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Conversational Ai Jobs (NOW HIRING)

Symple Lending, Inc.

About the Role We're seeking a Software Engineer - Conversational AI to join our Customer Engagement team. You'll design, build, and maintain the cloud infrastructure and REST APIs that power our AI ...

Fora

Conversational AI Operations Specialist

New York, NY · On-site

$60K - $90K/yr

Join our Conversational AI team and play a critical role in scaling Sidekick to deliver exceptional instant support experiences for our advisors. In this role, you'll design and implement systems to ...

TEKsystems

Conversational AI Product Manager

Stamford, CT · Hybrid

$65 - $80/hr

Top Skills' Details: 7+ years of experience in conversational AI, chatbot platforms, digital customer experience, or digital sales channel management Experience owning and optimizing customer-facing ...

Golden 1

$123K - $135K/yr

Lead Conversational AI Engineer Status: Exempt Reports to: Manager - Solutions Engineering Department: IT - Digital Applications Job Code: 12107 Pay Range: $123,600.00 - $135,000.00 Annually Location:

Verint

Sr. Conversational AI Consultant

The Sr. Conversational AI Consultant serves as a strategic advisor and lead consultant for customers leveraging AI-powered customer experience and operational solutions. This role partners closely ...

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How much do conversational ai jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for conversational ai in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What is a conversational AI?

A Conversational AI job involves designing, developing, and optimizing AI-powered chatbots, virtual assistants, and voice interfaces to improve user interactions. Professionals in this field work with natural language processing (NLP), machine learning, and conversational design to create seamless and intuitive AI responses. Roles can range from AI engineers and chatbot developers to conversation designers and data analysts. These jobs require a mix of technical skills, linguistic expertise, and user experience (UX) knowledge. The goal is to enhance customer support, automation, and user engagement through intelligent dialogue systems.

What does a conversational AI do?

In a Conversational AI role, you can expect to work on developing and fine-tuning chatbots, virtual assistants, and voice interfaces to improve user interaction and automate customer support. Responsibilities often include designing conversation flows, training language models, evaluating user interactions, and collaborating with product managers, UX designers, and software engineers. Many Conversational AI professionals also conduct ongoing research to implement the latest advancements and refine system accuracy. This role provides exposure to varied industries such as healthcare, finance, and e-commerce, offering significant opportunities for both technical growth and cross-functional collaboration.

What are the key skills and qualifications needed to thrive in a conversational AI position?

To thrive as a Conversational AI professional, you need expertise in natural language processing (NLP), machine learning, computer science, and the ability to design effective, user-friendly dialogue systems. Familiarity with Python, TensorFlow or PyTorch, cloud platforms, chatbot frameworks, and often certifications in AI or data science are valued in this field. Creativity, problem-solving, strong communication skills, and a user-centric mindset help professionals excel in building intuitive conversational experiences. These skills ensure the development of reliable, engaging AI-driven interfaces that meet business objectives and enhance user satisfaction.

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Conversational Ai jobs near you
Infographic showing various Conversational Ai job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 76% Full Time, 20% Part Time, and 3% Contract. Highlights an 62% Physical, 4% Hybrid, and 34% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Chatbot Developer - Conversational AI

Adelphi, MD • Remote

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

Contractor

Re-posted 5 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.