Onsite AI & Smart Manufacturing Engineer

GSK plc; Marietta (PA); On-site; USD 150,000 - 210,000; Full time

Job summary

GSK plc in the United States seeks an on-site technology leader to drive AI and digital initiatives at key manufacturing sites. You will translate high-priority opportunities into working PoCs, PoVs, and MVPs, interfacing with local business stakeholders and global product teams for production-scale deployment.

The role is equivalent to Associate Director/Senior Manager, requiring 6+ years in AI, data, and manufacturing technology, with hands-on engineering across AI, data, and integration

Qualifications

• Bachelor's degree in a technical field or related discipline.
• 6+ years in technology, engineering, data, AI, digital, or manufacturing.
• Experience delivering AI, Data & Analytics, Smart Manufacturing, or Digital transformation initiatives.

Responsibilities

• Embed with sites to understand operational challenges and opportunities.
• Translate opportunities into measurable use cases and technical solutions.
• Design, build and validate PoCs/PoVs/MVPs using real data and workflows.
• Provide hands-on AI, data, integration, and automation development.
• Make evidence-based continue/adapt/stop recommendations based on value and feasibility.
• Ensure governance, cybersecurity, data privacy, and GxP requirements are incorporated from the start.
• Partner with product teams to transition validated solutions for scale-up and lifecycle ownership.
• Resolve deployment barriers across legacy systems and fragmented data.

Skills

AI & Analytics

Smart Manufacturing

PoCs/PoVs/MVPs

Stakeholder collaboration

Cross-functional teams

Software engineering frameworks

Generative AI

Education

Bachelor’s degree (CS/Engineering/IT or related)

Master’s degree (AI/CS/Data Science or related)

Tools

Python

Azure Cloud

Job description

GSK plc in the United States seeks an on-site technology leader to drive AI and digital initiatives at key manufacturing sites. You will translate high-priority opportunities into working PoCs, PoVs, and MVPs, interfacing with local business stakeholders and global product teams for production-scale deployment.

The role is equivalent to Associate Director/Senior Manager, requiring 6+ years in AI, data, and manufacturing technology, with hands-on engineering across AI, data, and integration