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Ai Chatbot Developer Jobs in Washington (NOW HIRING)

Gartner

Director, Data Science

Arlington, VA · Remote

Large Language Models/Generative AI, conversational AI/chatbot development, NLP/text mining, search & recommendation systems, prompt engineering/LLM optimization, AI agent architectures.

ZIO Technologies

AI ML Software Engineer

Annapolis, MD · On-site

$113K - $136K/yr

... Coud, DevOps, Data Solutions, and AI/ML. This role is a client-facing assignment supported and ... External chatbot development (conversational, user-facing) * RPA tools using local LLMs and ...

Forhyre

Tech Lead - Conversational AI

Mclean, VA

Design, develop, test, and deploy highly scalable and reliable chatbot solutions. * Ensure the ... Bachelor's degree in Computer Science, Engineering, or a related field. * Proven experience as a ...

RIVA Solutions Inc.

Lead Web Developer

Reston, VA · On-site +1

Technical Lead / Lead Web Developer Location: Hybrid or Remote Terms: Full Time Clearance: U.S ... Experience with search technologies, AI/chatbot integration, Google Analytics/DAP, Tableau ...

RIVA Solutions Inc.

Lead Web Developer

Reston, VA · On-site +1

$125K/yr

Technical Lead / Lead Web Developer Location: Hybrid or Remote Terms: Full Time Clearance: U.S ... Experience with search technologies, AI/chatbot integration, Google Analytics/DAP, Tableau ...

RIVA Solutions Inc.

Lead Web Developer

Reston, VA · On-site

$125K/yr

Technical Lead / Lead Web Developer Location: Hybrid or Remote Terms: Full Time Clearance: U.S ... Experience with search technologies, AI/chatbot integration, Google Analytics/DAP, Tableau ...

RIVA Solutions Inc.

Lead Web Developer

Reston, VA · On-site +1

$125K/yr

Technical Lead / Lead Web Developer Location: Hybrid or Remote Terms: Full Time Clearance: U.S ... Experience with search technologies, AI/chatbot integration, Google Analytics/DAP, Tableau ...

Hexaware Technologies, Inc

AI Engineer

Reston, VA · On-site

Contribute to DevOps practices including Docker, CI/CD pipelines, Git-based workflows, SonarQube ... chatbot integration, and prompt-based analytics. Collaborate with model developers, technology ...

Hexaware Technologies, Inc

AI Engineer

Reston, VA · On-site

Contribute to DevOps practices including Docker, CI/CD pipelines, Git-based workflows, SonarQube ... chatbot integration, and prompt-based analytics. Collaborate with model developers, technology ...

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All JobsAi Chatbot Developer JobsAi Chatbot Developer Jobs in Washington

Ai Chatbot Developer information

See Washington salary details

$84.4K

$106.2K

$143.3K

How much do ai chatbot developer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for ai chatbot developer in Washington is $106,180.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,600.00 and $107,600.00 per year, depending on experience, location, and employer.

What are some common challenges AI Chatbot Developers face when integrating chatbots with existing business systems?

One of the main challenges Ai Chatbot Developers encounter is ensuring seamless integration of chatbots with existing business platforms such as CRM, databases, or helpdesk software. This often requires deep understanding of APIs, data privacy regulations, and company-specific workflows. Developers must also ensure that the chatbot can accurately process and respond to user queries while securely accessing and updating relevant information. Collaboration with IT and business operations teams is key to addressing compatibility and security concerns during integration.

What are the key skills and qualifications needed to thrive as an AI Chatbot Developer?

To thrive as an AI Chatbot Developer, you need strong programming skills (especially in Python or JavaScript), understanding of natural language processing (NLP), and a background in computer science or a related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), chatbot platforms (such as Dialogflow or Microsoft Bot Framework), and relevant APIs or cloud services is essential. Creative problem-solving, effective communication, and adaptability are important soft skills for designing engaging user experiences and addressing evolving requirements. These skills ensure robust, intelligent chatbot solutions that deliver value through seamless user interactions and continuous improvement.

What does an AI Chatbot Developer do?

An AI Chatbot Developer designs, builds, and maintains intelligent conversational agents that can communicate with users through text or voice. They use artificial intelligence, natural language processing, and machine learning techniques to create chatbots capable of understanding and responding to user queries. Their responsibilities often include writing code, training chatbot models, integrating chatbots with various platforms, and improving bot performance based on user interactions.

How much do Ai Chatbot Developers make?

Ai Chatbot Developers typically earn a median annual salary ranging from $70,000 to $120,000, depending on experience, location, and skill level. Salaries can be higher for those with expertise in machine learning, natural language processing, and relevant programming languages like Python or Java. Entry-level positions may start lower, while senior developers or specialists can earn significantly more.

What is the difference between Ai Chatbot Developer vs AI Software Engineer?

AspectAi Chatbot DeveloperAI Software Engineer
CredentialsRelevant programming certifications, AI, NLP knowledgeComputer science degrees, AI certifications
Work EnvironmentDeveloping conversational interfaces, scripting, UI designBuilding AI models, algorithms, software systems
Industry UsageCustomer service, virtual assistants, chat platformsBroader AI applications across industries
Search/Comparison IntentFocus on chatbot-specific skills and toolsBroader AI development skills and projects

While both roles involve AI and programming, Ai Chatbot Developers specialize in creating conversational agents and chat interfaces, often focusing on NLP and UI design. AI Software Engineers work on developing a wide range of AI models and systems across various applications. The roles overlap in technical skills but differ in their primary focus and industry applications.

How to become an AI chatbot developer?

To become an AI chatbot developer, you should gain skills in programming languages such as Python or JavaScript, understand natural language processing (NLP) frameworks like TensorFlow or PyTorch, and learn how to design conversational interfaces. Building experience through projects, online courses, or certifications in AI and machine learning can also help establish expertise in developing effective chatbots.

Is Ai Chatbot Developer a good career?

Ai Chatbot Developer is a growing field that involves designing and implementing conversational AI systems using programming languages and machine learning techniques. It offers opportunities in technology companies, requires skills in natural language processing, and often involves continuous learning to keep up with evolving tools and frameworks. Overall, it can be a rewarding career for those interested in AI and software development.
What cities in Washington are hiring for Ai Chatbot Developer jobs? Cities in Washington with the most Ai Chatbot Developer job openings:
Ai Chatbot Developer jobs near you
Infographic showing various Ai Chatbot Developer job openings in Washington as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $106,180 per year, or $51 per hour.

Chatbot Developer - Conversational AI

Noblesoft Technologies

Adelphi, MD • Remote

Contractor

Re-posted 27 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.