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Chatbot Developer Salary Jobs (NOW HIRING)

... chatbot development, NLP/text mining, search & recommendation systems, prompt engineering/LLM ... Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance ...

... chatbot development, NLP/text mining, search & recommendation systems, prompt engineering/LLM ... Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance ...

... chatbot development, NLP/text mining, search & recommendation systems, prompt engineering/LLM ... Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance ...

Lead Web Developer

Reston, VA ยท On-site

$125K/yr

Experience with search technologies, AI/chatbot integration, Google Analytics/DAP, Tableau ... Salary $125K RIVA Benefits * Paid Time Off / Sick Leave * Health, Dental, and Vision Coverage

Experience with search technologies, AI/chatbot integration, Google Analytics/DAP, Tableau ... Salary $125K RIVA Benefits * Paid Time Off / Sick Leave * Health, Dental, and Vision Coverage

Lead Web Developer

Reston, VA ยท On-site +1

$125K/yr

Experience with search technologies, AI/chatbot integration, Google Analytics/DAP, Tableau ... Salary $125K RIVA Benefits * Paid Time Off / Sick Leave * Health, Dental, and Vision Coverage

Develop and deploy an internal AI chatbot that allows employees to query company knowledge and test ... Highly competitive salary and benefits package, including 401(k) plan. We may use artificial ...

Lead Web Developer

Reston, VA ยท On-site +1

$125K/yr

Experience with search technologies, AI/chatbot integration, Google Analytics/DAP, Tableau ... Salary $125K RIVA Benefits * Paid Time Off / Sick Leave * Health, Dental, and Vision Coverage

Develop and deploy an internal AI chatbot that allows employees to query company knowledge and test ... Highly competitive salary and benefits package, including 401(k) plan. We may use artificial ...

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Chatbot Developer Salary information

What is the average salary of a chatbot developer?

The average salary of a chatbot developer varies depending on factors such as location, experience, and company size. In the United States, chatbot developers typically earn between $80,000 and $120,000 per year, with experienced professionals or those in high-demand areas earning even more. Entry-level positions may start around $60,000, while senior roles or those with specialized skills can command higher salaries. Salaries may also be influenced by the specific technologies and platforms a developer is familiar with, such as natural language processing (NLP) and AI frameworks.

How much do chatbot developers make?

Chatbot developers typically earn between $70,000 and $120,000 annually, depending on experience, location, and skill level. Entry-level positions may start lower, while experienced developers with expertise in AI, natural language processing, and programming languages like Python or JavaScript can earn higher salaries.

Is chatbot developer a good career?

A chatbot developer is a viable career choice with growing demand as businesses increasingly adopt conversational AI. The role typically requires skills in programming, natural language processing, and familiarity with AI tools, offering opportunities for advancement and specialization.

What is the difference between Chatbot Developer Salary vs AI Developer?

AspectChatbot DeveloperAI Developer
Average Salary$85,000$110,000
Required SkillsNatural Language Processing, chatbot platforms, programmingMachine Learning, Deep Learning, programming
Work EnvironmentTech companies, customer service, e-commerceResearch labs, tech firms, startups
CertificationsAI certifications, programming coursesAI and ML certifications, advanced degrees

While both roles involve AI and programming skills, AI Developers typically have a broader focus on machine learning and deep learning, leading to higher average salaries. Chatbot Developers specialize in creating conversational interfaces, often with a more specific skill set and industry applications.

What are common challenges faced by Chatbot Developers in maintaining and improving deployed bots?

Chatbot Developers often encounter challenges such as ensuring the chatbot understands a wide variety of user intents, handling ambiguous or unexpected input gracefully, and keeping responses accurate as user needs evolve. They must continuously monitor bot performance, update natural language processing models, and address integration issues with other systems or data sources. Regularly reviewing user feedback and analytics is essential to identify areas for improvement and maintain a high-quality user experience.

How to become a chatbot developer?

To become a chatbot developer, gain programming skills in languages like Python or JavaScript, learn natural language processing (NLP) tools such as Dialogflow or Rasa, and understand API integration. Building a portfolio of chatbot projects and obtaining relevant certifications can also improve job prospects.

Which AI job is high paying?

AI roles such as Machine Learning Engineer, Data Scientist, and AI Research Scientist tend to be among the highest paying jobs in the field. These positions typically require strong programming skills, knowledge of algorithms, and experience with tools like Python, TensorFlow, or PyTorch, and often offer high salaries due to their specialized expertise and demand.

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

To thrive as a Chatbot Developer, you need strong programming skills (such as Python or JavaScript), understanding of natural language processing (NLP), and experience with software development, often backed by a degree in computer science or a related field. Familiarity with chatbot frameworks (like Dialogflow, Microsoft Bot Framework, or Rasa), APIs, and cloud platforms is typically required, and certifications in AI or cloud services can be advantageous. Problem-solving, creativity, and effective communication are essential soft skills for designing engaging conversational experiences and collaborating with cross-functional teams. These skills are critical for building robust, user-friendly chatbot solutions that meet business needs and enhance user engagement.
More about Chatbot Developer Salary jobs
What cities are hiring for Chatbot Developer Salary jobs? Cities with the most Chatbot Developer Salary job openings:
What states have the most Chatbot Developer Salary jobs? States with the most job openings for Chatbot Developer Salary jobs include:
Infographic showing various Chatbot Developer Salary job openings in the United States as of June 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution.
Director, Data Science

Director, Data Science

Gartner

Arlington, VA โ€ข Remote

Full-time

Medical, Retirement, PTO

Posted 22 days ago


Job description

About the Role
This is a senior leadership role on the Global Product Management Data Science team managing the Client Experience Digital Platform - the central hub where clients interact with Gartner to unlock value. Our clients are IT and business leaders worldwide, relying on the platform embedded in their workflows for critical priorities. Our mission is to accelerate innovation through intelligent digital products that disrupt the market and ourselves - constantly seeking data science leaders to champion this vision.

The Director, Data Science will lead efforts across personalization, recommendation systems, and GenAI chatbot tools, delivering scalable intelligence that drives hyper-personalized experiences and business outcomes.

What You Will Do

  • Lead the data science roadmap spanning personalization, recommendation systems, and GenAI chatbot development, owning strategy for user profiling, content matching, ranking, conversational AI, and next-best-action systems.
  • Architect AI-powered chatbot systems including intelligent search, recommendation engines, context-aware retrieval, and Model Context Protocol (MCP) servers for seamless AI agent integration with enterprise systems and external tools.
  • Apply transformer-based models, LLMs, and advanced techniques to enhance recommendation relevance, search optimization, user personalization, and scalable GenAI solutions.
  • Leverage internal and external data to model client company priorities, competitive landscapes, engagement signals, and deliver targeted support.
  • Collaborate with engineering, product, UX, and business leaders to prioritize ideas, launch MVPs, iterate rapidly, and deliver measurable business value.
  • Lead a team of data scientists, driving enhancements in accuracy, coverage, latency, scalability, stability, and adoption while maintaining strong MLOps practices.
  • Translate quantitative analysis into actionable strategies, pitch high-impact ideas, and influence senior leadership on long-term vision and solution roadmaps.
  • Stay current on fast-moving AI/ML advancements, particularly LLMs, conversational AI, agentic systems, and transformer architectures.

What You Will Need

  • 8-12 years of experience in data science, machine learning, or AI, with at least 3 years managing data science and engineering teams.
  • Master's Degree or PhD in a quantitative field (math, computer science, engineering, etc.) required.
  • Proven leadership developing personalization systems, recommendation engines, search/ranking solutions, conversational AI, chatbots, and GenAI applications powered by transformer-based models and LLMs.
  • Demonstrated success translating business priorities into technical roadmaps, driving cross-functional execution, and delivering production ML systems with clear business impact.
  • Strong communication skills to influence executives, translating complex analysis into compelling strategies and value propositions.
  • Deep expertise in ML lifecycle, Lean product principles, MLOps, experimentation frameworks, and production recommender/GenAI systems.
  • Proficiency with Python, ML frameworks (scikit-learn, NLTK, PyTorch, TensorFlow, Hugging Face, LangChain), SQL/relational databases (Oracle), NoSQL/graph databases (MongoDB), vector databases (Pinecone, Weaviate), distributed ML (Spark), Linux/shell scripting, and cloud platforms (AWS SageMaker, Azure ML).
  • Working experience in: Large Language Models/Generative AI, conversational AI/chatbot development, NLP/text mining, search & recommendation systems, prompt engineering/LLM optimization, AI agent architectures.
  • Collaborative leader who thrives in feedback-driven cultures with bias for action and client outcomes.

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 122,000 USD - 168,000 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:108588

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