AI & Automation Engineer

Go West IT•Greenwood Village, CO

3d•$145,000 - $175,000•Hybrid

About The Position

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.

Requirements

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
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

Nice To Haves

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

Responsibilities

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
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
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
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