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Conversational Ai Designer Jobs (NOW HIRING)

Diverse Lynx

Conversational AI with CCaaS

Phoenix, AZ · On-site

The role involves designing scalable CCaaS and IVA solutions, architecting cloud infrastructure ... conversational AI / customer service solutions including conversational IVR design, NLU/NLP ...

Photon

Conversational Designer | Dallas

Dallas, TX · On-site

As a Conversational Designer, you will be responsible for creating engaging and natural language interactions for chatbots, virtual assistants, and other conversational AI systems. You will ...

Photon

Conversational Designer | Dallas

Dallas, TX

As a Conversational Designer, you will be responsible for creating engaging and natural language interactions for chatbots, virtual assistants, and other conversational AI systems. You will ...

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Conversational Ai Designer information

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$35.5K

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$110K

How much do conversational ai designer jobs pay per year?

As of Jun 28, 2026, the average yearly pay for conversational ai designer in the United States is $83,148.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,000.00 and $109,000.00 per year, depending on experience, location, and employer.

What is a Conversational AI Designer?

A Conversational AI Designer is a professional who creates and optimizes the user experience for AI-powered chatbots, virtual assistants, and voice interfaces. They design the flow of conversations, write dialogue, and ensure that users can interact naturally and effectively with AI systems. Their work involves understanding user needs, applying best practices in conversational UX, and collaborating with developers and stakeholders to deliver intuitive, human-like interactions. Conversational AI Designers often use specialized tools and frameworks to build and test these interactions across various platforms.

What are the key skills and qualifications needed to thrive as a Conversational AI Designer, and why are they important?

To thrive as a Conversational AI Designer, you need a solid grasp of linguistics, UX/UI principles, and conversational flow design, often supported by experience in computational linguistics or human-computer interaction. Familiarity with chatbot development platforms (like Dialogflow or Microsoft Bot Framework), prototyping tools, and understanding of natural language processing (NLP) systems is typically required. Strong creativity, empathy, and communication skills help designers create user-centric, engaging, and intuitive conversational experiences. These skills are crucial for building effective AI interactions that enhance user satisfaction and achieve business goals.

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

AspectConversational Ai DesignerChatbot Developer
Required SkillsUX design, natural language processing, AI toolsProgramming, scripting, API integration
Work EnvironmentDesign-focused, collaborative with AI teamsDevelopment-focused, coding and testing
Industry UsageAI companies, tech firms, customer experienceSoftware firms, startups, enterprise solutions
CertificationsAI, UX design, NLP certificationsProgramming languages, AI development courses

While both roles involve working with conversational systems, the Conversational Ai Designer primarily focuses on designing user interactions and experience using AI tools, whereas the Chatbot Developer concentrates on coding and implementing chatbot functionalities. The designer emphasizes UX and NLP, while the developer emphasizes programming and technical integration.

What are some common challenges Conversational AI Designers face when designing chatbot interactions for diverse user groups?

Conversational AI Designers often encounter challenges in creating chatbot interactions that are both intuitive and accessible for a wide range of users. Factors such as varying communication styles, language nuances, and differing levels of tech-savviness can impact user experience. Designers must also ensure that conversations are inclusive and handle edge cases gracefully, balancing business goals with user needs. Regular user testing and iterating on feedback are key strategies to overcome these challenges and improve conversation flow.
More about Conversational Ai Designer jobs
What cities are hiring for Conversational Ai Designer jobs? Cities with the most Conversational Ai Designer job openings:
What states have the most Conversational Ai Designer jobs? States with the most job openings for Conversational Ai Designer jobs include:
Conversational Ai Designer jobs near you
Infographic showing various Conversational Ai Designer job openings in the United States as of June 2026, with employment types broken down into 78% Full Time, and 22% Part Time. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $83,148 per year, or $40 per hour.
Chatbot Developer - Conversational AI

Chatbot Developer - Conversational AI

Noblesoft Technologies

Adelphi, MD • Remote

Contractor

Posted 17 days ago

Job description

Role: Chatbot Developer - Conversational AI

Location: Remote (US) EST hours

Duration: 3 months

  

Role Overview
We are seeking a talented and passionate Conversational AI Developer to play a pivotal role in managing current day chatbot implantations and designing, building, and optimizing our next-generation conversational experiences. In this role, you will bridge the gap between classical NLU systems and modern Generative AI orchestrations. You will be responsible for maintaining our robust enterprise foundations while actively driving our migration strategy toward autonomous agent frameworks.
 
The ideal candidate possesses a deep technical background in the Microsoft conversational ecosystem, a strong understanding of enterprise integration layers, and a passion for delivering seamless, human-like, yet transparent user experiences.
 
Key Responsibilities
  • End-to-End Development: Drive the full lifecycle development (from conversational design to production deployment) of scalable chatbots, virtual assistants, and AI agents.
  • Architecture Migration: Maintain and optimize our current Azure Bot Framework SDK v4 stack while actively participating in the architectural migration toward Microsoft Foundry and Agents 365 Azure SDK.
  • Enterprise Integration: Design and implement robust API integrations using MuleSoft as the central enterprise service bus to orchestrate data exchange between conversational front ends and core backend systems, including PeopleSoft and Salesforce.
  • Omnichannel Dialog Management: Author and manage rich, dynamic conversational interfaces using Microsoft Dynamics Adaptive Cards, Knowledge Management systems, and Automation Flows across web, mobile, and messaging channels.
  • Live Chat and Case Management: Build seamless escalation protocols, including live agent handoffs to Salesforce Live Chat and automated ticket routing via Salesforce Case Management APIs.
  • NLU and LLM Orchestration: Integrate Hybrid AI strategies by combining classical NLU (Azure Conversational Language Understanding/CLU) with Large Language Models (Azure OpenAI/GPT) for intelligent intent routing, fallback handling, and contextual content generation.
  • Performance Optimization: Analyze conversation logs, containment rates, and intent accuracy metrics using data visualization tools to continuously optimize conversational flows and minimize hallucinations.
  • Cross-Functional Collaboration: Partner closely with Product Managers, UX Designers, and business stakeholders to translate complex business logic into intuitive user stories and turn technical constraints into delightful user experiences.
 
Technical & Professional Qualifications
Required Experience
  • 3+ years of dedicated experience in software development with a specialized focus on Conversational AI, NLP/NLU, or LLM agent development.
  • Microsoft Bot Stack Expertise: Deep, hands-on proficiency with Azure Bot Framework SDK v4 (including Waterfall Dialogs, custom middleware, and state management) alongside experience or strong theoretical knowledge of Copilot Studio / Agents 365.
  • Core Backend Skills: Strong programming fundamentals with advanced proficiency in C#, .NET, and JavaScript, combined with frontend capabilities (HTML/CSS) for custom web-chat styling and Adaptive Card rendering.
  • Enterprise Systems Integration: Direct experience working with MuleSoft layers to pull/push data from legacy enterprise platforms like PeopleSoft and CRM systems like Salesforce.
 
Preferred Qualifications
  • Data and State Management: Experience configuring and querying Azure Cosmos DB for storing conversation state, user context, and telemetry logs.
  • Analytics Driven: Familiarity utilizing Power BI or Azure Application Insights to analyze drop-off points, intent confusion matrices, and chatbot containment metrics.
  • Modern DevOps: Experience defining and maintaining CI/CD pipelines for conversational assets across Dev, Test, and Production environments.
  • Industry Context: Experience implementing conversational solutions within Higher Education or complex, multi-stakeholder enterprise environments is a plus.
  • Soft Skills: Exceptional communication skills with the ability to articulate technical AI constraints to non-technical business stakeholders.
 
Benefits & Culture
  • Cutting-Edge Innovation: Be part of a forward-thinking team actively reshaping the digital student and staff experience through advanced AI and Agentic workflows.
  • Impact-Driven Work: Build tools that directly solve user pain points, handling high-volume transactions with immediate real-world impact.
  • Professional Growth: Work in a fast-paced environment that actively supports upskilling in Generative AI, LLM orchestration, and next-generation Microsoft AI technologies.