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Director 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 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 and machine learning .- Optimize chatbot performance for speed and responsiveness. - Address and rectify any issues or bugs in the chatbot's functioning. -Develop self and team ...

Write and maintain AI-native content across chatbot, voicebot, and agent assist tools, including structured responses, decision trees, and escalation logic. * Author conversational AI dialogue flows ...

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Director Chatbot Conversational Ai information

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$73K

$194.7K

$254K

How much do director chatbot conversational ai jobs pay per year?

As of Aug 21, 2026, the average yearly pay for director chatbot conversational ai in the United States is $194,709.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,500.00 and $253,000.00 per year, depending on experience, location, and employer.

What does a director chatbot conversational AI do?

A Director of Chatbot Conversational AI leads the strategy, development, and implementation of AI-powered conversational systems within an organization. They oversee teams working on chatbot design, natural language processing, and user experience to ensure that digital assistants effectively serve customers or users. Their responsibilities often include setting project goals, collaborating with stakeholders, monitoring performance, and staying current with advancements in AI technology. This role requires a mix of technical expertise, leadership skills, and business acumen.

How does a director chatbot conversational AI typically collaborate with cross-functional teams to deliver impactful AI solutions?

A Director of Chatbot Conversational AI regularly works with product managers, data scientists, engineers, UX designers, and customer support teams to ensure that AI-driven chatbots align with user needs and organizational goals. This role often leads strategy sessions, oversees project roadmaps, and facilitates communication between technical and non-technical stakeholders. By fostering a collaborative environment, the director ensures that conversational AI solutions are both technically robust and user-friendly, ultimately driving business value and enhancing customer experiences.

What are the key skills and qualifications needed to thrive as a director chatbot conversational AI, and why are they important?

To excel as a Director of Chatbot Conversational AI, you need expertise in artificial intelligence, natural language processing, and chatbot architecture, often supported by a degree in computer science or a related field. Familiarity with AI development frameworks, cloud platforms, and conversational analytics tools, as well as certifications in AI or machine learning, are highly beneficial. Strategic leadership, cross-functional collaboration, and strong communication skills enable you to guide teams and align AI initiatives with business goals. These competencies are crucial for driving innovation, ensuring effective chatbot solutions, and delivering measurable business value.
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Infographic showing various Director 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 $194,709 per year, or $93.6 per hour.

IBM Watson Developer

Interon IT Solutions

Hartford, CT • On-site

Contractor

Re-posted 23 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.