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Conversational Ai Director Jobs (NOW HIRING)

Bakertilly

Consulting AI Director

Concord, NC · On-site +1

$12 - $15.75/hr

Visitbakertilly.comor join the conversation onLinkedIn,FacebookandInstagram. Please discuss the ... underlying AI technology platform or technical delivery organization. The Director must bring ...

Bakertilly

Consulting AI Director

Orlando, FL · On-site

$12.25 - $15.75/hr

Visitbakertilly.comor join the conversation onLinkedIn,FacebookandInstagram. Please discuss the ... underlying AI technology platform or technical delivery organization. The Director must bring ...

New

Hopper Inc.

$140 - $210/hr

Build working prototypes using AI coding tools where they beat a written spec, to test conversation ... Through HTS, our B2B division, the company supercharges its partners\' direct channels by ...

Bakertilly

Consulting AI Director

New York, NY · On-site +1

$14.25 - $18.50/hr

Visitbakertilly.comor join the conversation onLinkedIn,FacebookandInstagram. Please discuss the ... underlying AI technology platform or technical delivery organization. The Director must bring ...

Bakertilly

Consulting AI Director

$13.25 - $17.50/hr

Visitbakertilly.comor join the conversation onLinkedIn,FacebookandInstagram. Please discuss the ... underlying AI technology platform or technical delivery organization. The Director must bring ...

New

Hopper

Build working prototypes using AI coding tools where they beat a written spec, to test conversation ... Through HTS, our B2B division, the company supercharges its partners' direct channels by ...

Apply

$140 - $210/hr

Build working prototypes using AI coding tools where they beat a written spec, to test conversation ... Through HTS, our B2B division, the company supercharges its partners\' direct channels by ...

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Conversational Ai Director information

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$35K

$92.1K

$175K

How much do conversational ai director jobs pay per year?

As of Aug 24, 2026, the average yearly pay for conversational ai director in the United States is $92,073.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,000.00 and $110,000.00 per year, depending on experience, location, and employer.

What is a Conversational AI Director?

A Conversational AI Director is a leadership role responsible for overseeing the strategy, design, development, and deployment of conversational artificial intelligence solutions, such as chatbots and virtual assistants, within an organization. They collaborate with cross-functional teams including product, engineering, and customer experience to ensure AI-powered solutions effectively meet user needs and business goals. This role also involves staying updated with emerging AI technologies, setting best practices, and measuring the impact of conversational AI initiatives.

How does a Conversational AI Director typically collaborate with cross-functional teams to drive successful AI initiatives?

A Conversational AI Director works closely with product managers, engineers, data scientists, UX designers, and business stakeholders to ensure that AI-driven conversational solutions align with both technical feasibility and business goals. They facilitate communication between teams, set strategic roadmaps, and oversee the development and deployment of conversational systems. Regular cross-functional meetings and collaborative planning sessions are common, as the role requires balancing innovation with user experience and operational constraints. This collaborative approach helps deliver AI solutions that are both effective and scalable within the organization.

What are the key skills and qualifications needed to thrive as a Conversational AI Director, and why are they important?

To thrive as a Conversational AI Director, you need deep expertise in AI, natural language processing, and product management, often supported by advanced degrees in computer science or related fields. Familiarity with machine learning frameworks, conversational AI platforms (such as Dialogflow or Rasa), and relevant certifications is important. Strong leadership, stakeholder management, and strategic communication skills help drive cross-functional alignment and innovation. These competencies ensure effective development and deployment of conversational AI solutions that meet business goals and deliver exceptional user experiences.

What is the difference between Conversational Ai Director vs Conversational Ai Engineer?

AspectConversational Ai DirectorConversational Ai Engineer
Required CredentialsTypically a bachelor’s or master’s in computer science, AI, or related fields; leadership experienceDegree in computer science, AI, or software engineering; coding certifications
Work EnvironmentStrategic leadership, project management, cross-team collaborationHands-on development, coding, model training, and testing
Industry UsageUsed in organizations to oversee AI projects and strategyInvolved in building and deploying conversational AI systems
Common Search/ComparisonYesNo

The Conversational Ai Director focuses on strategic oversight, team leadership, and project management of conversational AI initiatives. In contrast, the Conversational Ai Engineer is primarily responsible for developing, coding, and deploying AI models. Both roles are essential but differ significantly in scope and responsibilities.

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Conversational Ai Director jobs near you
Infographic showing various Conversational Ai Director 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 $92,073 per year, or $44.3 per hour.

Chatbot Developer - Conversational AI

Noblesoft Technologies

Adelphi, MD • Remote

Contractor

Re-posted 13 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.