Required Qualifications

  • 8+ years software delivery experience
  • 3+ years of Chatbot development experience with IBM WatsonX Orchestrate, or any other similar chatbot conversational AI tool (i.e Google Dialogflow CX, LivePerson, Amazon Lex, Kore.ai)
  • 3+ years training and improving intent recognition by curating the appropriate training data sets
  • 3+ years applying Conversational AI best practices (e.g. NLP and training data best practices)
  • 1+ years of experience in CICD, Git, unit-testing and source code management
  • 1+ years of knowledge of cloud development and deployment principles
  • 1+ years of Backend (server-side) development experience in Java, Node.js, or Python
  • 1+ years of multi-language experience in JavaScript/Typescript
  • 1+ years of working in an Agile environment, with knowledge in DevOps approaches, end-to-end software development processes and business requirements

Preferred Qualifications:

  • Prior work with IBM Watson Speech-to-Text, Watson Discovery, or similar voice processing and information retrieval technologies.
  • Familiarity with SSML (Speech Synthesis Markup Language) tagging for TTS refinement
  • Experience integrating unstructured data sources (e.g., document searching using semantic embeddings) with conversational agents

 

Education:

  • Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent experience required.