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Generative Ai Chatbot Jobs in Silver Spring, MD (NOW HIRING)

Node.Digital

Senior AI/ML Engineer

Herndon, VA · On-site

$107K - $147K/yr

Experience with generative AI models and frameworks (LLMs, RAG architectures, prompt engineering ... chatbot development and conversational AI Experience with AWS Bedrock Agents and Guardrails ...

Node.Digital

Senior AI/ML Engineer

Herndon, VA · On-site

$107K - $147K/yr

Experience with generative AI models and frameworks (LLMs, RAG architectures, prompt engineering ... chatbot development and conversational AI Experience with AWS Bedrock Agents and Guardrails ...

Node.Digital

Senior AI/ML Engineer

Herndon, VA · On-site +1

$107K - $147K/yr

Experience with generative AI models and frameworks (LLMs, RAG architectures, prompt engineering ... chatbot development and conversational AI Experience with AWS Bedrock Agents and Guardrails ...

Node.Digital LLC

Senior AI/ML Engineer

Herndon, VA · On-site

$140 - $190/hr

Experience with generative AI models and frameworks (LLMs, RAG architectures, prompt engineering ... Knowledge of chatbot development and conversational AI * Experience with AWS Bedrock Agents and ...

Halvik

AI/ML Subject Matter Expert

Vienna, VA · Remote

Experience building feature repositories for AI-ML model trainingProject work in deep learning, transformers, computer vision, NLP, or chatbot developmentExperience in developing Generative AI ...

Halvik

AI/ML Subject Matter Expert

Vienna, VA · On-site

$195K - $210K/yr

Project work in deep learning, transformers, computer vision, NLP, or chatbot development * Experience in developing Generative AI applications especially using LLMs in domains such as NLP and image ...

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Generative Ai Chatbot information

See Silver Spring, MD salary details

$55.8K

$106.6K

$196.9K

How much do generative ai chatbot jobs pay per year?

As of Aug 28, 2026, the average yearly pay for generative ai chatbot in Silver Spring, MD is $106,615.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,200.00 and $124,100.00 per year, depending on experience, location, and employer.

What is a generative AI chatbot?

A Generative AI Chatbot is an artificial intelligence system designed to engage in human-like conversations by generating responses to user inputs in real time. Unlike traditional rule-based chatbots that rely on predefined scripts, generative AI chatbots use advanced machine learning models—often based on large language models—to understand context and produce original, relevant responses. These chatbots can be used in customer service, education, entertainment, and more, offering personalized and dynamic interactions. They continue to improve as they process more data and user interactions.

What are some common challenges faced by professionals working on generative AI chatbot development, and how can they be addressed?

Professionals developing generative AI chatbots often encounter challenges such as managing ambiguous user inputs, ensuring conversational relevance, and maintaining ethical standards like avoiding biased or inappropriate responses. Collaboration with interdisciplinary teams—including data scientists, linguists, and UX designers—is vital to continuously improve the chatbot's performance. Regular testing, user feedback, and fine-tuning of language models are essential practices to address these challenges and enhance the chatbot's ability to handle diverse real-world conversations.

What are the key skills and qualifications needed to thrive as a generative AI chatbot developer, and why are they important?

To thrive as a Generative AI Chatbot Developer, you need strong programming expertise (especially in Python), a solid understanding of machine learning and natural language processing (NLP), and typically a degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with APIs, and knowledge of cloud platforms such as AWS or Azure are commonly required, along with relevant AI or ML certifications. Creativity, problem-solving, and effective communication are vital soft skills for designing engaging, user-friendly conversational experiences and collaborating with cross-functional teams. These skills are crucial for building reliable, scalable, and innovative AI chatbots that meet user needs and business objectives.

What is the difference between Generative Ai Chatbot vs Data Scientist?

AspectGenerative Ai ChatbotData Scientist
Required CredentialsBasic programming, AI/ML knowledgeDegree in Data Science, Statistics, or related field
Work EnvironmentTech companies, customer service platformsResearch labs, corporate analytics teams
Industry UsageAutomated customer interactions, content generationData analysis, predictive modeling, insights
Search & Comparison IntentUnderstanding AI chatbot capabilitiesData analysis skills and roles

Generative Ai Chatbots focus on creating conversational AI for customer engagement, requiring programming and AI knowledge. Data Scientists analyze data to generate insights, often with advanced degrees. While both work in tech environments, their roles differ in purpose and skill set.

What are popular job titles related to Generative Ai Chatbot jobs in Silver Spring, MD?

For Generative Ai Chatbot jobs in Silver Spring, MD, the most frequently searched job titles are:

What job categories do people searching Generative Ai Chatbot jobs in Silver Spring, MD look for?

The top searched job categories for Generative Ai Chatbot jobs in Silver Spring, MD are:

What cities near Silver Spring, MD are hiring for Generative Ai Chatbot jobs?

Cities near Silver Spring, MD with the most Generative Ai Chatbot job openings:

Generative Ai Chatbot jobs near you

Lead Conversational AI Developer

Software Guidance & Assistance

Bethesda, MD • On-site

$124K - $155K/yr

Other

Posted 17 days ago

Job description

Software Guidance & Assistance, Inc., (SGA), is searching for a Lead Conversational AI Developer for a right-to-hire contractor assignment with one of our premier higher education clients. This is a REMOTE position requiring working east coast hours.
Our client is expanding its enterprise Conversational AI platform supporting digital experiences across web, mobile, and other channels. The platform integrates conversational applications with enterprise systems and backend services to provide intelligent, personalized, and transactional experiences for users.
This is an excellent opportunity for a hands-on software engineer who has built and deployed production enterprise chatbots or virtual assistants. The ideal candidate will bring a strong software engineering foundation along with experience across conversational application development, web technologies, APIs, databases, and enterprise integrations. Deep Generative AI expertise is not required; strong traditional chatbot developers who have begun working with modern AI/LLM technologies are encouraged to apply.
Responsibilities:
  • Drive the full lifecycle development of enterprise chatbots and virtual assistants from design through production deployment.
  • Design, develop, enhance, and support conversational applications using Microsoft Azure Bot Framework v4, Kore.ai, or similar Conversational AI technologies.
  • Develop custom conversational application functionality using C#, .NET, JavaScript, HTML, and CSS.
  • Design and implement conversational flows, dialog management, intent handling, and application logic.
  • Integrate conversational applications with enterprise systems, APIs, databases, and backend services.
  • Develop integrations using Azure Functions, Azure Logic Apps, REST APIs, and other integration technologies.
  • Support integrations with enterprise applications such as Salesforce, including live-agent handoffs, Knowledge retrieval, Case creation, and other workflows.
  • Troubleshoot issues across the full application stack, including conversational flows, application code, APIs, databases, web applications, and backend integrations.
  • Incorporate NLP/NLU technologies to understand user intent and provide accurate conversational responses.
  • Integrate Generative AI and LLM services where appropriate to enhance conversational experiences, search, fallback handling, and content generation.
  • Develop conversational experiences across web, mobile, messaging, and other digital channels.
  • Work with SQL and application databases to understand data flows, troubleshoot issues, and support integrations.
  • Monitor conversation performance and user interactions to identify opportunities to improve accuracy and user experience.
  • Collaborate with product owners, developers, UX/UI teams, business stakeholders, and enterprise application teams.
  • Participate in application architecture, testing, deployment, CI/CD, and production support activities.
  • Stay current with emerging Conversational AI and Generative AI technologies and identify opportunities to apply them within the platform.
Required Skills:
  • 5+ years of professional software development experience.
  • Strong hands-on experience building and deploying production enterprise chatbots, virtual assistants, or Conversational AI applications.
  • Strong software engineering and application development background with the ability to work across multiple layers of an application.
  • Strong hands-on C# and .NET development experience.
  • Experience with Microsoft Azure Bot Framework v4 or strong experience with another enterprise Conversational AI/chatbot development platform.
  • Strong web development skills including JavaScript, HTML, and CSS.
  • Experience designing conversational flows, dialog management, intent handling, NLP/NLU, and chatbot application logic.
  • Strong REST API and enterprise systems integration experience.
  • Strong SQL and database skills, including the ability to query data and troubleshoot application/data integration issues.
  • Experience integrating applications with backend systems and enterprise services.
  • Ability to troubleshoot complex technical issues across application code, APIs, databases, web applications, and integrations.
  • Experience with modern SDLC practices, source control, testing, and CI/CD.
  • Strong analytical and problem-solving skills.
  • Ability to work independently while collaborating effectively across technical, product, UX, and business teams.
  • Excellent verbal and written communication skills.
Preferred Skills:
  • Deep experience with Microsoft Azure Bot Framework v4, including Adaptive Dialogs, Waterfall Dialogs, and middleware customization.
  • Experience with Azure Functions and Azure Logic Apps.
  • Experience with Azure OpenAI, GPT, Claude, Gemini, or other Generative AI/LLM technologies.
  • Experience integrating traditional Conversational AI/NLU capabilities with Generative AI models.
  • Experience with Azure Conversational Language Understanding (CLU) or similar NLU technologies.
  • Experience with Salesforce REST/SOAP APIs, Live Agent integrations, Knowledge retrieval, or Case creation.
  • Experience with Azure Cosmos DB for conversation state, user data, or telemetry.
  • Experience with MuleSoft or similar enterprise middleware/ESB technologies.
  • Experience with Power BI or other tools used to analyze conversation logs and application performance.
  • Experience with Kore.ai or other enterprise Conversational AI platforms.
  • Experience deploying conversational applications across web and mobile channels.
  • Exposure to AI-powered search, Retrieval-Augmented Generation (RAG), AI agents, or agentic workflows.
  • Bachelor's Degree.
SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say let's work better together, we mean it. You'll join a diverse team built on these core values: customer service, employee development, and quality and integrity in everything we do. Be yourself, love what you do and find your passion at work. Please find us at .
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SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, and our services, programs, and activities. Please visit our company EEO page to request an accommodation or assistance regarding our policy.

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