About the role
We deploy autonomous, AI-assisted robotic systems into industrial operations and maintenance environments, helping teams move from manual processes to automated, data-driven workflows. Projects typically involve mobile robotic platforms, robotic arms and 2D/3D vision systems performing inspection and data-capture tasks, supported by a central data platform. 3Ddigital twins and simulation are used to plan, validate and de-risk deployments before and during on-site work.
Purpose of the role
As a field deployment engineer, you are the on-the-ground technical owner who turns a requirement into a working, value-generating deployment. You bridge operations, technology suppliers, engineering, quality, IT and data/AI teams - taking projects from scope definition through on-site commissioning, operation and value demonstration. The role can flex across different programs, sites and use cases as priorities evolve.
Operating environment
- Deployments take place in active industrial and maintenance facilities, where safety clearances, site access rules and safe-work discipline are critical.
- Work must stay compatible with the site's operational schedule and equipment availability constraints.
- Outputs must meet the traceability, audit and regulatory expectations typical of safety-critical industries.
Key responsibilities
Scope & value analysis
- Build and maintain the task/scope definition from current manual procedures across relevant work zones.
- Assess which tasks are suited to automation versus human execution, together with engineering, quality and suppliers.
- Translate the scope into a value case (time savings, accuracy, traceability) aligned with program targets.
Field deployment & robot operation
- Plan and execute on-site deployment: robot routes, site infrastructure, safety clearances and commissioning.
- Operate and supervise robot missions during trials and bridge the operator role until site teams are trained.
- Run acceptance testing and performance verification to validate accuracy and reliability.
3D digital twin & simulation
- Build and maintain a 3D digital twin of the site and equipment to plan robot routes, reach, clearances and coverage before going on site.
- Use simulation to verify inspection coverage, validate trajectories, collision avoidance and cycle times, de-risking commissioning ahead of physical deployment.
- Keep the digital twin aligned with as-built site conditions and use it as a communication and training aid.
- Feed simulation findings into product and roadmap improvement discussions with suppliers and engineering.
Supplier & stakeholder coordination
- Act as the technical interface to technology suppliers: regular cadence, issue tracking, defect reporting and on-site support coordination.
- Coordinate across operations, engineering, quality and HSE stakeholders to keep deployments unblocked.
Data, integration & reporting
- Support data flow into the central data platform and reporting tooling work with the data/AI team to assess model performance.
Adoption & change management
- Drive the robot + human adoption narrative with on-site teams support training material and operating procedure creation.
- Support knowledge transfer and documentation so deployments are sustainable beyond the initial phase.
Required profile
- Engineering background (mechanical, mechatronics, robotics, electrical or industrial maintenance engineering).
- Hands-on field-engineering experience: comfortable working in an operational environment around equipment and robotic systems.
- Strong value-analysis / methods mindset - able to go from a procedure to what a robot can and cannot do,and quantify the benefit.
- Experience coordinating external technology suppliers and cross-functional stakeholders.
- Familiarity with operational/maintenance processes, data platforms and basic AI/computer-vision concepts.
- Rigorous, autonomous and proactive on risk anticipation and documentation.
- Willing to travel to deployment sites English required, additional languages a plus.
- Prior experience deploying robotics, AGVs or automation in an industrial or transport setting.
- Experience with supplier qualification, proof-of-concept trials and acceptance testing.
- Experience with 3D digital twins and simulation / offline robot programming (e.g. robot simulation tools, CAD or point-cloud environments).
