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Chat Bot Developer Jobs in Orem, UT (NOW HIRING)

Chat Bot Developer information

See Orem, UT salary details

$13

$49

$67

How much do chat bot developer jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for chat bot developer in Orem, UT is $49.29, according to ZipRecruiter salary data. Most workers in this role earn between $42.64 and $55.19 per hour, depending on experience, location, and employer.

What is a chat bot developer?

A Chat Bot Developer is a software professional who designs, builds, and maintains conversational bots for messaging platforms, websites, or apps. Their work involves programming the bot to understand user input, process language, and provide meaningful responses or perform actions. Chat Bot Developers often use artificial intelligence, natural language processing, and various APIs to create bots that can automate tasks, assist customers, or enhance user engagement. They collaborate with designers, data scientists, and other developers to improve the bot's accuracy and usability over time.

What are the key skills and qualifications needed to thrive as a chat bot developer, and why are they important?

To thrive as a Chat Bot Developer, you need strong programming skills (typically in Python, JavaScript, or Java), a solid understanding of natural language processing (NLP), and experience with AI frameworks, often supported by a degree in computer science or a related field. Familiarity with platforms like Dialogflow, Microsoft Bot Framework, Rasa, and cloud services such as AWS or Azure, as well as relevant certifications, is highly valuable. Creative problem-solving, effective communication, and the ability to collaborate with cross-functional teams help developers create engaging and user-friendly conversational experiences. These skills and qualities are crucial for building intelligent, scalable, and effective chatbots that meet user and business needs.

What are some common challenges chat bot developers face when integrating chatbots with existing business systems?

Chat Bot Developers often encounter challenges when integrating chatbots with existing business systems such as CRMs, databases, or legacy platforms. These challenges can include handling data privacy and security, ensuring seamless data flow between systems, and managing differences in technology stacks or APIs. Successful integration usually requires strong problem-solving skills, familiarity with various integration tools, and close collaboration with IT or backend teams. Addressing these challenges effectively can lead to more robust, scalable, and user-friendly chatbot solutions.

What is the difference between Chat Bot Developer vs AI Developer?

AspectChat Bot DeveloperAI Developer
Required CredentialsBachelor's in CS, programming skills, chatbot platformsBachelor's/Master's in CS, machine learning, AI frameworks
Work EnvironmentTech companies, customer service, e-commerceResearch labs, tech firms, industries applying AI solutions
Employer & Industry UsageCustomer support, marketing, salesData analysis, automation, advanced AI systems
Search & Comparison IntentFocus on chatbot creation and deploymentBroader AI development and research

While both roles involve programming and AI concepts, a Chat Bot Developer specializes in creating conversational agents for customer interaction, whereas an AI Developer works on broader artificial intelligence applications, including machine learning and data analysis. The choice depends on whether you want to focus on chatbot-specific projects or broader AI solutions.

How much do chat bot developers make?

Chat bot developers typically earn between $70,000 and $120,000 annually, depending on experience, location, and skill level. Senior developers with expertise in AI, natural language processing, and programming languages like Python or JavaScript tend to earn higher salaries.

How to become a chat bot developer?

To become a chat bot developer, you should learn programming languages such as Python or JavaScript, understand natural language processing (NLP) concepts, and gain experience with chatbot development platforms like Dialogflow or Microsoft Bot Framework. Building a portfolio of chatbot projects and staying updated on AI and machine learning trends can also enhance your skills and employability.

Is chat bot developer a good career?

A chat bot developer designs and builds conversational AI systems, often requiring skills in programming, natural language processing, and machine learning. The field offers growth opportunities due to increasing demand for automation and customer service solutions, with roles available in tech companies, startups, and large organizations.

What are popular job titles related to Chat Bot Developer jobs in Orem, UT?

For Chat Bot Developer jobs in Orem, UT, the most frequently searched job titles are:

Business Analyst - Reporting & Analytics

ConsultNet Technology Services and Solutions

Draper, UT • On-site

$30 - $35/hr

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Job description


Business Analyst – Reporting & Analytics
Remote- Utah only
1 year contract
Pay Rate: $30.00 - $35.00per hr.
The Reporting and Analytics Business Analyst, as a key strategic partner within the Member Services Business Analytics team, is responsible for driving the architecture, strategy, and continuous evolution of our reporting ecosystem and analytics framework. Operating with high autonomy, this role proactively identifies operational inefficiencies, uncovers hidden business opportunities, and shapes self-directed initiatives that directly align with Ancestry's overarching business goals. The ideal candidate requires minimal direction and possesses advanced mastery of data analytics, predictive modeling, SQL, and modern visualization tools. They are deeply experienced in multi-site, omni-channel contact center operations and excel at translating complex data into strategic vision and actionable roadmap recommendations for executive stakeholders.
Inherent Characteristics

  • Strategic Vision & Customer Focus: Demonstrates expert-level competency in influencing senior leadership and cross-functional partners. Proactively advocates for the customer and agent experience to shape operational strategy.
  • Advanced Functional/Technical Expertise: Possesses exceptional quantitative, analytical, and data architectural aptitude. Recognized as a subject matter expert in querying, data modelling, and visualization best practices.
  • Proactive Initiative & Drive: Highly self-motivated; needs minimal supervision to turn vague business challenges into well-defined, value-generating analytics projects aligned with business objectives.
  • Complex Problem Solving: Demonstrates an innate ability to anticipate operational friction, define root causes, quantify financial and operational impacts, and prescribe high-impact corrective strategies.
  • Navigating Ambiguity: Thrives in a fast-paced, evolving environment by bringing order to chaos, establishing frameworks where none exist, and independently prioritizing high-value tasks.
  • Executive Communication: Masterfully articulates complex analytical stories and strategic recommendations to stakeholders at all levels, converting dense data into compelling visual and narrative insights.

Key Responsibilities

  • Strategic Analytics & Proactive Initiatives: Autonomously identify, design, and champion analytics initiatives that optimize short- and long-term omni-channel contact centre operations, financial performance, and service delivery and customer experience.
  • KPI Architecture & Dashboard Strategy: Own the end-to-end design, implementation, and governance of business-critical KPIs, predictive models, and executive-level dashboards across Tableau, SQL, and internal platforms.
  • End-to-End Project Leadership: Lead analytics and data infrastructure projects from initial concept through execution and rollout, coordinating across multi-departmental teams without explicit daily oversight.
  • Executive Advisory: Partner closely with operations and business leaders to communicate past performance drivers, future risk forecasts, and strategic trade-offs to consistently meet or exceed service level goals.
  • Advanced Data Exploration: Query and synthesize complex, multi-layered data from relational warehouses, cube databases, and raw data pipelines to answer unprompted, high-level business questions.
  • Process Optimization: Identify manual reporting bottlenecks across the team and engineer automated, scalable reporting infrastructure.

Required Skills

  • 4+ years of progressive experience in business analytics, operations analytics, or business intelligence roles, ideally within a multi-site, contact centre and customer experience environment (phone, e-mail, chat and AI bot, self-service).
  • Proven track record of operating independently, initiating high-value analytics projects, and influencing business decisions without direct authority.
  • Strong technical proficiency in SQL, Excel, and enterprise visualization/BI tools (Tableau, Power BI, PowerPivot). Familiarity with data warehouse architectures, SAS, and Zendesk analytics is highly preferred.
  • Deep understanding of workforce management (WFM) dynamics, capacity planning, and predictive forecasting models across complex multi-departmental environments.
  • Demonstrated experience leading end-to-end analytics initiatives and utilizing formal or informal project management methodologies.
  • Experience and strong knowledge in Generative Artificial Intelligence and Large Language Models.
  • Bachelor's or Master's degree in Business, Analytics, Computer Science, Statistics, Economics, a plus, or an equivalent combination of education and deep industry experience.