Digital Operations Process Engineer (AI)

Location: Pittsburgh, Pennsylvania, United States

Company

hirify.global develops photonic technologies for biomedical, semiconductor, industrial, consumer products, scientific, security, defense, and aerospace applications.

What you will do

• Partner with operations, engineering, quality, and supply chain teams to identify and prioritize AI opportunities.
• Lead or support AI-enabled process improvement projects from ideation through piloting and scaling.
• Use Grok Build, Codex, GitHub Copilot, and similar platforms to digitize manual processes, automate repetitive work, build prototypes, and create reports or dashboards.
• Analyze operational data, identify trends and improvement opportunities, and provide recommendations to leadership and process owners.
• Define project scope, success metrics, and implementation plans while coordinating cross-functional stakeholders.
• Document solutions, develop user guides and training materials, support change management, and work with IT and compliance on security, data handling, and regulatory requirements.

Requirements

• Bachelor’s degree in Industrial, Manufacturing, or Mechanical Engineering, Computer Information Systems, or an equivalent field.
• 5+ years of experience in an operations systems-focused environment.
• Strong understanding of manufacturing or operations processes; semiconductor, electronics, or complex discrete manufacturing experience is preferred.
• Demonstrated ability to apply AI tools to process digitization, data analysis, automation, or decision support.
• Hands-on experience with modern AI platforms and coding assistants, including Grok Build, Codex, GitHub Copilot, or similar tools.
• Strong analytical, communication, stakeholder management, and operational data skills, including Excel, Power BI, or equivalent.

Nice to have

• Experience with MES, ERP systems such as SAP or Dynamics, and manufacturing systems.
• Background in continuous improvement, lean, or process excellence.
• Familiarity with low-code/no-code tools, rapid prototyping, digital transformation, or operations automation.

Culture & Benefits

• Regular full-time employment within a global technology organization.
• Work focused on practical AI solutions with measurable operational impact rather than theoretical models.
• Collaboration across operations, engineering, quality, supply chain, IT, and compliance functions.
• Visa sponsorship is not available.
• The role involves information subject to ITAR requirements.