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Chatbot Jobs in Delaware (NOW HIRING)

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How much do chatbot jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for chatbot in Delaware is $55.82, according to ZipRecruiter salary data. Most workers in this role earn between $46.68 and $63.51 per hour, depending on experience, location, and employer.

What is a chatbot?

A Chatbot job involves designing, developing, and maintaining AI-powered conversational agents that interact with users through text or voice. Professionals in this field work on training models, writing dialogue scripts, and improving chatbot performance using machine learning and natural language processing (NLP). They may collaborate with developers, UX designers, and data scientists to enhance user experience and ensure accurate, helpful responses.

What are the key skills and qualifications needed to thrive in the chatbot position, and why are they important?

To thrive as a Chatbot Developer, you need strong programming skills (often in languages like Python or JavaScript) and an understanding of natural language processing (NLP) concepts. Familiarity with chatbot frameworks (such as Dialogflow, Microsoft Bot Framework, or Rasa), API integration, and cloud platforms is highly beneficial. Excellent problem-solving skills, creativity, and the ability to clearly communicate with stakeholders are important soft skills in this role. These abilities are crucial to designing intuitive, effective chatbot solutions that enhance user experiences and meet business objectives.

What are some typical challenges faced when designing and maintaining a chatbot?

Professionals in chatbot development often encounter challenges such as accurately interpreting diverse user inputs, handling unexpected queries, and ensuring the chatbot can scale to accommodate high traffic. Maintaining a balance between automation and the need to escalate complex issues to human agents is also important. Additionally, staying updated with rapidly evolving NLP technologies and user experience best practices is essential. You'll likely collaborate with product managers, UX designers, and customer support teams to continuously improve the chatbot's effectiveness. Overcoming these challenges can be highly rewarding, leading to a more engaging and valuable tool for users.

How do I become a chatbot?

To become a chatbot developer, you should learn programming languages such as Python or JavaScript, understand natural language processing (NLP) tools, and gain experience with chatbot platforms like Dialogflow or Microsoft Bot Framework. Building skills in AI, machine learning, and conversational design is also beneficial for creating effective chatbots.

What are the most commonly searched types of Chatbot jobs in Delaware?

The most popular types of Chatbot jobs in Delaware are:

What are popular job titles related to Chatbot jobs in Delaware?

For Chatbot jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Chatbot jobs in Delaware look for?

The top searched job categories for Chatbot jobs in Delaware are:

Infographic showing various Chatbot job openings in Delaware as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $116,103 per year, or $55.8 per hour.

Applied AI/ML - Vice President

JP Morgan Chase

Wilmington, DE • On-site

Full-time

Medical, Retirement

Re-posted 4 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 495 frontline employees who took The Breakroom Quiz

71st of 171 rated banks


Job description

This is a unique opportunity to apply your skills and leadership in a dynamic environment, directly impacting the future of Home Lending through innovative AI/ML solutions. You will be at the forefront of technology, shaping the next generation of intelligent products and services at JPMorgan Chase.

As Applied AI ML Lead at Consumer & Community Banking Tech, you will drive ML and GenAI projects, leveraging expertise to deliver innovative solutions.

Job responsibilities 

  • Work with product managers, data scientists, ML engineers, and other stakeholders to understand requirements. 
  • Design, develop, and deploy state-of-the-art AI/ML/GenAI solutions to meet business objectives. 
  • Architect and implement robust, cloud-native MLOps/LLMOps pipelines and distributed AI/ML infrastructure (AWS, Azure, GCP) for scalable, efficient deployment and monitoring of models in production.
  • Direct the development and deployment of advanced generative AI solutions (LLMs, RAG, NLP, AI Agents) and classical ML models, integrating state-of-the-art techniques into the ML platform to create innovative fintech products.
  • Develop advanced monitoring and management tools to ensure high reliability and scalability of AI/ML systems.
  • Develop and maintain automated pipelines for model deployment, ensuring scalability, reliability, and efficiency. 
  • Implement monitoring mechanisms to track model performance in real-time and ensure model reliability. 
  • Communicate AI/ML capabilities and results to both technical and non-technical audiences. 
  • Build AI Agents and chatbot
  • Stay informed about the latest trends and advancements in the latest AI/ML research, implement cutting-edge techniques, and leverage external APIs for enhanced functionality. 

Required qualifications, capabilities, and skills 

  • Bachelor's degree or MS or PhD in quantitative discipline, e.g. Computer Science, Mathematics, Operations Research, Data Science. 
  • 5+ years of experience in Machine Learning and Artificial Intelligence engineering.
  • Experience in applied AI/ML engineering, with a track record of developing and deploying business critical machine learning models in production. 
  • Proficiency in programming languages like Python for model development, experimentation, and integration with OpenAI API. 
  • Extensive hands-on technical experience with machine learning frameworks, libraries, and APIs, such as TensorFlow, PyTorch, Scikit-learn, AWS Bedrock, Transformers, LangChain/LngGraph. 
  • Experience with cloud computing platforms (e.g., AWS, Azure, or Google Cloud Platform), containerization technologies (e.g., Docker and Kubernetes), orchestration tools (Airflow, FastAPI, etc.) and architectural design, implementation, and performance optimization. 
  • Solid understanding of fundamentals of statistics, machine learning (e.g., classification, regression, deep learning, reinforcement learning), and generative model architectures. 
  • Expert in Large Language models (OpenAI, Anthropic, Mistral, etc) including fine-tuning models, prompt engineering, embeddings and context window.
  • Strong collaboration skills to work effectively with cross-functional teams, communicate complex concepts, and contribute to interdisciplinary projects. 

Preferred qualifications, capabilities, and skills 

  • Familiarity with the financial services industries. 
  • Expertise in designing and implementing pipelines using Retrieval-Augmented Generation (RAG). 
  • Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies. 
  • Familiarity with ethical AI, including bias mitigation, explainability and escalation protocols for risky outputs.
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

Our Consumer & Community Banking Group depends on innovators like you to serve consumers, small businesses, municipalities and non-profits.  You'll support the delivery of award winning tools and services that cover everything from personal and small business banking as well as lending, mortgages, credit cards, payments, auto finance and investment advice. This group is also focused on developing and delivering cutting edged mobile applications, digital experiences and next generation banking technology solutions to better serve our clients and customers.

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