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The EU AI Act is now fully enforceable, and it’s creating a huge demand for specific technical profiles. Companies in the EU that deploy AI systems - think financial services, healthcare, HR, and more - have to comply with new regulations. This means they need software engineers who understand both AI systems and regulatory requirements. It’s not just about compliance, though. The regulation is also driving interest in explainable AI, safety testing, and documentation practices.
To understand what the Act requires, you need to know that it uses a risk-based framework. This means different obligations depending on how an AI system is classified. High-risk AI systems, like those used in employment decisions or law enforcement, are heavily regulated. They require technical documentation, ongoing monitoring, explainability mechanisms, and human oversight. General-purpose AI models, like large language models, face transparency requirements and need to publish technical documentation. Limited and minimal risk systems have lighter requirements, mainly transparency obligations.
The Act is creating new career opportunities. AI compliance and governance roles are emerging, requiring a mix of technical and regulatory knowledge. These roles involve implementing monitoring and logging mechanisms, explaining AI decisions, and producing technical documentation. Companies in financial services, healthcare, and HR are hiring these roles urgently, but the supply of candidates is thin.
Other roles, like AI safety and testing engineers, are also in demand. These engineers need to evaluate AI systems for bias and fairness, and design testing pipelines. MLOps engineers who can build compliance infrastructure are also needed. And then there are technical documentation specialists, who need to document system architecture, training data, and performance limitations.
If you’re already working in AI/ML, developing skills in explainability techniques, bias evaluation, and model documentation can be valuable. Reading the Act’s text can also give you clarity on what’s required. If you’re not in AI/ML, this regulation can be an on-ramp. Engineers with strong software and data fundamentals can transition into these roles by understanding the compliance landscape.
Salaries for AI governance and compliance roles are currently high due to supply scarcity. In Spain and Europe, AI compliance engineers can earn between €60,000 and €95,000. AI safety and evaluation engineers can earn between €65,000 and €100,000. MLOps engineers with a compliance focus can earn between €70,000 and €110,000. These ranges are expected to normalize as more engineers develop the relevant skills, but the premium is likely to persist for a few years.
To find AI and compliance roles across Europe, you can use platforms like Xeito, which aggregates remote-friendly developer and AI engineering roles. You can also tailor your CV to highlight the skills companies need for AI compliance roles, and track your applications across multiple platforms.
And that’s where things stand - the EU AI Act is creating a new landscape for AI careers, and it’s worth exploring if you’re interested in this field.
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