AI-Enabled Digital Operations Engineer

Excelitas Technologies Corp.

Pittsburgh (Allegheny County)

On-site

USD 120,000 - 180,000

Full time

12 hours ago
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Job summary

Excelitas Technologies Corp. is seeking a Digital Operations Process Engineer to drive AI initiatives across manufacturing and business operations in Pittsburgh.

The role bridges operations and technology to translate real pain points into practical AI solutions, guiding projects from ideation to scale. Responsibilities include identifying opportunities with cross-functional teams, building prototypes, and ensuring secure, compliant implementations while staying current on AI capabilities

Qualifications

  • BS in Industrial, Manufacturing, Mechanical Engineering or equivalent.
  • 5+ years' experience in an Operation Systems focused environment.
  • Strong understanding of manufacturing or operations processes; semiconductor/electronics experience preferred.
  • Demonstrated ability to apply AI tools to real business problems.
  • Hands-on experience with modern AI platforms and coding assistants.

Responsibilities

  • Partner with operations, engineering, quality, and supply chain teams to identify AI opportunities that improve process efficiency and decision-making.
  • Lead or support AI-enabled process improvement projects from idea through pilot and scaling.
  • Use AI tools to digitize manual processes, build automation, generate reports, and create prototypes.
  • Analyze operational data to surface insights and translate findings into actionable recommendations.
  • Collaborate with IT and compliance to ensure security and regulatory requirements.

Skills

AI technologies
Data analysis
Communication
Process improvement
Cross-functional collaboration

Education

Bachelor's degree in Industrial/Manufacturing/Mechanical Engineering or equivalent

Tools

Grok Build
Codex / GitHub Copilot
Excel
Power BI

Job description

Excelitas Technologies Corp. is seeking a Digital Operations Process Engineer to drive AI initiatives across manufacturing and business operations in Pittsburgh.

The role bridges operations and technology to translate real pain points into practical AI solutions, guiding projects from ideation to scale. Responsibilities include identifying opportunities with cross-functional teams, building prototypes, and ensuring secure, compliant implementations while staying current on AI capabilities

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