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Conversational Ai Engineer Jobs in Colorado (NOW HIRING)

Checkr

AI Conversation Designer

Denver, CO · On-site

... conversational AI agents across modalities, ensuring consistent performance and user experience. * Own the end-to-end lifecycle of assigned AI agents, including prompt engineering, conversation ...

KPMG US

Senior Associate, AI Engineer

Denver, CO · On-site

$56.75 - $73.25/hr

... test AI models, conversational agents, and workflow automation components under the guidance of ... engineering, or cloud technologies • Bachelor's degree from an accredited college or university ...

KPMG

Manager, AI Engineer

Denver, CO

KPMG is currently seeking a Manager, AI Engineer to join our Advisory Services practice ... Experience in building conversational AI/chatbots, generative AI use cases, or AI-powered ...

Checkr

AI Conversation Designer

Denver, CO · On-site

$90K - $112K/yr

... conversational AI agents across modalities, ensuring consistent performance and user experience. * Own the end-to-end lifecycle of assigned AI agents, including prompt engineering, conversation ...

GEI Consultants

AI Engineer

Denver, CO

$110K - $150K/yr

The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained ... Connecting Conversation Program with a Focus on Professional Development and Opportunities for ...

GEI Consultants

AI Engineer

Denver, CO · On-site

The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained ... Connecting Conversation Program with a Focus on Professional Development and Opportunities for ...

Pwc

Conversational AI and Agentic AI - Manager

Denver, CO · On-site

$99K - $232K/yr

... a Conversational AI and Agentic AI - Manager, you will lead the charge in developing innovative ... engineering projects - Utilizing AngularJS frameworks to create dynamic and responsive user ...

Pwc

US Tech - AI Engineering Manager

Denver, CO · On-site

$73K - $244K/yr

As a Manager you will combine engineering knowledge with people leadership to deliver resilient platforms that integrate cloud infrastructure, conversational AI, data, and enterprise systems. This ...

Fivetran

Senior Software Engineer - Metadata

Denver, CO · On-site

$126K - $166K/yr

... Claude Code, and conversational AI - to accelerate development and to author and review SDLC ... Familiarity with the analytics engineering workflow and the dbt ecosystem The compensation range ...

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All JobsConversational Ai Engineer JobsConversational Ai Engineer Jobs in Colorado

Conversational Ai Engineer information

See Colorado salary details

$28.2K

$116.5K

$209.4K

How much do conversational ai engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for conversational ai engineer in Colorado is $116,521.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,015.00 and $144,024.00 per year, depending on experience, location, and employer.

What is a conversational AI engineer?

A Conversational AI Engineer is a technology professional who designs, develops, and maintains systems that enable computers to interact with humans using natural language. They work on building chatbots, virtual assistants, and voice-enabled applications by leveraging natural language processing (NLP), machine learning, and AI frameworks. Their responsibilities include training language models, optimizing conversation flows, integrating with APIs, and ensuring the overall performance and accuracy of conversational systems. These engineers collaborate with data scientists, UX designers, and software developers to create seamless and intuitive AI-driven user experiences.

What are the key skills and qualifications needed to thrive as a conversational AI engineer?

To thrive as a Conversational AI Engineer, you need strong programming skills (such as Python), a background in natural language processing (NLP), and a degree in computer science or a related field. Familiarity with machine learning frameworks, chatbot platforms, and cloud services like AWS or Google Cloud is typically required, along with experience in tools such as TensorFlow or Rasa. Excellent problem-solving abilities, creativity, and clear communication help engineers design effective, user-friendly conversational systems. These skills ensure the development of robust, scalable, and intuitive AI solutions that meet user needs and business goals.

What are some common challenges conversational AI engineers face when deploying chatbots in production environments?

Conversational AI Engineers often encounter challenges such as ensuring chatbot robustness in handling diverse user inputs and maintaining natural, contextually relevant conversations. Managing scalability and latency is also crucial, as chatbots must perform efficiently under varying loads. Additionally, integrating with legacy systems and safeguarding user data privacy require careful coordination with DevOps and security teams. Continuous model monitoring and updating are essential to keep responses accurate and aligned with user expectations.

What is the difference between Conversational Ai Engineer vs Chatbot Developer?

AspectConversational Ai EngineerChatbot Developer
Required CredentialsBachelor's in CS, AI, or related field; experience with NLP and machine learningTypically programming skills; may have similar technical background
Work EnvironmentCollaborates on AI models, NLP, and user experience designFocuses on building and deploying chatbot interfaces
Employer & Industry UsageTech companies, AI startups, large enterprises integrating conversational AICustomer service, marketing, and sales sectors
Search & Comparison IntentUnderstanding roles in AI development, advanced conversational systemsBuilding specific chatbot applications

While both roles involve creating conversational interfaces, a Conversational Ai Engineer focuses on developing advanced AI models and NLP systems, whereas a Chatbot Developer primarily builds and deploys chatbot applications. The engineer's role is broader, often involving AI research and integration, while the developer concentrates on implementation and user interaction design.

What are popular job titles related to Conversational Ai Engineer jobs in Colorado?

For Conversational Ai Engineer jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Conversational Ai Engineer jobs in Colorado look for?

The top searched job categories for Conversational Ai Engineer jobs in Colorado are:

What cities in Colorado are hiring for Conversational Ai Engineer jobs?

Cities in Colorado with the most Conversational Ai Engineer job openings:

Conversational Ai Engineer jobs near you
Infographic showing various Conversational Ai Engineer job openings in Colorado as of August 2026, with employment types broken down into 44% Full Time, and 56% Contract. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $116,521 per year, or $56 per hour.

AI Conversation Designer

Checkr

Denver, CO • On-site

Full-time

Re-posted 11 hours ago

Job description

About the team/role

We are seeking a skilled and detail-oriented AI Conversation Designer to join our Service Design team. This role is central to managing and optimizing our conversational AI agents across multiple modalities, directly impacting customer experience and operational efficiency. The ideal candidate will have hands-on experience with conversational AI platforms, a strong understanding of conversation design principles, and the ability to analyze performance data to drive continuous improvement. This role requires someone who is curious, adaptable, and passionate about leveraging AI to deliver seamless, human-centered support experiences.

What you'll do

  • Lead the development, optimization, and ongoing management of conversational AI agents across modalities, ensuring consistent performance and user experience.
  • Own the end-to-end lifecycle of assigned AI agents, including prompt engineering, conversation design, testing, and deployment.
  • Drive measurable improvements in agent performance through analysis of key performance indicators and conversation analytics.
  • Partner with cross-functional teams to identify automation opportunities and implement solutions that reduce contact volume while maintaining service quality.
  • Develop and maintain comprehensive documentation for AI agent workflows and processes.
  • Monitor and troubleshoot AI agent behavior, diagnosing issues across conversation flows and escalating technical issues as needed.
  • Implement and iterate on dynamic response content, including conditional logic, personalization, and multimedia elements within conversational interfaces.
  • Lead special projects as required to support evolving AI capabilities and business needs.

What you bring

  • 3-5 years of experience in conversational AI, knowledge management, chatbot administration, or similar roles managing customer-facing digital channels.
  • Hands-on experience with conversational AI platforms and understanding of NLU/NLP concepts.
  • Proficiency in conversation design principles, including intent mapping, utterance training, and fallback strategies.
  • Strong analytical skills with the ability to interpret conversation logs, performance dashboards, and customer feedback to drive optimization.
  • Excellent written communication skills and ability to craft clear, concise bot responses for diverse audiences.
  • Proven ability to collaborate cross-functionally and translate business requirements into actionable solutions.
  • Comfort navigating ambiguity and managing multiple priorities in a fast-paced environment.
  • An A-player mindset with a strong bias for action: you raise the bar, move with urgency, stay resilient through ambiguity, and take ownership to deliver meaningful outcomes.

Apply