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Conversational Ai Engineer Jobs in Washington (NOW HIRING)

Forhyre

Product Manager - Conversational AI

Mclean, VA · On-site

As a Product Manager - Conversational AI at ChatBotz.ai, you will play a pivotal role in driving ... Work closely with the engineering team to define technical requirements and ensure successful ...

Forhyre

Tech Lead - Conversational AI

Mclean, VA · On-site

Bachelor's degree in Computer Science, Engineering, or a related field. * Proven experience as a Tech Lead or similar role in developing conversational AI solutions. * Strong programming skills in ...

Phase2 Technology

Applied AI Engineer

Fort Belvoir, VA · On-site

$77.60 - $176/hr

The Opportunity As an experienced engineer, you know that artificial intelligence is critical to ... Experience with human‑in‑the‑loop evaluation, AI red teaming, or assessing conversational ...

KPMG US

Senior Associate, AI Engineer

Washington, DC · On-site

$62.25 - $80.50/hr

... test AI models, conversational agents, and workflow automation components under the guidance of ... engineering, or cloud technologies • Bachelor's degree from an accredited college or university ...

Booz Allen Hamilton, Inc.

Applied AI Engineer

Reston, VA · On-site

$99K - $225K/yr

As an experienced engineer, you know that artificial intelligence (AI) is critical to understanding ... Knowledge of user experience (UX) best practices, including conversational AI and generative ...

Booz Allen Hamilton

Applied AI Engineer

Fort Belvoir, VA · On-site

$99K - $225K/yr

As an experience d engineer, you know that artifi cia l intelligence (AI) is critical to ... Knowledge of user experience ( UX ) best practices, including conversational AI and generative ...

Smart Synergies

Agentic AI Engineer

Reston, VA · On-site

$127K - $168K/yr

Build LLM-powered applications for text generation, summarization, Q&A, conversational AI ... Strong software engineering background with experience designing and deploying production-grade ...

New

Node.Digital

Senior AI/ML Engineer

Herndon, VA · On-site

$107K - $147K/yr

Senior AI/ML Engineer Location: Herndon, VA (Hybrid Work) Preferred: US Citizenship Node.Digital is ... conversational AI Experience with AWS Bedrock Agents and Guardrails Familiarity with model ...

Node.Digital LLC

Senior AI/ML Engineer

Herndon, VA · On-site

$140 - $190/hr

Senior AI/ML Engineer Location: Herndon, VA (Hybrid Work) Preferred: US Citizenship Node.Digital is ... Knowledge of chatbot development and conversational AI * Experience with AWS Bedrock Agents and ...

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All JobsConversational Ai Engineer JobsConversational Ai Engineer Jobs in Washington

Conversational Ai Engineer information

See Washington salary details

$32.2K

$132.9K

$238.9K

How much do conversational ai engineer jobs pay per year?

As of Aug 27, 2026, the average yearly pay for conversational ai engineer in Washington is $132,900.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,387.00 and $164,270.00 per year, depending on experience, location, and employer.

What is a conversational AI engineer?

A Conversational AI Engineer is a technology professional who designs, develops, and maintains systems that enable computers to interact with humans using natural language. They work on building chatbots, virtual assistants, and voice-enabled applications by leveraging natural language processing (NLP), machine learning, and AI frameworks. Their responsibilities include training language models, optimizing conversation flows, integrating with APIs, and ensuring the overall performance and accuracy of conversational systems. These engineers collaborate with data scientists, UX designers, and software developers to create seamless and intuitive AI-driven user experiences.

What are the key skills and qualifications needed to thrive as a conversational AI engineer?

To thrive as a Conversational AI Engineer, you need strong programming skills (such as Python), a background in natural language processing (NLP), and a degree in computer science or a related field. Familiarity with machine learning frameworks, chatbot platforms, and cloud services like AWS or Google Cloud is typically required, along with experience in tools such as TensorFlow or Rasa. Excellent problem-solving abilities, creativity, and clear communication help engineers design effective, user-friendly conversational systems. These skills ensure the development of robust, scalable, and intuitive AI solutions that meet user needs and business goals.

What are some common challenges conversational AI engineers face when deploying chatbots in production environments?

Conversational AI Engineers often encounter challenges such as ensuring chatbot robustness in handling diverse user inputs and maintaining natural, contextually relevant conversations. Managing scalability and latency is also crucial, as chatbots must perform efficiently under varying loads. Additionally, integrating with legacy systems and safeguarding user data privacy require careful coordination with DevOps and security teams. Continuous model monitoring and updating are essential to keep responses accurate and aligned with user expectations.

What is the difference between Conversational Ai Engineer vs Chatbot Developer?

AspectConversational Ai EngineerChatbot Developer
Required CredentialsBachelor's in CS, AI, or related field; experience with NLP and machine learningTypically programming skills; may have similar technical background
Work EnvironmentCollaborates on AI models, NLP, and user experience designFocuses on building and deploying chatbot interfaces
Employer & Industry UsageTech companies, AI startups, large enterprises integrating conversational AICustomer service, marketing, and sales sectors
Search & Comparison IntentUnderstanding roles in AI development, advanced conversational systemsBuilding specific chatbot applications

While both roles involve creating conversational interfaces, a Conversational Ai Engineer focuses on developing advanced AI models and NLP systems, whereas a Chatbot Developer primarily builds and deploys chatbot applications. The engineer's role is broader, often involving AI research and integration, while the developer concentrates on implementation and user interaction design.

What are popular job titles related to Conversational Ai Engineer jobs in Washington?

For Conversational Ai Engineer jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Conversational Ai Engineer jobs in Washington look for?

The top searched job categories for Conversational Ai Engineer jobs in Washington are:

What cities in Washington are hiring for Conversational Ai Engineer jobs?

Cities in Washington with the most Conversational Ai Engineer job openings:

Conversational Ai Engineer jobs near you
Infographic showing various Conversational Ai Engineer job openings in Washington as of August 2026, with employment types broken down into 6% Internship, 57% Full Time, and 37% Contract. Highlights an 76% In-person, and 24% Remote job distribution, with an average salary of $132,900 per year, or $63.9 per hour.

Conversational AI Developer

Adelphi, MD • Remote

Noblesoft Technologies
Software Development • 51 - 200 employees
Learn more about Noblesoft Technologiesexternal

Contractor

Re-posted 8 days ago

Job description

Role: Conversational AI Developer

Location: Adelphi, Maryland – Hybrid/Remote

Duration: 12+ months

Local candidates preferred

Need LinkedIn profile

Must Have: Chatbot developers Microsoft Foundary

Job Summary

We are seeking a talented and passionate Conversational AI Developer to join our team and play a key role in creating innovative and engaging chatbots and virtual assistants.  The ideal candidate will have a strong background in software development, with a focus on AI and natural language processing technologies.

Responsibilities:

  • Drive the full lifecycle development — from design to deployment — of scalable chatbots and virtual assistants utilizing Microsoft Bot Framework, Kore.ai, or similar CAI technologies
  • Collaborate with cross-functional teams (product managers, designers, UX/UI specialists) to gather requirements, design conversational flows, and implement user stories
  • Integrate Natural Language Processing (NLP) and Natural Language Understanding (NLU) techniques to enable chatbots to understand user intent and respond accordingly
  • Leverage Generative AI services to enhance chatbot responses with creativity and personalization
  • Develop chatbots for deployment across multiple channels (web, mobile apps, messaging platforms) ensuring a seamless user experience
  • Conduct thorough testing and debugging to ensure high performance and accuracy of conversational AI solutions
  • Monitor and analyze user interactions and chatbot performance to identify areas for improvement and optimization
  • Stay updated on the latest advancements in Conversational AI technologies and best practices

Preferred Qualifications:

  • 3+ years of experience in software development, preferably with a focus on conversational AI or chatbots
  • Deep expertise in Azure Bot Framework v4, specifically utilizing Adaptive Dialogs, Waterfall Dialogs, and middleware customization
  • Strong backend development skills with advanced proficiency in C#, .NET, JavaScript, CSS, HTML for custom bot logic
  • Hands-on experience with Azure Integration Services, using Azure Functions and Logic Apps to orchestrate workflows between the bot and external systems
  • Proven experience with Salesforce API integrations (REST/SOAP), specifically for managing Live Agent handoffs, Knowledge base retrieval, and Case creation
  • Experience configuring Azure Cosmos DB for storing conversation state, user data, and telemetry logs
  • Experience implementing Hybrid AI strategies, bridging classical NLU services (Azure CLU) with Generative AI models (Azure OpenAI/GPT) for fall-back handling or content generation
  • Middleware familiarity, with exposure to MuleSoft or similar ESB platforms for enterprise-grade data exchange
  • Data-driven optimization skills, utilizing Power BI to analyze conversation logs, identify drop-off points, and drive NLU accuracy improvements
  • SDLC leadership experience, including defining CI/CD pipelines for bot deployment across multiple environments (Dev/Test/Prod)
  • Excellent communication, collaboration, and problem-solving skills
  • Ability to work independently and manage multiple projects simultaneously
  • Passion for innovation and a strong desire to push the boundaries of Conversational AI technology

Benefits:

  • Be a part of a cutting-edge team at the forefront of Conversational AI development in Higher Education
  • Work on challenging and rewarding projects that make a real impact
  • Opportunity to learn and grow your skills in a dynamic and fast-paced environment