ZipRecruiter

Log In

1

Conversational Ai Designer Jobs (NOW HIRING)

Full Potential Solutions

Conversational AI Designer

S. citizen working abroad. * 3+ years designing and delivering conversational experiences in a commercial Conversational AIplatform (not just writing scripts), such as Cognigy, Amazon Lex, Kore.ai ...

TiTANS Consulting

WI · On-site

$100 - $125/hr

CONVERSATIONAL AI DESIGNER & CONTENT SPECIALIST (SRQ157226) As a Conversational AI Designer & Content Specialist, you design, build, and continuously improve the chatbot and voice bot experiences ...

OVA.Work

Conversational AI Developer

... with UX designers to improve conversation design, user engagement, and accessibility. • Deploy, monitor, and maintain conversational AI applications using cloud and MLOps practices. • ...

Saransh Inc

Conversational AI Developer

Irving, TX · On-site

Work closely with product managers, designers, and other engineers to deliver successful conversational AI solutions. * Stay updated on latest trends: Keep abreast of the latest advancements in AI ...

Checkr

AI Conversation Designer

Denver, CO · On-site

$90K - $112K/yr

... Designer to join our Service Design team ... This role is central to managing and optimizing our conversational AI agents across multiple ...

next page

Showing results 1-20

All JobsBusiness JobsCommunications JobsConversational Ai Designer Jobs

Conversational Ai Designer information

See salary details

$35.5K

$83.1K

$110K

How much do conversational ai designer jobs pay per year?

As of Sep 8, 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?

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 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.

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.

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:

What are popular job titles related to Conversational Ai Designer jobs?

For Conversational Ai Designer jobs, the most frequently searched job titles are:

Conversational Ai Designer jobs near you
Infographic showing various Conversational Ai Designer 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 $83,148 per year, or $40 per hour.

Conversational AI Designer

Full Potential Solutions

Remote

Full-time

Medical, Dental, Vision

Re-posted 25 days ago

Job description

About Us
Full Potential Solutions (FPS) is a performance-based, analytically driven omnichannel solutions organization with operations in Waltham, MA, Chennai, India, Bogota, Colombia, and Manila, Philippines that puts culture and employees first. We are a rapidly growing global company, employing the best people, processes, and proprietary technology to deliver groundbreaking solutions for our clients and fulfilling careers for our employees.
We invest in our people and put culture first because we believe that happy, fulfilled teams deliver breakthrough results. FPS offers a competitive suite of benefits for our employees, including a lucrative compensation program, medical, dental, and vision benefits, and the opportunity for high-potential career growth with a fast-growing company.
Our Core Values:
  • Integrity - Do what's right for everyone: clients, shareholders, partners & colleagues, TEAM is more important than self, and create an atmosphere of mutual respect
  • Excellence - Deliver exceptional client results, Reward and recognize performance, and Relentless pursuit of improvement
  • Accountability - Act like an owner, take pride in our work, Measure results (your own and our clients), Be passionate
  • Grace - Respect and appreciate differences, Care for one another, Humility, Make work personal

Our Mission: To create conditions within which people can thrive!
Roles and Responsibilities:
Delivery & execution
  • Design natural, user-friendly dialogue flows for chatbots, voice assistants, and AI-powered interfaces, balancing clarity, brevity, and tone.
  • Work directly with clients & product owners to translate goals and customer intents into implementation-ready conversation architectures (intents, entities/slots, prompts, confirmations, fallbacks); incorporate feedback while protecting usability, safety, and scope.
  • Create and maintain conversation design artifacts (conversation maps, flow diagrams, turn-by-turn scripts, prompt/reprompt libraries, escalation patterns).
  • Define testing coverage for designs (happy paths, edge cases, ambiguous/adversarial inputs) and support QA with structured test scenarios.
  • Use analytics and qualitative feedback (transcripts, drop-offs, containment, CSAT, recontact) to iterate and improve flows and prompts.
  • Align conversation behaviors with client brand voice and customer experience standards across channels (voice/chat).

Conversational AI platform leadership
  • Define voice-optimized behaviors (barge-in, disambiguation, speech-friendly phrasing,low-confidence handling)
  • Define chat-optimized behaviors (quick replies, progressive disclosure, rich UI patterns where applicable).
  • Develop and enforce conversation style guidelines (tone, reading level, inclusive language, empathy, compliance phrasing, "what not to say" constraints).
  • Support implementation in platforms such as Cognigy (preferred), Amazon Lex + Amazon Q ,Kore.ai,Yellow.ai, etc. Partnering with engineers & architects to optimize reusability and maintainability.

Operational excellence & Cross-functional collaboration
  • Define and enforce standards for reliability, observability, on-call readiness, and continuous improvement (SOPs, logging, dashboards, alerts, templates).
  • Participate in incident response and root-cause reviews; ensure learnings translate into durable engineering changes.
  • Work with security/compliance stakeholders for data handling, retention, and access control when integrating customer data sources.
  • Exhibit our core values: integrity, excellence, accountability and grace.

Qualifications
  • Work authorization/location: Must have work authorization within the United States or a U.S. citizen working abroad.
  • 3+ years designing and delivering conversational experiences in a commercial Conversational AIplatform (not just writing scripts), such as Cognigy, Amazon Lex,Kore.ai,Yellow.ai, Dialogflow, Rasa, or equivalent.
  • Proven experience shipping multiple production deployments (e.g., 3+ launched assistants) with ongoing iteration based on real user data.
  • Multi-channel design experience: Demonstrated ability to design for both voice and chat (or deep expertise in one plus working knowledge of the other), including modality-specific best practices (e.g., barge-in/reprompts for voice; UI affordances for chat).
  • Conversation architecture mastery: Strong command of intent/slot (entity) modeling, dialog state management, confirmation strategies, disambiguation, and robust error handling/fallback design.
  • LLM + knowledge grounding competence: Experience designing LLM-assisted or knowledge-backed conversational flows (e.g., retrieval/grounding patterns, prompt + response constraints, "I don't know" behaviors, escalation).
  • Practical understanding of APIs (REST), webhooks, authentication concepts, and how bots integrate with backend systems/CRMs.
  • Design tooling & documentation: Strong proficiency producing clear design artifacts using tools such as Miro, Voiceflow, or equivalent tools and content/version management practices for prompts/flows.
  • Delivery process: Experience working in Agile teams (sprint planning, grooming, story writing/acceptance criteria, iteration with QA and engineering).
  • Analytics & optimization: Ability to use conversation analytics to drive improvements (containment, drop-off, turn count, misunderstanding rate, deflection, CSAT), and to propose experiments and measurable success criteria.
  • Contact center / CX domain: Experience designing for customer service use cases (handoff to agents, intent triage, authentication, policy/compliance language, sensitive topics).
  • UX/UI collaboration: Strong fundamentals in UX writing and collaboration with UX/UI teams; familiarity with chat UI patterns, accessibility considerations, and multi-lingual/localization workflows.

Department Information Technology Locations USA Remote status Fully Remote

Apply