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Agentic Ai Jobs in Colorado (NOW HIRING)

3coresystems

Agentic AI Platform Engineer

Denver, CO · Hybrid

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 ...

EchoStar

Senior Agentic AI Engineer

Englewood, CO

$116K - $158K/yr

The Sr. Agentic AI Engineer role exists to lead technical onboarding of users, teams, and data domains onto EchoStar's enterprise Databricks platform on AWS. This role solves problems in external ...

Weld County

AI Solutions Analyst

Greeley, CO

$90K - $127K/yr

Design, build, and deploy agentic AI workflows that autonomously execute multi-step business processes using Microsoft Copilot Studio, Power Automate, and Azure AI services. * Identify and evaluate ...

Themesoft, Inc.

Remote_QA tester-AI Agentic

Denver, CO · On-site

AI Agentic Tester Location: Denver, CO Skills: QA/Test Engineering experience Must have- Experience testing Generative AI, LLM, or AI-based applications. Keyword: Skills: Modern Functional Quality ...

Weld County

AI Solutions Analyst

Greeley, CO · On-site

$90K - $127K/yr

Agentic AI Design & Automation - 50% * Design, build, and deploy agentic AI workflows that autonomously execute multi-step business processes using Microsoft Copilot Studio, Power Automate, and Azure ...

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Agentic Ai information

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$37

$69

$122

How much do agentic ai jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for agentic ai in Colorado is $69.16, according to ZipRecruiter salary data. Most workers in this role earn between $47.79 and $105.14 per hour, depending on experience, location, and employer.

What are agentic AI systems?

Agentic AI systems are artificial intelligence models designed to act autonomously and pursue goals in dynamic environments. Unlike traditional AI, which follows specific programmed instructions, agentic AI can make decisions, take actions, and adapt based on feedback or changes in its environment. These systems are often used in complex tasks such as robotics, autonomous vehicles, virtual assistants, and advanced problem-solving applications. The development of agentic AI raises important questions about safety, control, and ethical use due to their ability to make independent decisions.

What are the key skills and qualifications needed to thrive as an AI engineer, and why are they important?

To thrive as an AI Engineer, you need a strong grasp of computer science fundamentals, machine learning techniques, and proficiency in programming languages such as Python or Java, often supported by a relevant degree in computer science or engineering. Familiarity with AI frameworks (like TensorFlow, PyTorch), cloud platforms, and, in some cases, certifications such as TensorFlow Developer Certificate are typically expected. Critical thinking, problem-solving, and effective collaboration are crucial soft skills for tackling complex AI challenges and working in multidisciplinary teams. These skills and qualities are essential to develop, deploy, and maintain innovative AI solutions that drive business value.

How do agentic AI professionals typically collaborate with cross-functional teams to implement intelligent agents in business processes?

Agentic AI professionals often work closely with data scientists, software engineers, product managers, and business stakeholders to integrate intelligent agents into existing workflows. This collaboration involves understanding business requirements, designing agent behaviors, and ensuring seamless data flow between systems. Regular meetings and iterative feedback cycles are common to align technical solutions with strategic objectives. Effective communication and adaptability are key, as these roles often bridge technical and non-technical domains to achieve successful AI-driven automation.

What is the difference between Agentic Ai vs Data Analyst?

AspectAgentic AiData Analyst
Required CredentialsTypically requires knowledge of AI, machine learning, and programming languagesBachelor's degree in statistics, mathematics, or related field; often requires proficiency in Excel, SQL, and data visualization tools
Work EnvironmentPrimarily tech companies, AI startups, or R&D departmentsBusiness, finance, healthcare, and other industries analyzing data for insights
Employer & Industry UsageUsed in AI development, automation, and machine learning projectsUsed across various industries for data interpretation and reporting
Search & Comparison IntentUnderstanding AI-focused roles versus data analysis roles

Agentic Ai roles focus on developing and implementing AI systems, requiring programming and machine learning skills. Data Analysts interpret data to inform business decisions, often using statistical tools. While both work with data, Agentic Ai professionals are more involved in AI creation, whereas Data Analysts focus on data interpretation.

Is agentic AI a good career?

Agentic AI refers to roles involving the development and deployment of autonomous AI systems, which are in demand in industries like technology, robotics, and automation. Careers in this field typically require skills in machine learning, programming, and data analysis, and can offer growth opportunities as AI technology advances.

What type of jobs are in agentic AI?

Jobs in agentic AI involve developing, training, and deploying autonomous AI systems that can perform tasks independently, such as AI research scientist, machine learning engineer, AI software developer, and data scientist. These roles typically require skills in programming, machine learning frameworks, and understanding of AI ethics and safety protocols.

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

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

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

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

What cities in Colorado are hiring for Agentic Ai jobs?

Cities in Colorado with the most Agentic Ai job openings:

Agentic Ai jobs near you
Infographic showing various Agentic Ai job openings in Colorado as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 70% Physical, 3% Hybrid, and 27% Remote job distribution, with an average salary of $143,858 per year, or $69.2 per hour.

Agentic AI Platform Engineer

Denver, CO • On-site

3Core Systems, Inc.
Software Development • 11 - 50 employees
Learn more about 3Core Systems, Inc.external

Contractor

Posted 8 days ago

Job description


Role: Agentic AI Platform EngineerLocation: Denver, CO - Hybrid (2-3 days onsite per week)Duration: 6-12 Month Contract-to-HireWork Authorization: US Citizen or Green Card Holder
Position Overview
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.
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.
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.
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.
Required Skills:
  • Hands-on Agentic AI / AI application engineering
  • Full-stack software development background
  • Microsoft Copilot Studio
  • Low-code / Power Platform
  • APIs, integrations and connectors
  • AI agents/tool orchestration
  • Identity/security around AI agents
  • Telemetry/observability
  • Automated testing/evaluation of AI output
  • Cloud development
  • Productionizing AI POCs
  • SAP and ServiceNow AI/agent exposure as a plus

Key Responsibilities
  • Design,develop, and productionize AI applications, AI agents, and agenticworkflows.
  • TransformAI proofs of concept into secure, scalable, reliable, and maintainableproduction solutions.
  • Buildreusable components and platform capabilities for enterprise AI andagentic applications.
  • Developintegrations using REST APIs, SDKs, connectors, webhooks, and enterpriseservices.
  • ImplementAI agent tool orchestration, tool access controls, and integrationpatterns.
  • Developand implement sandboxing and isolation mechanisms for AI agents andapplications.
  • Implementsecure identity, authentication, authorization, and access-controlpatterns for AI workloads and agents.
  • Buildtelemetry, logging, monitoring, tracing, and observability capabilitiesfor AI applications and agents.
  • Developautomated testing and evaluation frameworks to assess AI output quality,reliability, safety, and performance.
  • Implementstate management, recovery, error handling, and resilience patterns foragentic workflows.
  • Buildand maintain cloud-based AI application components and supportinginfrastructure.
  • Workwith Microsoft Copilot Studio and Power Platform to build and integrateenterprise AI capabilities.
  • Developlow-code and pro-code solutions where appropriate, understanding how tointegrate both approaches effectively.
  • Establishreusable implementation patterns for AI agents, tools, integrations, andplatform services.
  • Collaboratewith architecture, security, governance, data, and application teams toensure solutions meet enterprise standards.
  • Troubleshootand optimize AI applications across development, testing, and productionenvironments.
  • Usecommand-line tools, IDEs, source control, CI/CD pipelines, and clouddevelopment environments as part of day-to-day engineering activities.
  • Helpestablish engineering standards and technical controls that enableresponsible and scalable adoption of enterprise AI.

Skill Set
Required Skills: Hands-on Agentic AI / AI application engineering Full-stack software development background Microsoft Copilot Studio Low-code / Power Platform APIs, integrations and connectors AI agents/tool orchestration Identity/security around AI agents Telemetry/observability Automated testing/evaluation of AI output Cloud development Productionizing AI POCs SAP and ServiceNow AI/agent exposure as a plus

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