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Ai Automation Engineer Jobs in Colorado (NOW HIRING)

D.A. Davidson

AI & Automation Engineer

Denver, CO

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 ...

D.A. Davidson

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 ...

All Copy Products

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 ...

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All JobsAi Automation Engineer JobsAi Automation Engineer Jobs in Colorado

Ai Automation Engineer information

See Colorado salary details

$38.9K

$112.6K

$171.4K

How much do ai automation engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for ai automation engineer in Colorado is $112,645.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,000.00 and $129,900.00 per year, depending on experience, location, and employer.

What is an AI automation engineer?

AI Automation Engineers are professionals who design, develop, and implement artificial intelligence solutions to automate tasks and workflows within organizations. They combine expertise in AI, machine learning, and software engineering to create systems that can perform repetitive or complex tasks efficiently with minimal human intervention. Their work often involves building and integrating AI models, optimizing processes, and ensuring the reliability and scalability of automated solutions. These engineers collaborate closely with data scientists, software developers, and business stakeholders to align automation initiatives with organizational goals.

What is the difference between Ai Automation Engineer vs Data Scientist?

AspectAi Automation EngineerData Scientist
Required CredentialsBachelor's in Computer Science, Engineering, or related field; knowledge of AI, automation toolsBachelor's or higher in Statistics, Computer Science, or related; strong analytical skills
Work EnvironmentTech companies, automation firms, R&D labs; focus on developing AI-driven automation solutionsData analysis teams, research institutions; focus on data modeling and insights
Employer & Industry UsageUsed in manufacturing, software development, AI startupsUsed across finance, healthcare, marketing, and tech sectors
Common Search & Comparison IntentUnderstanding roles in AI automationExploring data analysis careers

While both roles involve working with data and AI, Ai Automation Engineers focus on developing automated AI systems and integrating AI into processes. Data Scientists analyze data to extract insights and build models. The roles overlap in AI knowledge but differ in application and focus areas.

What are common challenges faced by AI automation engineers during project implementation?

AI Automation Engineers often encounter challenges such as integrating new AI models with existing legacy systems, ensuring data quality for accurate model outputs, and managing stakeholder expectations regarding automation outcomes. They must also address issues related to model scalability and robustness, especially when deploying solutions in dynamic production environments. Collaboration with cross-functional teams—including data scientists, software engineers, and business analysts—is essential to navigate these complexities and deliver effective automation solutions.

What skills and qualifications are needed to thrive as an AI automation engineer?

To thrive as an AI Automation Engineer, you need strong programming skills (such as Python), a solid understanding of machine learning concepts, and typically a degree in computer science, engineering, or a related field. Familiarity with automation frameworks, cloud platforms (like AWS, Azure, or GCP), and machine learning libraries (such as TensorFlow or PyTorch) is often required. Problem-solving ability, adaptability, and effective communication are crucial soft skills for collaborating across teams and addressing complex technical challenges. These skills ensure the successful design, implementation, and scaling of automated AI solutions that drive business efficiency and innovation.
What are popular job titles related to Ai Automation Engineer jobs in Colorado? For Ai Automation Engineer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Ai Automation Engineer jobs in Colorado look for? The top searched job categories for Ai Automation Engineer jobs in Colorado are:
What cities in Colorado are hiring for Ai Automation Engineer jobs? Cities in Colorado with the most Ai Automation Engineer job openings:
Ai Automation Engineer jobs near you
Infographic showing various Ai Automation Engineer job openings in Colorado as of August 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 100% In-person job distribution, with an average salary of $112,645 per year, or $54.2 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 7 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

Apply