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Chatbot Designer Jobs in Texas (NOW HIRING)

Gen AI Lead - TX

Irving, TX

$15.50 - $18.75/hr

Proven track record of success in designing, developing, and implementing innovative AI solutions ... Experience in the chatbot, IVR, or banking domain. * Proven ability to build and manage high ...

The ideal candidate will bring expertise in designing, developing, and implementing AI solutions ... Experience with chatbot development, automation frameworks, and AI-based decision systems. * Solid ...

New

... and chatbot development, alongside traditional silicon design areas such as static/dynamic IR ... Designing and implementing their interaction with our extensive compute infrastructure. Generating ...

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Chatbot Designer information

See Texas salary details

$10

$38

$70

How much do chatbot designer jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for chatbot designer in Texas is $38.42, according to ZipRecruiter salary data. Most workers in this role earn between $22.83 and $51.16 per hour, depending on experience, location, and employer.

What is a chatbot designer?

A Chatbot Designer is responsible for creating conversational experiences for chatbots and virtual assistants. They design chatbot flows, write engaging dialogue, and ensure a seamless user experience. Their role involves understanding user needs, integrating AI and natural language processing, and optimizing chatbot interactions for efficiency and accuracy.

What are the key skills and qualifications needed to thrive in the chatbot designer position, and why are they important?

To thrive as a Chatbot Designer, you need strong skills in conversational UX design, natural language processing concepts, and proficiency with relevant design tools, often supported by a degree in computer science, design, or a related field. Familiarity with platforms such as Dialogflow, Microsoft Bot Framework, or Rasa, as well as an understanding of programming languages like Python or JavaScript, is commonly expected. Creative problem-solving, user empathy, and effective collaboration are key soft skills for excelling in this position. These skills enable Chatbot Designers to create engaging, effective chatbot experiences that meet user needs and business objectives.

What are the typical daily responsibilities of a chatbot designer?

As a Chatbot Designer, your daily work often involves designing conversational flows, writing dialogue scripts, and optimizing user interactions based on feedback and analytics. You will collaborate closely with developers, product managers, and UX researchers to ensure the chatbot meets user needs and aligns with business goals. Reviewing user data to refine intents and improve responses is a common part of the role, as is keeping documentation up to date. This position requires a balance of creative writing, technical understanding, and teamwork to deliver seamless, engaging chatbot experiences.

What are the most commonly searched types of Chatbot Designer jobs in Texas? The most popular types of Chatbot Designer jobs in Texas are:
Infographic showing various Chatbot Designer job openings in Texas as of August 2026, with employment types broken down into 60% Full Time, 10% Temporary, and 30% Contract. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $79,920 per year, or $38.4 per hour.

$15.50 - $18.75/hr

Full-time

Re-posted 22 days ago


Job description

We are seeking an experienced Gen AI Lead to build and guide our Gen AI team. You will be responsible for setting the strategic direction for Gen AI initiatives, leading the development and deployment of innovative solutions, and fostering a culture of collaboration and excellence within the team.

Responsibilities:

  • Define the strategic vision and roadmap for Gen AI within the organization, aligning with overall business goals.
  • Lead a team of Gen AI developers and specialists, providing mentorship, guidance, and fostering their technical growth.
  • Design and architect complex Gen AI solutions leveraging Large Language Models (LLMs), Transformer/Neural Network models, and Vector/Graph Databases (Pinecone, Milvus, Neo4j).
  • Oversee the integration of speech-to-text tools (Whisper/Google TTS) and ensure user-friendly interfaces for chatbots and IVR systems.
  • Champion the use of advanced techniques like HyDE, MMR, and LLM reranking to create exceptional semantic search experiences.
  • Collaborate with cross-functional teams (product, engineering, design) to define project requirements, identify new use cases, and ensure successful integration of Gen AI solutions.
  • Stay at the forefront of Gen AI research, actively exploring new tools, frameworks (Langchain, Haystack, Agentic Workflows), and techniques to maintain a competitive edge.
  • Develop and maintain a strong understanding of industry trends and best practices in Gen AI.
  • Communicate effectively with stakeholders at all levels, clearly articulating the value proposition of Gen AI solutions and the team's progress.
  • Foster a culture of innovation, collaboration, and continuous learning within the Gen AI team.

Qualifications:

  • Extensive experience leading and managing Gen AI projects from conception to deployment.
  • Proven track record of success in designing, developing, and implementing innovative AI solutions with real-world impact.
  • Deep understanding of LLMs (OpenAI API, Open Source LLMs) , Transformer/Neural Network architectures, Vector/Graph Databases, and their application in Gen AI.
  • Experience integrating speech-to-text tools and building user interfaces for chatbots and IVR systems.
  • Strong leadership skills with the ability to motivate, inspire, and guide a team of talented Gen AI developers.
  • Excellent communication and collaboration skills to effectively interact with stakeholders across various departments.
  • A strategic mindset with a strong focus on business outcomes and ROI.
  • Passion for innovation and a relentless drive to push the boundaries of what's possible with Gen AI.

Bonus Points:

  • Experience in the chatbot, IVR, or banking domain.
  • Proven ability to build and manage high-performing AI teams.
  • Experience presenting complex technical concepts to non-technical audiences.