AI-Driven Operations Engineer

Excelitas Technologies; Pittsburgh (Allegheny County); On-site; USD 95,000 - 135,000; Full time

Job summary

Excelitas Technologies seeks a Digital Operations Process Engineer in Pittsburgh to guide AI initiatives across manufacturing and business operations. You will translate operational pain points into deployable AI solutions, partnering with IT and compliance to ensure secure data handling and regulatory alignment.

The role emphasizes identifying high-value use cases, piloting AI-enabled improvements, and driving adoption on the shop floor and supporting functions.

Qualifications

• BS in Industrial, Manufacturing, Mechanical Engineering, Computer Information Systems or equivalent.
• 5+ years' experience in an Operation Systems focused environment.
• Experience applying AI tools to real business problems (process digitization, data analysis, automation of repetitive tasks, or decision support).
• Hands-on experience with modern AI platforms and coding assistants (Grok Build, Codex/GitHub Copilot, or similar tools).
• Solid analytical skills and comfort working with operational data (Excel, Power BI, or equivalent).
• Ability to communicate clearly with both technical and non-technical audiences and influence without formal authority.

Responsibilities

• Partner with operations, engineering, quality, and supply chain teams to identify and prioritize AI opportunities that improve process efficiency, reduce manual effort, and enhance decision-making.
• Lead or support AI-enabled process improvement projects from idea through pilot and scaling.
• Use AI tools (Grok Build, Codex, and other available platforms) to digitize manual processes, build practical automation, generate reports/dashboards, and create working prototypes.
• Analyze operational data to surface insights, trends, and improvement opportunities; translate findings into clear recommendations for leadership and process owners.
• Guide cross-functional AI projects by defining scope, success metrics, and realistic implementation plans while managing stakeholder expectations.
• Document solutions, create simple user guides/training materials, and support change management so new tools and processes stick.
• Stay current on practical AI capabilities relevant to manufacturing and operations and evaluate which tools/approaches fit our environment.
• Collaborate with IT and compliance stakeholders to ensure solutions meet security, data handling, and regulatory requirements.

Skills

AI tools usage

Data analysis

Cross-functional collaboration

Communication

Education

BS in Industrial, Manufacturing, Mechanical Engineering, Computer Information Systems or equivalent

Tools

Excel

Power BI

Job description

Excelitas Technologies seeks a Digital Operations Process Engineer in Pittsburgh to guide AI initiatives across manufacturing and business operations. You will translate operational pain points into deployable AI solutions, partnering with IT and compliance to ensure secure data handling and regulatory alignment.

The role emphasizes identifying high-value use cases, piloting AI-enabled improvements, and driving adoption on the shop floor and supporting functions.