Operational Technology Engineer – AI & Data-Driven Production Systems

About the role

We are looking for an Operational Technology Engineer to drive AI-enabled improvements in our production environment together with external vendors and internal teams. You will turn real shop-floor needs into well-defined AI use cases, lead vendor delivery from scoping to pilot, validate outcomes and ensure solutions are integrated into daily operations.

This is a hands-on, impact-focused role, not a research position. If you like making technology work in real production conditions and can keep vendors accountable for results, you will fit well.

Why this role matters

You will be the person who connects Operations, OT/IT, and suppliers to deliver measurable improvements in efficiency, quality, and decision-making.

What you will do

• Identify AI use cases with Production, Quality, Maintenance, and OT, define success metrics, acceptance criteria, and rollout conditions

• Lead collaboration with external vendors. Run workshops, align scope, timelines, responsibilities, and control delivery quality

• Review vendor proposals and technical concepts, challenge assumptions, and ensure solutions match production constraints and data reality

• Drive data readiness: KPI definitions, data availability, quality checks, and access to required OT and IT sources

• Coordinate pilots, evaluate results vs KPIs, and make scale-up or stop recommendations based on evidence

• Ensure smooth integration with the OT and IT landscape, including reporting, dashboards, and operational workflows

• Track AI and industrial automation trends and propose pragmatic next steps with clear business value

Required skills

• Experience delivering data, analytics, automation, or digitalization projects in manufacturing or industrial environments

• Strong stakeholder management and communication skills, including working effectively with external suppliers

• Ability to translate business problems into structured requirements, datasets, metrics, and test plans

• Working knowledge of an analytics stack: SQL plus Power BI and/or Python

• Solid understanding of AI and ML fundamentals, including practical evaluation of LLM-based solutions

• Good English, written and spoken

• We work 4 days from office + 1 day remote