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Generative Ai Chatbot Jobs in Colorado (NOW HIRING)

Generative Ai Chatbot information

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.
What are popular job titles related to Generative Ai Chatbot jobs in Colorado? For Generative Ai Chatbot jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Generative Ai Chatbot jobs in Colorado look for? The top searched job categories for Generative Ai Chatbot jobs in Colorado are:
What cities in Colorado are hiring for Generative Ai Chatbot jobs? Cities in Colorado with the most Generative Ai Chatbot job openings:
Infographic showing various Generative Ai Chatbot job openings in Colorado as of July 2026, with employment types broken down into 68% Full Time, 23% Part Time, and 9% Contract. Highlights an 59% Physical, 3% Hybrid, and 38% Remote job distribution.

RPA(UiPath) Solution Architect

Tachyon Technologies

Denver, CO • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

Job Summary:

We are seeking a highly skilled UiPath Solution Architect / Senior Automation Developer to lead the design, development, and delivery of enterprise automation solutions. This role requires strong hands-on experience in UiPath development combined with solution architecture expertise to design scalable, secure, and maintainable automation solutions.

The ideal candidate will provide technical leadership, mentor development teams, participate in architecture and design discussions, and work closely with business stakeholders to deliver high-quality automation solutions. This is a hands-on technical role where the individual will contribute to development while driving best practices, solution design, and overall delivery excellence.



Key Responsibilities

Solution Design & Architecture

  • Analyze business requirements and design scalable, reusable, and maintainable UiPath automation solutions.
  • Define solution architecture, technical approach, and development standards for automation initiatives.
  • Design reusable frameworks, components, and libraries to improve development efficiency.
  • Evaluate technical challenges and recommend optimal automation approaches.
  • Ensure solutions follow enterprise architecture, security, and coding standards.

Hands-on Development

  • Develop complex enterprise automation solutions using UiPath.
  • Build reusable workflows, libraries, and custom components.
  • Integrate UiPath solutions with APIs, databases, web services, and enterprise applications.
  • Troubleshoot complex production issues and provide technical resolutions.
  • Optimize automation performance, reliability, and maintainability.

Technical Leadership

  • Provide technical guidance and mentorship to UiPath developers.
  • Conduct design reviews and code reviews to ensure adherence to best practices.
  • Promote reusable design patterns and coding standards across the development team.
  • Support developers in resolving technical challenges and implementation issues.
  • Drive continuous improvement initiatives within the automation team.

Client & Stakeholder Engagement

  • Collaborate with business analysts, product owners, and business stakeholders to understand automation opportunities.
  • Translate business requirements into technical solutions.
  • Participate in solution discussions, estimation sessions, and technical workshops.
  • Communicate technical designs, risks, and implementation approaches to stakeholders.
  • Work closely with offshore teams to ensure successful project execution.

Project Delivery

  • Participate in end-to-end automation delivery from design through deployment and production support.
  • Ensure automation solutions meet quality, performance, and business expectations.
  • Assist with production deployments and post-production support.
  • Identify project risks and recommend mitigation strategies.
  • Contribute to project planning, effort estimation, and technical documentation.

Quality & Best Practices

  • Perform unit testing and support integration and user acceptance testing.
  • Ensure automation solutions are scalable, secure, and resilient.
  • Maintain technical documentation including Solution Design Documents (SDDs), Technical Design Documents (TDDs), deployment guides, and operational documentation.
  • Continuously evaluate new UiPath features and recommend adoption where appropriate.



Required Skills & Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
  • 8+ years of overall IT experience with at least 6 years of hands-on UiPath development experience.
  • Strong experience designing and developing enterprise-scale UiPath automation solutions.
  • Expert knowledge of UiPath Studio, Orchestrator, REFramework, Document Understanding, Integration Services, and Agentic Automation capabilities.
  • Strong experience developing reusable frameworks, libraries, and components.
  • Experience integrating UiPath with REST APIs, databases, web services, and enterprise applications.
  • Strong knowledge of exception handling, logging, queue-based processing, and transaction management.
  • Experience performing technical design reviews and code reviews.
  • Proficiency in SQL and .NET/VB.NET.
  • Working knowledge of Azure and/or AWS is preferred.
  • Strong troubleshooting, analytical, and problem-solving skills.
  • Excellent verbal and written communication skills.
  • Experience working with both onshore and offshore teams in Agile environments.
  • UiPath Advanced Developer or Solution Architect certification is preferred.

Preferred Qualifications

  • Experience implementing Intelligent Document Processing (IDP) and AI-powered automation solutions.
  • Good understanding of integrating AI technologies such as Large Language Models (LLMs), Generative AI services, OCR, or Machine Learning into automation solutions.
  • Experience leveraging AI to improve document processing, decision-making, chatbot integrations, or workflow automation.
  • Good knowledge of other RPA platforms such as Automation Anywhere, Microsoft Power Automate, or similar automation technologies.
  • Familiarity with CI/CD pipelines, source control, and DevOps practices.
  • Experience designing reusable enterprise automation frameworks and accelerators.
  • Strong understanding of automation governance, security, and development best practices.