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Chatbot Jobs in Washington (NOW HIRING)

Forhyre

Tech Lead - Conversational AI

Mclean, VA

Design, develop, test, and deploy highly scalable and reliable chatbot solutions. * Ensure the quality, performance, and security of the chatbot applications. * Stay updated with the latest ...

ZIO Technologies

AI ML Software Engineer

Annapolis, MD · On-site

$113K - $136K/yr

Year 1 * Internal chatbot refinement (UI improvements, user history, feedback) * External chatbot development (conversational, user-facing) * RPA tools using local LLMs and batching * Knowledge ...

Replenish NutrAI

Backend Engineer

Washington, DC

The full product includes a peer-reviewed chatbot with traceable clinical citations, barcode scanning that validates supplements against published trial data, environmental intelligence, a personal ...

Luminis Health

ITSM Administrator

Annapolis, MD

This role will also assist and play a vital role in Automation with the Luminis Health AI chatbot while working to automate and integrate the bot with applications and systems. Essential Job Duties:

Gartner

Director, Data Science

Arlington, VA · Remote

Architect AI-powered chatbot systems including intelligent search, recommendation engines, context-aware retrieval, and Model Context Protocol (MCP) servers for seamless AI agent integration with ...

Gartner

Director, Data Science

Arlington, VA · On-site

Architect AI-powered chatbot systems including intelligent search, recommendation engines, context-aware retrieval, and Model Context Protocol (MCP) servers for seamless AI agent integration with ...

The Consortium, Inc.

Research Librarian

Washington, DC · On-site

$60K - $65K/yr

... chatbot. 9. Performs routine library collection maintenance and processing, including checking and shelving books, magazines, copy cataloging, and tracking and maintaining statistics. 10. Creates ...

Luminis Health

ITSM Administrator

Annapolis, MD · On-site

$66K - $100K/yr

This role will also assist and play a vital role in Automation with the Luminis Health AI chatbot while working to automate and integrate the bot with applications and systems. Essential Job Duties:

Replenish NutrAI

Backend Engineer

Washington, DC

Our laser MVP, a peer-reviewed chatbot with environmental intelligence and supplement scanning, is launching on World App. Our mission is to replace guesswork with evidence for the most underserved ...

Luminis Health

ITSM Administrator

Annapolis, MD · On-site

$66K - $100K/yr

This role will also assist and play a vital role in Automation with the Luminis Health AI chatbot while working to automate and integrate the bot with applications and systems. Essential Job Duties:

Consumer Reports

Software Engineer - Product

Washington, DC · On-site +1

$120K - $140K/yr

Develop, optimize, and maintain the AskCR chatbot and associated features, ensuring seamless integration across user devices and platforms. * Collaborate with product, design, and engineering teams ...

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Chatbot information

See Washington salary details

$32

$63

$86

How much do chatbot jobs pay per hour?

As of Jul 1, 2026, the average hourly pay for chatbot in Washington is $63.17, according to ZipRecruiter salary data. Most workers in this role earn between $52.84 and $71.88 per hour, depending on experience, location, and employer.

What is a Chatbot job?

A Chatbot job involves designing, developing, and maintaining AI-powered conversational agents that interact with users through text or voice. Professionals in this field work on training models, writing dialogue scripts, and improving chatbot performance using machine learning and natural language processing (NLP). They may collaborate with developers, UX designers, and data scientists to enhance user experience and ensure accurate, helpful responses.

What jobs make $3,000 a day?

High-paying jobs that can earn $3,000 a day include specialized roles such as senior software engineers, surgeons, corporate lawyers, and investment bankers. These positions typically require advanced skills, extensive experience, and often involve high-pressure environments or significant responsibilities.

How can I make money with chatbots?

Chatbots professionals can monetize their skills by developing and selling chatbot solutions to businesses, offering chatbot development services, or creating chatbot templates and tools for sale. Building expertise in platforms like Dialogflow or Botpress and understanding customer needs can enhance earning opportunities in this field.

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

To thrive as a Chatbot Developer, you need strong programming skills (often in languages like Python or JavaScript) and an understanding of natural language processing (NLP) concepts. Familiarity with chatbot frameworks (such as Dialogflow, Microsoft Bot Framework, or Rasa), API integration, and cloud platforms is highly beneficial. Excellent problem-solving skills, creativity, and the ability to clearly communicate with stakeholders are important soft skills in this role. These abilities are crucial to designing intuitive, effective chatbot solutions that enhance user experiences and meet business objectives.

What are some typical challenges faced when designing and maintaining a chatbot?

Professionals in chatbot development often encounter challenges such as accurately interpreting diverse user inputs, handling unexpected queries, and ensuring the chatbot can scale to accommodate high traffic. Maintaining a balance between automation and the need to escalate complex issues to human agents is also important. Additionally, staying updated with rapidly evolving NLP technologies and user experience best practices is essential. You'll likely collaborate with product managers, UX designers, and customer support teams to continuously improve the chatbot's effectiveness. Overcoming these challenges can be highly rewarding, leading to a more engaging and valuable tool for users.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior machine learning engineer, or AI executive, with compensation including salary, bonuses, and stock options reaching that amount annually. These roles often require advanced degrees, extensive experience, and expertise in AI tools, programming languages, and data analysis. Such positions are usually found in large tech companies or innovative startups and may involve leadership, strategic planning, and cutting-edge AI development.

Which 3 jobs will survive AI?

Chatbot roles and customer service jobs are likely to persist as they require complex communication skills and emotional intelligence that AI cannot fully replicate. Healthcare professionals, such as doctors and nurses, will continue to be essential due to the need for human judgment and empathy. Additionally, skilled trades like electricians and plumbers are less susceptible to automation because of the hands-on nature of their work.
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 Chatbot jobs in Washington? For Chatbot jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Chatbot jobs in Washington look for? The top searched job categories for Chatbot jobs in Washington are:
What cities in Washington are hiring for Chatbot jobs? Cities in Washington with the most Chatbot job openings:
Chatbot jobs near you
Chatbot Developer - Conversational AI

Chatbot Developer - Conversational AI

Noblesoft Technologies

Adelphi, MD • Remote

Contractor

Posted 19 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.