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Ai Chatbot Developer Jobs in Allen, TX (NOW HIRING)

Large Language Models/Generative AI, conversational AI/chatbot development, NLP/text mining, search & recommendation systems, prompt engineering/LLM optimization, AI agent architectures.

Large Language Models/Generative AI, conversational AI/chatbot development, NLP/text mining, search & recommendation systems, prompt engineering/LLM optimization, AI agent architectures.

Prompt Engineering, Context Engineering, Harness Engineering * Conversational AI, chatbot development, and dialogue systems * Natural Language Processing and text mining * Search and Recommendation ...

Prompt Engineering, Context Engineering, Harness Engineering * Conversational AI, chatbot development, and dialogue systems * Natural Language Processing and text mining * Search and Recommendation ...

Design, develop, test, and deploy highly scalable and reliable chatbot solutions. * Ensure the ... Bachelor's degree in Computer Science, Engineering, or a related field. * Proven experience as a ...

Design, develop, test, and deploy highly scalable and reliable chatbot solutions. * Ensure the ... Bachelor's degree in Computer Science, Engineering, or a related field. * Proven experience as a ...

Google Cloud ML Engineer

Dallas, TX · On-site

$55.25 - $73.75/hr

... developer to design, build, and deploy advanced conversational AI solutions on Google Cloud. You ... Solid understanding and practical application of MLOps best practices for chatbot pipelines ...

Gen AI Lead - TX

Irving, TX · On-site

$15.50 - $18.75/hr

Lead a team of Gen AI developers and specialists, providing mentorship, guidance, and fostering ... Experience in the chatbot, IVR, or banking domain. * Proven ability to build and manage high ...

Gen AI Lead - TX

Irving, TX · On-site

$15.50 - $18.75/hr

Lead a team of Gen AI developers and specialists, providing mentorship, guidance, and fostering ... Experience in the chatbot, IVR, or banking domain. * Proven ability to build and manage high ...

Experience with chatbot, conversational AI, or virtual assistant platforms. * Experience with prompt engineering and model evaluation techniques. * Experience with GPU-based AI workloads and ...

AWS Connect Developer

Dallas, TX · Remote

$60 - $65/hr

AWS Connect Developer Location : Remote Compensation : 50-60$/Hr on C2C/1099 Work Authorization ... AI/ML services (Lex, Polly, Transcribe, Comprehend) to enhance IVR/chatbot automation. · ...

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Ai Chatbot Developer information

See Allen, TX salary details

$69.3K

$87.2K

$117.7K

How much do ai chatbot developer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for ai chatbot developer in Allen, TX is $87,203.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,400.00 and $88,400.00 per year, depending on experience, location, and employer.

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 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 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.

How much do Ai Chatbot Developers make?

Ai Chatbot Developers typically earn a median annual salary ranging from $70,000 to $120,000, depending on experience, location, and skill level. Salaries can be higher for those with expertise in machine learning, natural language processing, and relevant programming languages like Python or Java. Entry-level positions may start lower, while senior developers or specialists can earn significantly more.

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.

How to become an AI chatbot developer?

To become an AI chatbot developer, you should gain skills in programming languages such as Python or JavaScript, understand natural language processing (NLP) frameworks like TensorFlow or PyTorch, and learn how to design conversational interfaces. Building experience through projects, online courses, or certifications in AI and machine learning can also help establish expertise in developing effective chatbots.

Is Ai Chatbot Developer a good career?

Ai Chatbot Developer is a growing field that involves designing and implementing conversational AI systems using programming languages and machine learning techniques. It offers opportunities in technology companies, requires skills in natural language processing, and often involves continuous learning to keep up with evolving tools and frameworks. Overall, it can be a rewarding career for those interested in AI and software development.
What cities near Allen, TX are hiring for Ai Chatbot Developer jobs? Cities near Allen, TX with the most Ai Chatbot Developer job openings:
Infographic showing various Ai Chatbot Developer job openings in Allen, TX as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $87,203 per year, or $41.9 per hour.

Technology Lead | Data On Cloud - Platform | AWS

Spruce Infotech

Richardson, TX • On-site

Full-time

Posted 24 days ago


Job description

POC: Raju
Job Details:
Job title: Nice CXOne Technical Architect
Work Location with Zip code: Richardson, TX 75082
Duration of the project: 6 Months
• This role requires any travel (Yes/No): NO
• Please confirm if this would be onsite from day one OR Initial remote for 2-3 months, and then expect the candidate to work from the office OR 100% Remote: Onsite from day one
• Is this a 100% remote role? NO
• Vendor rate range: XXX
• Minimum years of experience required: 10+ Years
• Would you require the candidates to meet you for an in-person interview?: Video/Virtual Interview
• Education Qualification required: BE
NICE CXone Solution Architect
1. Role Overview
We are seeking an experienced NICE CXone Solution Architect to lead the architecture, design, and implementation of NICE CXone-based contact center solutions for the LPL Financial Contact Center Transformation Program. The role will focus on callback/contact management, Advisor Live Chat, omnichannel customer engagement, AI chatbot off-ramp integration, voice and digital workflows, enterprise integrations, and operational readiness.
2. Key Responsibilities
Solution Architecture & Design
• Lead end-to-end NICE CXone solution architecture and design governance.
• Create high-level design (HLD), low-level design (LLD), data flow, routing, and integration design artifacts.
• Define target-state architecture, implementation roadmap, design standards, and platform guardrails.
• Conduct architecture reviews and support technical decision-making with stakeholders.
Contact Center Functional Design
• Design ACD routing strategies, IVR call flows, callback workflows, skill-based routing, queue management, and escalation paths.
• Define omnichannel interaction patterns across voice, callback, live chat, and digital channels.
• Support Advisor Live Chat design including advisor workflows, digital routing, and client experience considerations.
• Define AI chatbot off-ramp scenarios and handoff patterns into assisted-service channels.
Platform Integrations
• Design integrations with CRM, telephony platforms, LiveVox, workforce management, quality management, analytics, and enterprise systems.
• Define API, REST/SOAP, webhook, middleware, and data exchange patterns where applicable.
• Ensure integration designs support reliability, monitoring, supportability, and operational readiness.
Technical Leadership & Delivery Support
• Guide developers, SDET engineers, and project teams on architecture principles and implementation best practices.
• Facilitate technical workshops with client SMEs, product owners, operations teams, and delivery teams.
• Support sprint planning, backlog refinement, design clarification, defect triage, and release readiness reviews.
• Provide troubleshooting support and root cause analysis for critical design or platform issues.
Migration, Cutover & Readiness
• Define migration and modernization approach from existing contact center capabilities where applicable.
• Develop cutover, fallback, rollback, and deployment readiness guidance.
• Support production readiness, operational handover, and acceptance sign-off activities.
Operational Excellence
• Ensure the solution considers scalability, performance, high availability, disaster recovery, compliance, security, and reliability.
• Recommend optimization opportunities across routing, customer experience, automation, reporting, and platform operations.
3. Preferred Skills
• NICE CXone certification or equivalent implmentation experience.
• Contact Center Transformation program experience, preferably in financial services.
• Experience with conversational AI, virtual assistant / chatbot integration, and AI-assisted customer engagement.
• Agile/Scrum delivery experience and ability to work with distributed global teams.
• Awareness of DevOps, CI/CD, release management, and operational support processes.
4. Soft Skills & Consulting Expectations
• Strong client-facing communication and stakeholder management skills.
• Ability to facilitate workshops and translate business requirements into architecture decisions.
• Strong problem-solving mindset with ownership of risks, dependencies, and design clarifications.
• Ability to work closely with PM, developers, QA/SDET, operations, and client SMEs.
• Clear documentation discipline and ability to present options, trade-offs, and recommendations.
5. Ideal Candidate Profile
• 10+ years overall IT experience with strong contact center transformation background.
• 5+ years of NICE CXone architecture, solution design, or implementation experience.
• Strong understanding of contact center operations, routing strategy, IVR, ACD, live chat, digital engagement, and callback management.
• Hands-on experience with enterprise integrations and API-based platform design.
• Ability to lead design discussions independently with client stakeholders and delivery teams.
Project Code: Modernization Contact Center