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Virtual Chatbot Jobs in Washington (NOW HIRING)

Marriott

FLEX Director, Solution Architect

Bethesda, MD · Remote

$67.25 - $88.50/hr

Experience and working knowledge of virtual agent chatbot solutions including (but not limited to) Microsoft Copilot, Moveworks, Amazon Lex, ServiceNow Virtual Agent * Experience with planning ...

Booz Allen Hamilton

AI Engineer

Washington, DC · On-site

$99K - $225K/yr

Experience with end-to-end chatbot or agent to agent (A2A) development * Experience with enterprise ... virtual) is prohibited unless permission is explicitly provided . Work Model Our people-first ...

Booz Allen Hamilton

AI Engineer

Washington, DC · On-site

$99K - $225K/yr

Experience with end-to-end chatbot or agent to agent (A2A) development * Experience with enterprise ... virtual) is prohibited unless permission is explicitly provided . Work Model Our people-first ...

Booz Allen Hamilton, Inc.

AI Engineer

Washington, DC · On-site +1

$99K - $225K/yr

Experience with end-to-end chatbot or agent to agent (A2A) development * Experience with enterprise ... virtual) is prohibited unless permission is explicitly provided . Work Model Our people-first ...

All JobsChatbot JobsVirtual Chatbot JobsVirtual Chatbot Jobs in Washington

Virtual Chatbot information

What are the key skills and qualifications needed to thrive as a Virtual Chatbot, and why are they important?

To thrive as a Virtual Chatbot, you require expertise in natural language processing (NLP), conversational AI frameworks, and programming languages like Python or JavaScript. Familiarity with chatbot development platforms (such as Dialogflow, Microsoft Bot Framework, or IBM Watson), and experience with machine learning models are typically necessary. Strong problem-solving skills, creative thinking, and effective communication help design engaging, user-friendly interactions. These skills ensure the chatbot can accurately understand user intent, provide helpful responses, and continually improve user satisfaction.

What are Virtual Chatbots?

Virtual chatbots are computer programs designed to simulate human conversation through text or voice interactions. They are commonly used on websites, messaging apps, and customer service platforms to assist users, answer questions, or guide them through various processes. Chatbots use artificial intelligence and natural language processing to understand user queries and provide relevant responses. They help businesses improve customer support efficiency by automating common tasks and providing instant assistance around the clock.

What is the difference between Virtual Chatbot vs Customer Service Representative?

AspectVirtual ChatbotCustomer Service Representative
Required SkillsBasic programming, AI understanding, communication skillsCommunication, problem-solving, interpersonal skills
Work EnvironmentOnline, remote, AI-driven platformsCall centers, retail stores, offices
Employer & Industry UsageTech companies, e-commerce, customer supportRetail, telecom, banking, hospitality

Virtual Chatbots are AI-powered tools designed to handle customer inquiries automatically, often working online and requiring technical skills. Customer Service Representatives are human employees who provide personalized support in various settings. While both roles aim to assist customers, chatbots automate routine tasks, whereas representatives offer personalized, complex assistance.

What are some common challenges faced by professionals working as Virtual Chatbot developers or trainers?

One common challenge in the role of a Virtual Chatbot developer or trainer is ensuring the chatbot delivers accurate and contextually appropriate responses to diverse user queries. Professionals often need to continuously monitor conversations, identify areas where the chatbot may misunderstand intent, and update training data accordingly. Additionally, collaborating with cross-functional teams such as UX designers, content writers, and product managers is key to refining the chatbot’s performance and user experience. Staying updated with evolving natural language processing (NLP) technologies and user expectations is also essential for long-term success.
What are the most commonly searched types of Chatbot jobs in Washington? The most popular types of Chatbot jobs in Washington are:
What are popular job titles related to Virtual Chatbot jobs in Washington? For Virtual Chatbot jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Virtual Chatbot jobs in Washington look for? The top searched job categories for Virtual Chatbot jobs in Washington are:
What cities in Washington are hiring for Virtual Chatbot jobs? Cities in Washington with the most Virtual Chatbot job openings:
Virtual Chatbot jobs near you
Chatbot Developer - Conversational AI

Chatbot Developer - Conversational AI

Noblesoft Technologies

Adelphi, MD • Remote

Contractor

Posted 15 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.