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Contract Chatbot Conversational Ai Jobs (NOW HIRING)

AI/Chatbot Developer Duration: 6 Month contract initially with likely extensions Expected Start Date: As soon as possible Sr. developers with experience in conversational AI system (chatbot) from any ...

Lead Conversational AI Developer

Adelphi, MD · On-site

$130 - $145/hr

  • Medical

  • Life

  • Retirement

  • PTO

Lead Conversational AI Developer Full‑time, Exempt, Pay Grade 4.2. Hybrid work location ... Leverage generative AI services to enhance chatbot responses with creativity and personalization.

New

Conversational AI Product Manager

Stamford, CT · Hybrid

$65 - $80/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Top Skills' Details: 7+ years of experience in conversational AI, chatbot platforms, digital ... in a contract environment Business Drivers: Increase sales conversion through conversational ...

Conversational AI Product Manager

Stamford, CT · Hybrid

$65 - $80/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Top Skills' Details: 7+ years of experience in conversational AI, chatbot platforms, digital ... in a contract environment Business Drivers: Increase sales conversion through conversational ...

Showing results 41-60

Contract Chatbot Conversational Ai information

See salary details

$67.5K

$118K

$184K

How much do contract chatbot conversational ai jobs pay per year?

As of Aug 19, 2026, the average yearly pay for contract chatbot conversational ai in the United States is $118,044.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,500.00 and $130,000.00 per year, depending on experience, location, and employer.

What is a contract chatbot conversational AI?

A Contract Chatbot Conversational AI is an artificial intelligence system designed to interact with users through natural language, specifically for tasks related to contracts. This type of AI can answer questions about contracts, guide users through contract creation or review, and automate repetitive legal workflows. Often deployed by businesses or legal teams on a temporary or project basis, these chatbots help improve efficiency by providing instant support and reducing manual contract work. They are typically built using advanced natural language processing and machine learning technologies.

What are the key skills and qualifications needed to thrive as a contract chatbot conversational AI specialist?

To thrive as a Contract Chatbot Conversational AI Specialist, you need expertise in natural language processing, dialogue design, and programming languages such as Python or JavaScript, often supported by a degree in computer science or a related field. Familiarity with AI platforms like Dialogflow, Microsoft Bot Framework, and chatbot analytics tools, as well as relevant certifications, is typically required. Strong problem-solving, creativity, and effective communication help you design user-friendly conversational flows and collaborate with clients or teams. These skills ensure the development of efficient, engaging, and technically robust chatbot solutions that meet business objectives.

What are the typical collaboration dynamics for a contract chatbot conversational AI specialist within a project team?

As a Contract Chatbot Conversational AI Specialist, you’ll often work closely with product managers, UX/UI designers, developers, and data scientists to design, build, and refine chatbot experiences. Effective communication is key, as you’ll need to translate business requirements into conversational flows and integrate feedback from various team members. Your role may also involve regular check-ins and agile sprints to ensure the chatbot meets user needs and technical specifications. Collaboration tools such as Slack, Jira, or Trello are commonly used to facilitate teamwork and project tracking.

What is the difference between Contract Chatbot Conversational Ai vs Customer Service Representative?

AspectContract Chatbot Conversational AiCustomer Service Representative
Required SkillsAI programming, natural language processing, chatbot developmentCommunication, problem-solving, customer interaction
Work EnvironmentRemote, tech-focused, project-basedOffice or remote, customer-facing
Industry UsageTech, e-commerce, finance, healthcareRetail, telecom, banking, hospitality

Contract Chatbot Conversational Ai specialists develop and implement AI-driven chatbots, focusing on programming and AI models. Customer Service Representatives handle direct customer interactions, providing support and resolving issues. While both roles involve communication, the former is technical and project-based, whereas the latter is customer-facing and service-oriented.

More about Contract Chatbot Conversational Ai jobs

What cities are hiring for Contract Chatbot Conversational Ai jobs?

Cities with the most Contract Chatbot Conversational Ai job openings:

What are the most commonly searched types of Chatbot Conversational Ai jobs?

The most popular types of Chatbot Conversational Ai jobs are:

What states have the most Contract Chatbot Conversational Ai jobs?

States with the most job openings for Contract Chatbot Conversational Ai jobs include:

Infographic showing various Contract Chatbot Conversational Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $118,044 per year, or $56.8 per hour.

Conversational AI Developer

Noblesoft Technologies

Adelphi, MD • Remote

Contractor

Re-posted yesterday


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