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Generative Ai Chatbot Jobs (NOW HIRING)

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

Senior AI/ML Engineer

Herndon, VA · On-site

$107K - $147K/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

This position will play a central role in shaping Prolaio's approach to generative AI, intelligent search, conversational interfaces, chatbot experiences, agentic AI-driven task automation, and AI ...

From generative AI and cloud-native technologies to peer-led learning and hackathons, our tech ... Own and continuously improve the overall chatbot/IVR design and user experience, using a variety of ...

This position will play a central role in shaping Prolaio's approach to generative AI, intelligent search, conversational interfaces, chatbot experiences, agentic AI-driven task automation, and AI ...

Senior AI/ML Engineer

Herndon, VA · On-site

$107K - $147K/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 ...

From generative AI and cloud-native technologies to peer-led learning and hackathons, our tech ... Experience in AI, chatbot/IVR strategy, conversation design, and optimization * Knowledge of ...

Senior AI/ML Engineer

Herndon, VA · On-site +1

$107K - $147K/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

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/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.

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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 Jun 27, 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 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 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 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 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.
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:
What job categories do people searching Generative Ai Chatbot jobs look for? The top searched job categories for Generative Ai Chatbot jobs are:
Sr. Data Scientist

Full-time

Medical, Retirement, PTO

Posted 9 days ago


Job description

About the role:

Join our fast-growing Global Product Management Data Science team and help transform Gartner's Client Experience Digital Platform-the essential destination for IT and business leaders worldwide. As a data scientist, you'll leverage advanced analytics and machine learning to create intelligent, scalable solutions that deliver real value and enhance every step of our clients' journey.

In this role, you will lead complex data science projects in partnership with cross-functional teams, driving the development of advanced AI-powered chatbot systems that deliver intelligent, personalized experiences at scale. You'll architect and implement cutting-edge conversational AI tools-including intelligent search, recommendation engines, and context-aware content systems-while ensuring seamless integration with enterprise platforms.

What you will do
  • Lead data science projects in close collaboration with Data Engineering, Application development, Product owners and business leaders to deliver high-value business capabilities
  • Architect and build sophisticated AI-powered chatbot systems that provide intelligent, personalized client experiences at scale
  • Design and implement advanced tools that power conversational AI capabilities, including intelligent search, recommendation engines, and context-aware content retrieval systems
  • Design and implement Model Context Protocol (MCP) servers to enable seamless integration between AI agents, enterprise systems, and external tools
  • Build user profiling and personalization models to deliver tailored chatbot experiences
  • Be accountable for high-quality data science solutions with respect to accuracy, coverage, scalability, stability, and business adoption
  • Take ownership of algorithms and drive enhancements/optimizations based on business requirements with proper documentation and code-reusability
  • Leverage internal and external data to understand client's company-level priorities and deliver targeted support
  • Collaborate with senior leadership on long-term vision, strategy, and solution roadmaps aligned with business objectives
  • Pitch ideas, present solutions, and influence senior leaders and executive stakeholders with strong business value propositions
  • Stay on top of fast-moving AI/ML models and technologies, particularly in LLMs, conversational AI, and agentic systems
  • Collaborate with engineering and product teams to launch MVPs and iterate quickly
  • Independently plan and drive complex data science projects that deliver measurable business value
  • Mentor junior data scientists on chatbot development, LLM applications, and best practices
What you will need
  • 6-8 years hands-on experience building conversational AI systems, chatbots, LLM applications, or other advanced machine learning/artificial intelligence solutions to drive business impact
  • Master's Degree or PhD in a quantitative field (math, computer science, engineering, etc.) required
  • Strong communication skills in technical and business domains with demonstrated ability to translate quantitative analysis into actionable business strategies and influence executive leadership
  • Working experience in some of the following data science areas:
    • Large Language Models (LLMs) and Generative AI
    • Conversational AI, chatbot development, and dialogue systems
    • Natural Language Processing and text mining
    • Search and Recommendation systems
    • Prompt engineering, LLM fine-tuning, and model optimization
    • AI agent architectures and orchestration
  • Strong familiarity with Model Context Protocol (MCP) and building tools for AI agents
  • Deep understanding of Lean product principles, software development lifecycle, and machine learning life cycle
  • Practical, intuitive problem solver with proven ability to translate business objectives into actionable data science tasks and implement state-of-the-art ML research into production systems
  • Experience and proficiency with Python, machine learning tools (e.g., scikit-learn, spacy, nltk), deep learning frameworks (e.g., pytorch, tensorflow, huggingface), LLM frameworks (e.g., LangChain, LlamaIndex), SQL/relational databases (e.g., Oracle), NoSQL databases (e.g., MongoDB, graph database), vector databases (e.g., Pinecone, Weaviate), distributed machine learning (spark), Linux and shell scripting
  • Experience with cloud computing services such as AWS or Azure ML
  • Strong ability to work collaboratively across product, data science and technical stakeholders with experience mentoring data scientists
  • Ability to work in a culture that thrives on feedback and seeks opportunities to stretch outside comfort zone
  • Bias for action and client outcome oriented
What you will get
  • Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance, Parental Leave, Employee Assistance Program (EAP) and more!
  • Collaborative, team-oriented culture that embraces diversity
  • Professional development and unlimited growth opportunities

#LI-CW4

Who are we?

At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world.

Our mission relies on expert analysis and bold ideas to deliver actionable, objective business and technology insights, helping enterprise leaders and their teams succeed with their mission-critical priorities.

Since our founding in 1979, we've grown to 20,000 associates globally who support over 13,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That's why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here.

What makes Gartner a great place to work?

Our vast, virtually untapped market potential offers limitless opportunities - opportunities that may not even exist right now - for you to grow professionally and flourish personally. How far you go is driven by your passion and performance.

We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients.

Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations.

We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work.

Gartner is the world authority on AI

At Gartner, you'll join a company at the very center of the AI revolution. Gartner has proactive, objective guidance throughout clients' AI journeys. We set the standard for how organizations leverage artificial intelligence to drive meaningful impact. You'll have access to unmatched resources, expertise, and technology, and play a key role in helping Gartner and our clients innovate and grow as we leverage AI to transform business and technology landscapes.

It's an exciting time to be at Gartner, with limitless opportunities to make a real impact, grow your skills, and build a lasting, meaningful career in a field that's reshaping the way we operate. If you're passionate about AI and want to be part of a team that's guiding the leaders who shape the world, Gartner is the place for you.

What do we offer?

Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers.

In our hybrid work environment, we provide the flexibility and support for you to thrive - working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring.

Ready to grow your career with Gartner? Join us.

Gartner believes in fair and equitable pay. A reasonable estimate of the base salary range for this role is 113,000 USD - 147,000 USD. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. In addition to base salary, employees will participate in either an annual bonus plan based on company and individual performance, or a role-based, uncapped sales incentive plan. Our talent acquisition team will provide the specific opportunity on our bonus or incentive programs to eligible candidates. We also offer market leading benefit programs including generous PTO, a 401k match up to $7,200 per year, the opportunity to purchase company stock at a discount, and more.


The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity.

Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company's career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email toApplicantAccommodations@gartner.com.

Job Requisition ID:106861

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