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Ai Automation Jobs in Colorado (NOW HIRING)

We are seeking a Mid-Level AI and Automation Engineer to develop next-generation AI capabilities within our Microsoft-based environment. This role will focus on building intelligent assistants and ...

AI & Automation Engineer

Denver, CO · On-site

$90K - $120K/yr

We are seeking a Mid-Level AI and Automation Engineer to develop next-generation AI capabilities within our Microsoft-based environment. This role will focus on building intelligent assistants and ...

Senior AI Automation Engineer

Denver, CO · On-site

$130K - $165K/yr

Senior AI & Automation Solutions Engineer All Copy Products | Denver, Colorado | Full-Time Hybrid Base salary range: $130,000-$165,000, plus benefits and any applicable bonus or incentive eligibility ...

Senior AI Automation Engineer

Denver, CO

$107K - $140K/yr

Senior AI Automation Engineer Company: Prologis A day in the life The Senior AI Automation Engineer accelerates the delivery and adoption of practical AI solutions across Digital Experience ...

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Ai Automation information

See Colorado salary details

$32.6K

$122.6K

$178.2K

How much do ai automation jobs pay per year?

As of Aug 15, 2026, the average yearly pay for ai automation in Colorado is $122,614.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,200.00 and $146,200.00 per year, depending on experience, location, and employer.

What jobs can I get with AI automation?

Jobs related to AI automation include roles such as AI engineer, machine learning engineer, data scientist, automation developer, and AI product manager. These positions typically require skills in programming, data analysis, and understanding of AI tools and frameworks like Python, TensorFlow, or PyTorch.

What does an AI Automation do?

A typical day for an AI Automation professional involves analyzing business processes to identify automation opportunities, developing and testing AI-driven solutions, and collaborating with cross-functional teams such as IT, operations, and project management. You might also be tasked with monitoring deployed systems, troubleshooting issues, and continuously improving automation workflows based on feedback and performance data. Frequent communication with stakeholders and end-users is common, ensuring solutions align with business goals. This dynamic environment provides opportunities to learn new technologies and contribute to impactful digital transformation initiatives.

What are the key skills and qualifications needed to thrive in AI Automation?

To excel in AI Automation, you need a solid background in computer science, machine learning, and process automation, often supported by a degree in a STEM field. Proficiency with tools like Python, TensorFlow, RPA platforms (such as UiPath or Blue Prism), and familiarity with cloud services are commonly required, along with relevant certifications. Strong problem-solving abilities, analytical thinking, and collaboration skills set exceptional candidates apart. These skills are vital for designing, deploying, and maintaining AI-driven automation solutions that improve business efficiency and accuracy.

What is an AI Automation?

An AI Automation job involves designing, developing, and managing automated systems that leverage artificial intelligence to streamline processes, improve efficiency, and reduce manual effort. Professionals in this field work with machine learning models, software automation tools, and AI-driven decision-making systems. They collaborate with teams to implement AI solutions across industries such as finance, healthcare, and customer service. This role often requires expertise in programming, data science, and AI technologies to optimize workflows and enhance business operations.

Is AI automation a good career?

AI automation is a growing field with increasing demand for professionals skilled in machine learning, programming, and data analysis. Careers in this area often offer competitive salaries, opportunities for advancement, and the chance to work on innovative technologies, making it a promising option for those interested in technology and automation. Success typically requires continuous learning and familiarity with tools like Python, TensorFlow, or cloud platforms.

What are the most commonly searched types of Ai Automation jobs in Colorado?

The most popular types of Ai Automation jobs in Colorado are:

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

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

What cities in Colorado are hiring for Ai Automation jobs?

Cities in Colorado with the most Ai Automation job openings:

Infographic showing various Ai Automation job openings in Colorado as of August 2026, with employment types broken down into 78% Full Time, 19% Part Time, and 3% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $122,614 per year, or $58.9 per hour.

AI & Automation Engineer

Go West IT

Greenwood Village, CO • On-site

$145K - $175K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


Job description

As a leading MSSP in Colorado, Go West IT is the trusted guide to the digital frontier. Our mission is to help companies benefit from technology by expertly guiding them to opportunities and protecting them from harm. We do this by providing a team of trusted guides with the knowledge, skills, and expertise needed to navigate this constantly changing landscape. Our entire team is continually building their knowledge base, keeping us ahead of the technology curve and helping us succeed at our mission.
As the AI & Automation Engineer, you will be a member of the MSP Team, helping transform how we deliver technology services by designing, building, and maintaining AI-powered solutions and intelligent automations. This role combines traditional automation engineering with modern AI engineering to improve internal operations, increase efficiency, and enhance the client experience.
You will develop AI agents, LLM-powered workflows, automation scripts, integrations, and cloud-native solutions that eliminate repetitive work, accelerate service delivery, and enable data-driven decision making. You'll work closely with engineering, service desk, account management, and leadership teams to identify opportunities where automation and AI can deliver measurable business value.
What you can expect from us:
  • Opportunity to be an integral part of an organization on the cutting edge of AI and technical innovation
  • A fast-paced environment where every day brings new technical challenges and opportunities
  • Opportunity to research, experiment with, and implement emerging AI technologies
  • A commitment to professional development with resources to continuously learn and grow
  • Collaboration with an exceptionally talented and supportive technical team
  • Hybrid work environment
  • Company-paid events and employee recognition programs
  • Competitive annual salary range of $145,000-$175,000 and comprehensive benefits including PTO, medical, dental, vision, life, disability, and 401(k) with generous company match

What we will expect from you:
  • Consistently demonstrate Go West's Core Values
  • Passion for solving complex business problems through automation and AI
  • Strong ownership mentality with the ability to independently drive projects from concept through deployment
  • Excellent written and verbal communication skills
  • Ability to explain technical AI concepts to non-technical audiences
  • Strong analytical thinking and curiosity for emerging technologies
  • Exceptional documentation habits and commitment to maintainable code
  • Ability to prioritize multiple initiatives while managing stakeholder expectations
  • Continuous improvement mindset with enthusiasm for learning new tools and technologies

What you will be doing:
AI Engineering:
  • Design, develop, and deploy AI-powered solutions that improve internal operations and client service delivery
  • Build and maintain AI agents using Claude and other modern LLM technologies
  • Develop prompt engineering standards, reusable prompt libraries, and AI workflows
  • Create internal AI tools that increase technician productivity and automate repetitive work
  • Evaluate emerging AI technologies and recommend adoption where appropriate
  • Develop retrieval-augmented generation (RAG) solutions utilizing company documentation and knowledge bases
  • Build AI-assisted reporting, knowledge management, and operational tools
  • Establish and maintain AI governance frameworks, testing standards, monitoring processes, and security controls to ensure all AI solutions follow industry best practices and protect internal and client data throughout the AI lifecycle
  • Ensure all AI solutions follow approved governance policies, access controls, auditability requirements, and secure-by-design principles throughout the development lifecycle

Automation Engineering:
  • Develop, test, and deploy automation scripts across business systems and managed service platforms
  • Build integrations between PSA, RMM, Microsoft 365, Azure, security platforms, and other business applications
  • Develop PowerShell and API-driven automation for Windows, macOS, Linux, and cloud environments
  • Automate software deployment, monitoring, remediation, and infrastructure management
  • Improve existing automation frameworks and identify new automation opportunities across the organization

Cloud & DevOps:
  • Develop and maintain Azure Functions, Logic Apps, Automation Accounts, and other cloud-native services
  • Build and maintain CI/CD pipelines using Azure DevOps
  • Manage Git repositories, branching strategies, code reviews, and release processes
  • Maintain secure development practices including secrets management and Key Vault integration
  • Monitor production AI and automation solutions for reliability and performance

Collaboration & Innovation:
  • Partner with technical teams to identify automation opportunities
  • Work alongside leadership to prioritize AI initiatives with measurable ROI
  • Document standards, architecture, and implementation procedures
  • Participate in architecture discussions and continuous improvement initiatives
  • Research and prototype emerging AI technologies to keep Go West at the forefront of innovation

Qualifications we require from you:
  • Must be local to Colorado apply
  • 3+ years of experience developing automation solutions in a professional IT environment
  • Experience working within a Managed Services Provider (MSP) environment
  • Advanced PowerShell scripting experience
  • Strong experience building integrations using REST APIs and Microsoft Graph
  • Experience using Azure DevOps for source control, project management, and CI/CD pipelines
  • Experience using Git, branching strategies, pull requests, and modern source control practices
  • Required experience using Claude and Claude Code
  • Experience designing, deploying, and supporting solutions within Microsoft Azure
  • Strong understanding of cloud security best practices
  • Experience with Azure OpenAI and prompt engineering
  • Experience integrating AI solutions with Microsoft 365 (Teams, SharePoint, Outlook)
  • Experience with DLP policies and data governance
  • Background in business process automation or systems integration
  • Knowledge of security, compliance, and responsible AI practices
  • Experience troubleshooting complex automation and integration issues
  • Authorization to work in the United States

Preferred skills from you:
  • 5+ years of MSP experience
  • Experience building AI agents and agentic workflows
  • Experience with Model Context Protocol (MCP)
  • Experience integrating LLMs into production workflows
  • Experience with vector databases and Retrieval Augmented Generation (RAG)
  • Experience with Azure AI Services, Azure OpenAI, or similar AI platforms
  • Experience with Python in addition to PowerShell
  • Experience with Microsoft Power Platform
  • Knowledge of containerization
  • Experience with infrastructure as code
  • Familiarity with Power BI and data visualization
  • Microsoft Certified: DevOps Engineer Expert
  • AI-related certifications or equivalent demonstrated experience
  • ITIL 4 Foundation Certification

Application deadline: 8/28/2026