Enterprise Systems & AI Engineer

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