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10 часов назад

Lead Engineer, AI & Automation

Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Lead Engineer, AI & Automation (SQL Server/Azure/AI): Owning and evolving an internal Material Master Data Management system bridging SAP, ERP platforms, and MDG with an accent on data engineering, production support, and enterprise automation. Focus on designing Azure data pipelines, integrating generative and agentic AI, and delivering measurable process improvements through production-grade solutions.

Location: Hybrid onsite 3 days per week in Lake Forest, California, within the Orange County / Greater LA Area

Company

hirify.global is partnering with a manufacturing and services industry organization on internal data management, automation, and AI initiatives.

What you will do

  • Own the operations, architecture, roadmap, maintenance, and production support of an internal Material Master Data Management system connecting SAP, ERP platforms, and MDG.
  • Design and optimize SQL Server/T-SQL solutions, Azure Data Factory and Microsoft Fabric pipelines, and Excel/VBA components.
  • Lead automation and process-improvement initiatives from requirements and design through development, testing, deployment, and production support.
  • Evaluate generative AI and agentic AI opportunities to accelerate automation development and improve business processes.
  • Collaborate with Finance & Accounting, Engineering Documentation, Pricing, Sourcing, Marketing, and Supply Chain stakeholders to scope and prioritize automation opportunities.
  • Apply code-quality, documentation, version-control, data-governance, privacy, security, and responsible-AI practices while defining success metrics and delivering measurable business value.

Requirements

  • Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Information Systems, Business Analytics, or a related field, or equivalent practical experience.
  • 5+ years of hands-on experience in data engineering, automation engineering, or a related discipline, including independent ownership of complex projects and production systems.
  • Strong SQL Server and T-SQL expertise, including stored procedures, views, and complex production queries.
  • Hands-on experience with Azure Data Factory and/or Microsoft Fabric, including pipeline design, linked services, and triggers.
  • Experience with ERP-adjacent data structures such as SAP, transactional systems, or master-data platforms, plus production troubleshooting and support experience.
  • Proficiency in VBA, VB.NET, C#, Python, or another object-oriented or automation-focused language; familiarity with Git and modern version control.

Nice to have

  • Experience with GitHub Copilot, Cursor, Claude, large language model tool/function calling, or retrieval-augmented generation.
  • Knowledge of responsible AI, AI governance, data privacy, and security for production automation and AI systems.
  • Experience with Logic Apps, Power Automate, Key Vault, Data Lake, low-code workflow platforms, data governance, or MDM concepts.
  • Familiarity with R or application development.

Culture & Benefits

  • Contract engagement with potential to convert to a full-time employee.
  • Hands-on technical leadership with end-to-end ownership of systems and projects.
  • Direct collaboration with technical and business stakeholders across multiple functions.
  • Focus on measurable outcomes, including cost savings, cycle-time improvements, and system reliability.

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