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Agentic Jobs in Colorado (NOW HIRING)

Agentic AI Platform Engineer Location: Denver, CO - Hybrid (2-3 days onsite per week) Duration: 6-12 Month Contract\-to\-Hire Work Authorization: US Citizen or Green Card Holder Position Overview ...

The Wiz Agentic Engineer

Denver, CO · On-site

$81K - $108K/yr

Role: The Wiz Agentic Engineer Location: Hybrid - Denver, CO, Atlanta, GA, or Dallas, TX Contract role What are the top 3 skills required for this role? 1. setup, configuration, and ongoing ...

Agentic AI Software Engineer Job Category: Engineering Time Type: Full time Minimum Clearance Required to Start: TS/SCI with Polygraph Employee Type: Regular Percentage of Travel Required: Up to 10% ...

New

The Wiz Agentic Engineer - Only W2

Denver, CO · On-site

$81K - $108K/yr

The Wiz Agentic Engineer Location/s: Denver, CO / Atlanta, GA / Dallas, TX (Hybrid) Job Type: Contract (W2) GCP Yes 1 Azure Yes 1 AWS Yes 1 What are the top 3 skills required for this role? 1. setup ...

AI Agentic Tester Must have- Experience testing Generative AI, LLM, or AI-based applications. Keyword: Skills: Modern Functional Quality Engineering Experience Required: 2-4 Years PFB the ...

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Agentic information

What is the difference between Agentic vs Customer Service Representative?

AspectAgenticCustomer Service Representative
Required CredentialsTypically no formal credentials required, but strong communication skills preferredHigh school diploma or equivalent; sometimes additional training or certifications
Work EnvironmentCall centers, online platforms, or in-person settingsCall centers, retail stores, or corporate offices
Industry UsageCustomer support, sales, technical assistanceCustomer support, sales, client relations
Common Search/ComparisonAgentic vs Customer Service Representative

Agentic roles focus on proactive customer engagement and problem-solving, often requiring strong communication skills. Customer Service Representatives handle customer inquiries and support, usually with similar communication requirements but may involve more routine tasks. Both roles are vital in customer-facing industries, but Agentic positions often emphasize initiative and problem resolution.

What are popular job titles related to Agentic jobs in Colorado?

For Agentic jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Agentic jobs in Colorado look for?

The top searched job categories for Agentic jobs in Colorado are:

What cities in Colorado are hiring for Agentic jobs?

Cities in Colorado with the most Agentic job openings:

Infographic showing various Agentic job openings in Colorado as of August 2026, with employment types broken down into 94% Full Time, 3% Part Time, 1% Temporary, and 2% Contract. Highlights an 76% Physical, 6% Hybrid, and 18% Remote job distribution.

Agentic AI Platform Engineer

Denver, CO • Hybrid

Contractor

Posted 13 days ago


Job description

\n <\/head>\n \n

Role: <\/span><\/b>Agentic AI Platform Engineer
Location: <\/b>Denver, CO - Hybrid (2-3 days onsite per week)
Duration: <\/b>6-12 Month Contract\-to\-Hire
Work Authorization: US Citizen or Green Card Holder<\/b><\/span><\/p>

 <\/span><\/b>
<\/p>

Position Overview<\/span><\/b>
<\/p>

Client is seeking a hands\-on Agentic AI Platform Engineer to help transform AI proofs of concept into secure, governed, scalable, and production\-ready enterprise capabilities.<\/span>
<\/p>

This is an engineering\-focused role for someone who can move beyond AI strategy and experimentation and actually build, integrate, test, secure, monitor, and operate AI\-powered applications and agentic platforms.<\/span>
<\/p>

The ideal candidate will have a strong full\-stack software engineering background, hands\-on experience building AI\/agentic applications, and practical knowledge of Microsoft Copilot Studio, Power Platform, APIs, cloud development, identity\/security, telemetry, automated testing, and AI tool orchestration.<\/span>
<\/p>

This engineer will work closely with platform and architecture leadership to implement technical controls and reusable capabilities that enable AI agents to operate safely and reliably within a global enterprise environment.<\/span>
<\/p>

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<\/p>

Required Skills:<\/span><\/u><\/b>
<\/p>\n

    \n
  • Hands\-on Agentic AI \/ AI application engineering<\/span>
    <\/li>\n
  • Full\-stack software development background<\/span>
    <\/li>\n
  • Microsoft Copilot Studio<\/span>
    <\/li>\n
  • Low\-code \/ Power Platform<\/span>
    <\/li>\n
  • APIs, integrations and connectors<\/span>
    <\/li>\n
  • AI agents\/tool orchestration<\/span>
    <\/li>\n
  • Identity\/security around AI agents<\/span>
    <\/li>\n
  • Telemetry\/observability<\/span>
    <\/li>\n
  • Automated testing\/evaluation of AI output<\/span>
    <\/li>\n
  • Cloud development<\/span>
    <\/li>\n
  • Productionizing AI POCs<\/span>
    <\/li>\n
  • SAP and ServiceNow AI\/agent exposure as a plus<\/span>
    <\/li>\n <\/ul>

     <\/span><\/b>
    <\/p>

    Key Responsibilities<\/span><\/u><\/b>
    <\/p>\n

      \n
    • Design, develop, and productionize AI applications, AI agents, and agentic workflows.<\/span>
      <\/li>\n
    • Transform AI proofs of concept into secure, scalable, reliable, and maintainable production solutions.<\/span>
      <\/li>\n
    • Build reusable components and platform capabilities for enterprise AI and agentic applications.<\/span>
      <\/li>\n
    • Develop integrations using REST APIs, SDKs, connectors, webhooks, and enterprise services.<\/span>
      <\/li>\n
    • Implement AI agent tool orchestration, tool access controls, and integration patterns.<\/span>
      <\/li>\n
    • Develop and implement sandboxing and isolation mechanisms for AI agents and applications.<\/span>
      <\/li>\n
    • Implement secure identity, authentication, authorization, and access\-control patterns for AI workloads and agents.<\/span>
      <\/li>\n
    • Build telemetry, logging, monitoring, tracing, and observability capabilities for AI applications and agents.<\/span>
      <\/li>\n
    • Develop automated testing and evaluation frameworks to assess AI output quality, reliability, safety, and performance.<\/span>
      <\/li>\n
    • Implement state management, recovery, error handling, and resilience patterns for agentic workflows.<\/span>
      <\/li>\n
    • Build and maintain cloud\-based AI application components and supporting infrastructure.<\/span>
      <\/li>\n
    • Work with Microsoft Copilot Studio and Power Platform to build and integrate enterprise AI capabilities.<\/span>
      <\/li>\n
    • Develop low\-code and pro\-code solutions where appropriate, understanding how to integrate both approaches effectively.<\/span>
      <\/li>\n
    • Establish reusable implementation patterns for AI agents, tools, integrations, and platform services.<\/span>
      <\/li>\n
    • Collaborate with architecture, security, governance, data, and application teams to ensure solutions meet enterprise standards.<\/span>
      <\/li>\n
    • Troubleshoot and optimize AI applications across development, testing, and production environments.<\/span>
      <\/li>\n
    • Use command\-line tools, IDEs, source control, CI\/CD pipelines, and cloud development environments as part of day\-to\-day engineering activities.<\/span>
      <\/li>\n
    • Help establish engineering standards and technical controls that enable responsible and scalable adoption of enterprise AI.<\/span>
      <\/li>\n <\/ul>\n
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      \n <\/body>\n<\/html>