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Conversation Design Jobs in Washington (NOW HIRING)

Program Manager, Cato Courses

Washington, DC · On-site

$60K - $85K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... conversation design, quiz development, and final quality control before publication. * Course Audits and Continuous Improvement. Audit existing courses on a regular cadence for factual accuracy ...

Program Manager, Cato Courses

Washington, DC · On-site

$60K - $85K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... conversation design, quiz development, and final quality control before publication. * Course Audits and Continuous Improvement. Audit existing courses on a regular cadence for factual accuracy ...

Program Manager, Cato Courses

Washington, DC · Hybrid

$60K - $85K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... conversation design, quiz development, and final quality control before publication. * Course Audits and Continuous Improvement. Audit existing courses on a regular cadence for factual accuracy ...

As a Tech Lead - Conversational AI, you will play a crucial role in developing and implementing ... Design, develop, test, and deploy highly scalable and reliable chatbot solutions. * Ensure the ...

Prompt Engineer

Mclean, VA · On-site

$115K - $140K/yr

Experience with UX design principles, information architecture, or conversational design is highly valuable. * Understanding of responsible AI concepts, including safety, privacy, bias, and ...

Experience with UX design principles, information architecture, or conversational design is highly valuable. * Understanding of responsible AI concepts, including safety, privacy, bias, and ...

Experience with UX design principles, information architecture, or conversational design is highly valuable. * Understanding of responsible AI concepts, including safety, privacy, bias, and ...

Databricks Architect

Washington, DC · On-site

$73 - $96/hr

... conversational analytics. • Design and deploy Generative AI and RAG-based solutions using Databricks Mosaic AI and Vector Search. • Collaborate with business users to translate requirements into ...

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Showing results 1-20

Conversation Design information

See Washington salary details

$23

$65

$98

How much do conversation design jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for conversation design in Washington is $65.38, according to ZipRecruiter salary data. Most workers in this role earn between $47.64 and $83.03 per hour, depending on experience, location, and employer.

What does a conversation design do?

A conversation designer creates the dialogue and interaction flow for chatbots, voice assistants, and other conversational interfaces. They analyze user needs, craft clear and natural language responses, and often use tools like flowcharts or scripting platforms to ensure effective communication. This role requires strong communication skills and understanding of user experience principles.

How to become a conversation designer?

To become a conversation designer, develop skills in user experience, linguistics, and scripting, often through courses or self-study in areas like UX design, natural language processing, or human-computer interaction. Gaining experience with chatbot platforms, voice assistants, and tools like Figma or Adobe XD can be beneficial, along with building a portfolio of conversational flows. A background in communication, psychology, or related fields can also support entry into this role.

What are common daily responsibilities for a conversation designer?

As a Conversation Designer, your daily responsibilities often include crafting dialogue flows, writing sample conversations, and collaborating closely with product managers, developers, and UX researchers to refine conversational interfaces. You'll regularly test and iterate on chatbot or voice assistant scripts, analyze user feedback and data, and ensure that conversations are natural, inclusive, and aligned with brand voice. You'll also participate in team meetings to discuss project requirements and deliverables, and may conduct user research or usability testing. This collaboration and cycle of iteration are key to delivering engaging and effective conversational experiences.

What are the key skills and qualifications needed to thrive in conversation design, and why are they important?

To thrive as a Conversation Designer, you need a strong understanding of linguistics, UX/UI principles, and user-centered design, often supported by a background in human-computer interaction, communication, or related fields. Familiarity with conversation design platforms (such as Dialogflow, Amazon Lex, or Microsoft Bot Framework), prototyping tools, and AI technologies is highly valuable. Excellent communication, empathy, creativity, and problem-solving skills help create natural, engaging conversational experiences. These competencies are crucial because they ensure the development of effective, user-friendly interfaces that align with business goals and user expectations.

What is a conversation design?

A Conversation Design job involves creating natural and effective interactions between humans and AI-powered chatbots or voice assistants. Conversation Designers structure dialogues, write bot responses, and ensure the experience feels intuitive and human-like. They consider user psychology, linguistic principles, and technical constraints to optimize conversations. The role often requires collaboration with UX designers, developers, and AI trainers to refine bot interactions.

What are the most commonly searched types of Conversation Design jobs in Washington?

The most popular types of Conversation Design jobs in Washington are:

What are popular job titles related to Conversation Design jobs in Washington?

For Conversation Design jobs in Washington, the most frequently searched job titles are:

Infographic showing various Conversation Design job openings in Washington as of August 2026, with employment types broken down into 1% Internship, 85% Full Time, 10% Part Time, and 4% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $135,982 per year, or $65.4 per hour.

Chatbot Developer - Conversational AI

Noblesoft Technologies

Adelphi, MD • Remote

Contractor

Re-posted 2 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.