The Automation Engineer role today
This guide draws on 335 Automation Engineer postings from 201 companies, published from March to September 2026.
In 6% of Automation Engineer postings, building or applying AI is the job itself.
AI Tools Literacy appears in 27% of Automation Engineer postings, and Prompt Engineering in 10%.
Automation exposure averages 49 out of 100 across these postings, which is moderate: parts of the routine work can be automated, which makes AI skills more valuable in the role.
Entry-level positions make up 47% of postings, senior 26%. The most common way of working is hybrid, in 40% of postings.
Common skill gaps
The AI skills our analysis of Automation Engineer job descriptions most often flags as a gap, with the share of postings where each one comes up.
- Predictive Maintenance Analytics28%
- Digital Twin Simulation22%
- Prompt Engineering14%
- Machine Learning Basics12%
- Python for Automation11%
- Edge AI Deployment11%
Automation Engineer salary
Pay comes only from postings that quote it: 79 of the 335 Automation Engineer postings. Each country uses the pay period its employers quote most.
Netherlands
based on 79 postings quoting pay per month€4,300
median per month
The middle half of advertised salaries, with the line at the median.
Essential Automation Engineer skills
The skills employers ask for in Automation Engineer job descriptions, from the most requested down.
Core skills
- Plc Programming
Often requested
- AI Tools Literacy
- Scada Systems
- Data Analysis
- Industrial Automation
Also valued
- Predictive Maintenance Analytics
- API Integration
- Prompt Engineering
- Automation Scripting
- Predictive Maintenance
AI skills to learn next
The AI skills employers most often want to add to this role, beyond the ones above.
- AI Assisted Diagnostics
How the Automation Engineer role is evolving
The directions employers are taking this role as they adopt AI, with the skills and responsibilities each one adds.
Most common direction
Toward AI transformation
Typical focus
Digital transformation, Smart manufacturing and AI-enhanced systems
Skills to add
- Change Management
- AI Strategy
- Data Analytics
New responsibilities
- Collaborate with data scientists to deploy machine learning models for process optimization
- Implement AI-based predictive maintenance algorithms to reduce unplanned downtime
- Implement AI-based predictive maintenance models to forecast equipment failures and reduce unplanned downtime
- Develop and deploy machine learning models for predictive maintenance and process optimization
Other directions
Toward AI engineering
Typical focus
AI-enhanced control systems, AI-enhanced systems and AI-enabled systems
New responsibilities
- Leverage AI-assisted tools to generate and optimize PLC code, reducing development time by 20%
- Collaborate with data scientists to deploy machine learning models for process optimization
- Implement AI-based predictive maintenance models to reduce downtime
- Implement AI-driven predictive maintenance algorithms to reduce machine downtime
Toward data & machine learning
Typical focus
Data & AI integration and Data & analytics
Skills to add
- Data Visualization
- Time Series Analysis
- Cloud Platforms
New responsibilities
- Collaborate with data scientists to deploy machine learning models for process optimization
- Apply AI anomaly detection to identify early signs of equipment failure
- Analyse production data to train and deploy AI models for process control
- Analyze control system data to identify optimization opportunities and predict failures
Toward AI security
Typical focus
OT cybersecurity & AI and AI security & compliance
Skills to add
- AI Risk Assessment
- Anomaly Detection
- Adversarial Testing
- AI Red Teaming
- AI Security Fundamentals
- AI Threat Detection
New responsibilities
- Conduct AI-specific risk assessments for automation systems
- Assess and mitigate AI-specific risks in OT networks, including data poisoning and model evasion attacks
- Assess and mitigate AI-specific security risks in OT environments
- Assess and mitigate AI-specific security risks in OT networks, including adversarial attacks on control systems
Automation Engineer FAQ
Will AI replace Automation Engineer jobs?
Automation exposure averages 49 out of 100 across these postings, which is moderate: parts of the routine work can be automated, which makes AI skills more valuable in the role. Employers are mostly reshaping the role toward AI transformation, adding skills such as Change Management and Predictive Maintenance Analytics.
What skills do Automation Engineer roles require?
The skills employers ask for most are Plc Programming, AI Tools Literacy, Scada Systems, Data Analysis and Industrial Automation.
Which AI skills should Automation Engineer candidates learn next?
Predictive Maintenance Analytics, AI Tools Literacy and Data Analysis are the AI skills employers most often want to add. The most common skill gaps are Predictive Maintenance Analytics and Digital Twin Simulation.
How is the Automation Engineer role changing?
The most common direction is AI transformation. Other directions include AI engineering, data & machine learning and AI security.
How much do Automation Engineer roles pay in the Netherlands?
Advertised salaries typically range from €4,300 to €4,800 per month, with the median around €4,300, based on 79 postings that quote pay per month.
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This guide is built from public job descriptions for Automation Engineer roles classified as Core AI or AI-enabled. Skills, automation exposure and career directions are extracted from each job description and compared across the market. Postings are deduplicated, so a job listed on several boards or by several agencies counts once. Salaries are advertised ranges from the Netherlands, taken only from the 79 postings that quote pay. How we collect and deduplicate postings.