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Generative Ai Chatbot Jobs in Scottsdale, AZ (NOW HIRING)

LPL Financial

Sr Analyst - Digital Enablement

Tempe, AZ · On-site +1

$85.90K - $143.17K/yr

Products include LPL's client facing conversational AI chatbot, generative AI search, in-product contextual help, and the content which powers each of these self-help solutions. The ideal candidate ...

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Generative Ai Chatbot information

See Scottsdale, AZ salary details

$54.4K

$103.9K

$191.9K

How much do generative ai chatbot jobs pay per year?

As of May 27, 2026, the average yearly pay for generative ai chatbot in Scottsdale, AZ is $103,902.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,100.00 and $120,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Generative AI Chatbot Developer, and why are they important?

To thrive as a Generative AI Chatbot Developer, you need strong programming expertise (especially in Python), a solid understanding of machine learning and natural language processing (NLP), and typically a degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with APIs, and knowledge of cloud platforms such as AWS or Azure are commonly required, along with relevant AI or ML certifications. Creativity, problem-solving, and effective communication are vital soft skills for designing engaging, user-friendly conversational experiences and collaborating with cross-functional teams. These skills are crucial for building reliable, scalable, and innovative AI chatbots that meet user needs and business objectives.

What are some common challenges faced by professionals working on generative AI chatbot development, and how can they be addressed?

Professionals developing generative AI chatbots often encounter challenges such as managing ambiguous user inputs, ensuring conversational relevance, and maintaining ethical standards like avoiding biased or inappropriate responses. Collaboration with interdisciplinary teams—including data scientists, linguists, and UX designers—is vital to continuously improve the chatbot's performance. Regular testing, user feedback, and fine-tuning of language models are essential practices to address these challenges and enhance the chatbot's ability to handle diverse real-world conversations.

What is a Generative AI Chatbot?

A Generative AI Chatbot is an artificial intelligence system designed to engage in human-like conversations by generating responses to user inputs in real time. Unlike traditional rule-based chatbots that rely on predefined scripts, generative AI chatbots use advanced machine learning models—often based on large language models—to understand context and produce original, relevant responses. These chatbots can be used in customer service, education, entertainment, and more, offering personalized and dynamic interactions. They continue to improve as they process more data and user interactions.

What is the difference between Generative Ai Chatbot vs Data Scientist?

AspectGenerative Ai ChatbotData Scientist
Required CredentialsBasic programming, AI/ML knowledgeDegree in Data Science, Statistics, or related field
Work EnvironmentTech companies, customer service platformsResearch labs, corporate analytics teams
Industry UsageAutomated customer interactions, content generationData analysis, predictive modeling, insights
Search & Comparison IntentUnderstanding AI chatbot capabilitiesData analysis skills and roles

Generative Ai Chatbots focus on creating conversational AI for customer engagement, requiring programming and AI knowledge. Data Scientists analyze data to generate insights, often with advanced degrees. While both work in tech environments, their roles differ in purpose and skill set.

What are popular job titles related to Generative Ai Chatbot jobs in Scottsdale, AZ? For Generative Ai Chatbot jobs in Scottsdale, AZ, the most frequently searched job titles are:
What job categories do people searching Generative Ai Chatbot jobs in Scottsdale, AZ look for? The top searched job categories for Generative Ai Chatbot jobs in Scottsdale, AZ are:
What cities near Scottsdale, AZ are hiring for Generative Ai Chatbot jobs? Cities near Scottsdale, AZ with the most Generative Ai Chatbot job openings:
Generative Ai Chatbot jobs near you
GenAI with Chatbot

GenAI with Chatbot

Donato Technologies, Inc

Phoenix, AZ • On-site

Other

Posted 8 days ago

Job description

GenAI with Chatbot
Phoenix, Arizona
Job description

We are seeking an experienced AI Architect to lead the design, development, and implementation of an advanced internal-facing assistant solution. The ideal candidate will have a strong background in architecture, product evaluation, and hands-on implementation experience with AI-powered assistants similar to Glean or Rogo.

Key Responsibilities:

Design and architect a scalable, secure, and efficient internal assistant solution using cutting-edge AI and natural language processing technologies

Develop proof-of-concepts and prototypes to validate architectural decisions

Lead the integration of the chatbot with internal systems, databases, and APIs

Collaborate with cross-functional teams to gather requirements and ensure alignment with business objectives

Implement best practices for AI model deployment, monitoring, and continuous improvement

Provide technical leadership and mentorship to the development team

Stay up-to-date with the latest advancements in AI, GenAI, and LLMs, incorporating innovative features into the chatbot architecture

Required Qualifications:

10+ years of experience in software development, with a focus on AI and machine learning

Proven experience architecting and implementing internal-facing AI chatbot solutions similar to Glean or Rogo

Strong hands-on experience with Python, LLMs, and Generative AI technologies

Deep understanding of natural language processing, sentiment analysis, and text generation techniques

Expertise in cloud platforms (AWS, Azure, or GCP) for AI model deployment and scaling

Experience with MLOps practices and tools for model lifecycle management

Strong problem-solving skills and ability to translate complex business requirements into technical solutions

Excellent communication skills to explain technical concepts to both technical and non-technical stakeholders

Skills
Skills

PRIMARY COMPETENCY : Cognitive Services PRIMARY SKILL : AI/ML (Artificial Intelligence & Machine Learning) Algorithms PRIMARY SKILL PERCENTAGE : 60 SECONDARY COMPETENCY : Cognitive Services SECONDARY SKILL : Web Frameworks for Python (Flask & Django) SECONDARY SKILL PERCENTAGE : 40