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Enterprise Systems & AI Engineer

Innovative Labs Springville, UT

Springville, UT

Today

Full time Artificial Intelligence Azure Azure Data Factory

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Job Description

Own enterprise infrastructure and drive responsible AI adoption across manufacturing operations and business systems.

Responsibilities

Administer and operate the Microsoft Azure environment including Azure SQL, virtual machines, networking, storage, Azure Data Factory, and identity and cost management
Manage Microsoft 365 and Entra ID / Active Directory including accounts, groups, access control, conditional access, and SSO
Administer the VMware environment and maintain on-premises and cloud servers (Windows and Linux) powering internal applications
Handle server operations including patching, backups, monitoring, and disaster recovery
Apply security best practices: least-privilege access, secrets management, MFA, logging, and regular access reviews
Lead company AI efforts by owning the AI platform and tools and driving adoption across departments
Use AI as an everyday work tool by building, troubleshooting, documenting, and supporting systems faster with AI assistants and agents (example tools include Claude, Microsoft Copilot, Azure OpenAI)
Combine systems engineering and AI by using AI to improve systems and integrations, while applying testing, security, and monitoring to AI-enabled tools the same way as other systems
Identify and deliver automation opportunities across operations and the back office
Stay current on AI changes by tracking new models, tools, and practices
Build personal AI capability and help others use AI well across the company
Support responsible AI usage by helping define and follow practical rules for AI use with appropriate controls around company data
Serve as the main technical administrator of the ERP, including configuration, user security, upgrades, database health, and the reporting replica
Administer company SaaS and specialized platforms including Monday.com, LIMS, QMS, MES, and production-performance (OEE) systems, plus additional platforms as they are added
Act as the escalation point for system issues by diagnosing across systems and coordinating with vendors to resolve problems while maintaining vendor relationships and contracts
Evaluate new software, lead implementations and upgrades, and retire systems that are no longer needed
Design, build, and support integrations between satellite systems and the ERP using REST APIs, Azure Data Factory, Databricks, SQL, and scripting
Own data pipelines that keep production, inventory, quality, and financial data in sync, including monitoring and alerts to catch failures before users notice
Write and maintain SQL, Python, and PHP code for integrations, reports, and internal web tools
Keep integration and development documentation current
Partner with department leaders to deliver solutions: configure existing systems, build integrations, or design new tools on the internal web platform
Support validation, change control, and audit needs for systems holding quality and compliance data
Maintain system documentation, runbooks, and a current system and integration inventory

Requirements

Bachelor’s degree in Information Systems, Computer Science, Engineering, or a related field (or equivalent professional experience)
10+ years in IT systems engineering, enterprise systems administration, or a similar role, including at least 5 years hands-on with cloud infrastructure
Strong Microsoft Azure experience: Azure SQL, VMs, networking, identity (Entra ID), and Azure Data Factory or a comparable integration and data pipeline tool
Experience administering an ERP system, ideally in a manufacturing or distribution business
Track record building and supporting integrations using REST APIs, SQL, and at least one scripting language (Python, PowerShell, or similar)
Strong SQL skills including query writing, performance tuning, and database troubleshooting (Microsoft SQL Server / Azure SQL preferred)
Working knowledge of VMware, Active Directory, Microsoft 365, Windows Server, and Linux administration
Sound security habits including access control, secrets handling, backups, and incident response
Clear communication with non-technical users and leaders, including explaining trade-offs in plain language
Judgment to work independently and own outcomes as a senior member of a small team
Curiosity and adaptability with a habit of learning new technology quickly and using AI to improve how work gets done

Technologies

Microsoft Azure, Azure SQL, Azure Data Factory
Microsoft 365, Entra ID, Active Directory, SSO
VMware, Windows, Linux, MFA
ERP, Monday.com, LIMS, QMS, MES, OEE
REST APIs, Databricks, SQL, Python, PHP
Claude, Microsoft Copilot, Azure OpenAI

Benefits

Comprehensive health, dental, and vision coverage, plus a few weeks of paid parental leave
Paid time off and holidays
A 401(k) retirement plan with company contributions

Preferred Qualifications

Experience in an FDA-regulated or cGMP manufacturing environment, including computer system validation and audit support
Hands-on experience with LIMS, QMS, MES, or OEE platforms (example: Redzone)
Experience with Databricks, Snowflake, or other modern data platforms
Web development experience (PHP, JavaScript) for internal tools and dashboards
Hands-on experience with AI coding assistants, AI agents, or large language model APIs
Experience with Git and CI/CD

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