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Generative Ai Chatbot Jobs (NOW HIRING)

Sr Analyst - Digital Enablement

San Diego, CA · On-site

$90.80K - $113.10K/yr

... such as AI chatbots and generative AI search. Responsibilities : • Analyze and monitor key ... Chatbot, GenAI Search, in-product contextual help) performance. • Leverage AI tools and ...

Senior AI/ML Engineer

Herndon, VA · On-site

$107.50K - $147.60K/yr

Experience with generative AI models and frameworks (LLMs, RAG architectures, prompt engineering ... chatbot development and conversational AI Experience with AWS Bedrock Agents and Guardrails ...

Senior AI/ML Engineer

Herndon, VA · On-site +1

$107.50K - $147.60K/yr

Experience with generative AI models and frameworks (LLMs, RAG architectures, prompt engineering ... chatbot development and conversational AI Experience with AWS Bedrock Agents and Guardrails ...

Senior AI/ML Engineer

Herndon, VA · On-site

$107.50K - $147.60K/yr

Experience with generative AI models and frameworks (LLMs, RAG architectures, prompt engineering ... chatbot development and conversational AI Experience with AWS Bedrock Agents and Guardrails ...

Large Language Models (LLMs) and Generative AI * Conversational AI, chatbot development, and dialogue systems * Natural Language Processing and text mining * Search and Recommendation systems

Large Language Models (LLMs) and Generative AI * Conversational AI, chatbot development, and dialogue systems * Natural Language Processing and text mining * Search and Recommendation systems

Large Language Models (LLMs) and Generative AI * Conversational AI, chatbot development, and dialogue systems * Natural Language Processing and text mining * Search and Recommendation systems

Develop Generative AI applications including document processing, knowledge retrieval, claims summarization, and chatbot solutions. * Implement prompt engineering, RAG pipelines, model tuning, and ...

Develop Generative AI applications including document processing, knowledge retrieval, claims summarization, and chatbot solutions. Implement prompt engineering, RAG pipelines, model tuning, and ...

Develop Generative AI applications including document processing, knowledge retrieval, claims summarization, and chatbot solutions. * Implement prompt engineering, RAG pipelines, model tuning, and ...

Large Language Models (LLMs) and Generative AI * Conversational AI, chatbot development, and dialogue systems * Natural Language Processing and text mining * Search and Recommendation systems

Large Language Models (LLMs) and Generative AI * Conversational AI, chatbot development, and dialogue systems * Natural Language Processing and text mining * Search and Recommendation systems

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.

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.

Sr Analyst - Digital Enablement

Austin, TX · 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 ...

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

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Generative Ai Chatbot information

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$54K

$103.1K

$190.5K

How much do generative ai chatbot jobs pay per year?

As of May 31, 2026, the average yearly pay for generative ai chatbot in the United States is $103,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $120,000.00 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.

More about Generative Ai Chatbot jobs
What cities are hiring for Generative Ai Chatbot jobs? Cities with the most Generative Ai Chatbot job openings:
What states have the most Generative Ai Chatbot jobs? States with the most job openings for Generative Ai Chatbot jobs include:
Infographic showing various Generative Ai Chatbot job openings in the United States as of May 2026, with employment types broken down into 96% Full Time, and 4% Part Time. Highlights an 98% Physical, and 2% Remote job distribution, with an average salary of $103,131 per year, or $49.6 per hour.
Sr Analyst - Digital Enablement

Sr Analyst - Digital Enablement

LPL Financial

San Diego, CA • On-site

$90.80K - $113.10K/yr

Full-time

Posted 7 days ago


LPL Financial rating

7.6

Company rating: 7.6 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

106th of 138 rated financial services


Job description

Job Summary:
LPL Financial is a leading wealth management firm in the U.S. seeking a Sr Analyst for their Digital Enablement Team. This role involves creating innovative data analytics solutions to inform product strategy and improve client-facing technologies such as AI chatbots and generative AI search.
Responsibilities:
• Analyze and monitor key performance indicators (KPIs) such as product adoption, deflection efficacy, and experiential feedback.
• Leverage descriptive analytics and data visualization to extract actionable insights to improve product (eg AI Chatbot, GenAI Search, in-product contextual help) performance.
• Leverage AI tools and innovative analytics to identify opportunities to improve knowledge content which may be limiting performance and adoption of self-help resources.
• Provide training and change management support to internal stakeholders and advisors for new launches and product enhancements.
• Participate in (and lead aspects of) gathering and analysis of user feedback, usability testing and journey mapping / design to improve user experience.
• Partner with VP Journey Design to identify opportunities for workflow automation and in-product contextual help, and optimization of search functionality.
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Engineering, Business, or related field; MBA or advanced technical degree preferred.
• 5+ years of experience in digital transformation, client experience, or project management
• Excellent in communicating high-level strategies and simplifying complex analyses for executives.
• Strong leadership, communication, and stakeholder management skills.
• Possessed by a strong desire to learn and share findings with the team, fostering an environment where continuous learning thrives
• Demonstrated propensity for problem-solving.
• Exceptional collaborator, selfless and team player.
Preferred:
• Financial services /Wealth Management Industry Strongly preferred
Company:
LPL Financial provides investment solutions and tools for independent financial advisors. Founded in 1968, the company is headquartered in Boston, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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