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Ai Chatbot Developer Jobs in Tennessee (NOW HIRING)

Pomeroy

AI Developer

Knoxville, TN · Remote

... AI developer to support the transformation of our Global IT Service Desk through practical ... Build and optimize chatbot/conversational AI capabilities to drive self-service and reduce contact ...

New

All JobsAi Chatbot Developer JobsAi Chatbot Developer Jobs in Tennessee

Ai Chatbot Developer information

See Tennessee salary details

$67.6K

$85.1K

$114.8K

How much do ai chatbot developer jobs pay per year?

As of Aug 28, 2026, the average yearly pay for ai chatbot developer in Tennessee is $85,089.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,600.00 and $86,200.00 per year, depending on experience, location, and employer.

What does an AI Chatbot Developer do?

An AI Chatbot Developer designs, builds, and maintains intelligent conversational agents that can communicate with users through text or voice. They use artificial intelligence, natural language processing, and machine learning techniques to create chatbots capable of understanding and responding to user queries. Their responsibilities often include writing code, training chatbot models, integrating chatbots with various platforms, and improving bot performance based on user interactions.

What are the key skills and qualifications needed to thrive as an AI Chatbot Developer?

To thrive as an AI Chatbot Developer, you need strong programming skills (especially in Python or JavaScript), understanding of natural language processing (NLP), and a background in computer science or a related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), chatbot platforms (such as Dialogflow or Microsoft Bot Framework), and relevant APIs or cloud services is essential. Creative problem-solving, effective communication, and adaptability are important soft skills for designing engaging user experiences and addressing evolving requirements. These skills ensure robust, intelligent chatbot solutions that deliver value through seamless user interactions and continuous improvement.

What are some common challenges AI Chatbot Developers face when integrating chatbots with existing business systems?

One of the main challenges Ai Chatbot Developers encounter is ensuring seamless integration of chatbots with existing business platforms such as CRM, databases, or helpdesk software. This often requires deep understanding of APIs, data privacy regulations, and company-specific workflows. Developers must also ensure that the chatbot can accurately process and respond to user queries while securely accessing and updating relevant information. Collaboration with IT and business operations teams is key to addressing compatibility and security concerns during integration.

What is the difference between Ai Chatbot Developer vs AI Software Engineer?

AspectAi Chatbot DeveloperAI Software Engineer
CredentialsRelevant programming certifications, AI, NLP knowledgeComputer science degrees, AI certifications
Work EnvironmentDeveloping conversational interfaces, scripting, UI designBuilding AI models, algorithms, software systems
Industry UsageCustomer service, virtual assistants, chat platformsBroader AI applications across industries
Search/Comparison IntentFocus on chatbot-specific skills and toolsBroader AI development skills and projects

While both roles involve AI and programming, Ai Chatbot Developers specialize in creating conversational agents and chat interfaces, often focusing on NLP and UI design. AI Software Engineers work on developing a wide range of AI models and systems across various applications. The roles overlap in technical skills but differ in their primary focus and industry applications.

What cities in Tennessee are hiring for Ai Chatbot Developer jobs?

Cities in Tennessee with the most Ai Chatbot Developer job openings:

Ai Chatbot Developer jobs near you
Infographic showing various Ai Chatbot Developer job openings in Tennessee as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $85,089 per year, or $40.9 per hour.

AI Developer

Knoxville, TN • Remote

Pomeroy
See more jobs at Pomeroyexternal

Full-time

Posted 3 days ago

New

Job description

Role: Professional, AI & Automation
Engagement Type:External Consultant / Contract
Reporting To:Director, Global IT Service Desk & Quality & Performance Management
Location:Flexible / Remote with global collaboration
Role Overview
We are looking for a hands-on AI developer to support the transformation of our Global IT Service Desk through practical, scalable, and measurable AI solutions.
This role will primarily focus on delivering AI-enabled capabilities that improve users experience, increase self-service adoption, reduce manual efforts, and support faster resolution of IT requests and incidents. The ideal candidate will have strong experience designing and developing AI-driven solutions, with exposure to platforms such as ServiceNow, Power Automate, conversational AI, workflow automation, and data-driven service improvement.
Although the role supports Service Desk transformation, the main focus is not traditional service desk operations. The priority is to build and deliver AI and automation solutions that create measurable business value.
Key Responsibilities
Strategy & Assessment
  • Assess current Service Desk processes, workflows, and ticket volumes (incidents, requests, self-service).
  • Identify high-impact automation and AI use cases aligned to business outcomes (cost reduction, AHT, deflection, CSAT).
  • Support AI & automation roadmap, including quick wins and mid/long-term opportunities.
Solution Design & Implementation
  • Design and implement AI solutions using ServiceNow (Flow Designer, Virtual Agent, Integration Hub) and automations using Power Automate.
  • Build and optimize chatbot/conversational AI capabilities to drive self-service and reduce contact volume.
  • Develop automations for common Service Desk tasks (e.g., password resets, access provisioning, incident routing, knowledge surfacing).

Process Optimization
  • Standardization and streamline workflows across global Service Desk operations.
  • Introduce intelligent routing, triage, and knowledge recommendations leveraging AI.
  • Partner with IT teams (Infrastructure, Security, Workplace, Apps) to embed automation into end-to-end processes.
Data & Performance Management
  • Support KPIs and success metrics (deflection rate, automation rate, AHT reduction, resolution time, cost per ticket).
  • Build dashboards and reporting to track automation impact and ROI.
  • Use analytics to continuously refine and expand automation opportunities.
Governance & Enablement
  • Establish automation governance (intake, prioritization, design standards).
  • Create reusable frameworks and best practices for scaling automation globally.
  • Upskill internal teams on AI/automation tools, processes, and adoption.
Key Deliverables
  • AI & Automation opportunity assessment and prioritized backlog.
  • 6-12 month roadmap with measurable targets (e.g., 10-20% ticket reduction).
  • Implemented automations and chatbot use cases (with documented results).
  • KPI dashboard and reporting framework.
  • Governance model and operating playbook.
Qualifications
Required Experience
  • 5+ years in ITSM, Service Desk, IT Operations optimization and AI.
  • Proven experience implementing automation within ServiceNow (or comparable ITSM platforms).
  • Hands-on experience with conversational AI / chatbot tools (e.g. ServiceNow Virtual Agent).
  • Demonstrated success delivering measurable efficiency gains (cost reduction, ticket. deflection, AHT improvement).

Technical Skills
  • ServiceNow (Flow Designer, Virtual Agent, scripting preferred).
  • API integrations and workflow automation.
  • Data analysis and reporting (Power BI, ServiceNow Performance Analytics, or similar).
  • Understanding of AI/ML use cases in IT operations.
Core Competencies
  • Strong stakeholder management across global IT teams
  • Ability to translate business needs into scalable technical solutions
  • Comfortable operating in a complex, cross-functional environment
Success Criteria
  • Deliver baseline assessment and automation roadmap
  • Launch 3-5 high-impact automation use cases (quick wins)
  • Establish KPI tracking and demonstrate early value (e.g., deflection or AHT reduction)
  • Align cross-functional stakeholders on governance and execution model
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