Biogen is hiring a Sr. Engineer, AI Cyber Security. The position is a full-time, remote role based in the USA. The company describes it as a hands-on technical specialist job. The person in this role will be responsible for securing Biogen's growing use of artificial intelligence, machine learning and generative AI technologies.
What the AI Cyber Security Role at Biogen Involves
The job sits at the intersection of cybersecurity engineering and AI/ML systems. That means the engineer will work on both sides — the security side and the artificial intelligence side — to keep Biogen's AI deployments safe.
According to the job description, the AI Security Engineer will design, implement and operate security controls built specifically for AI workloads. These controls cover model development pipelines and inference endpoints, among other areas.
The role is not a general IT security job. It is built around the specific risks that come with AI systems. The job listing names several of these threats directly:
- Adversarial threats against AI deployments
- Data poisoning
- Model manipulation
- Prompt injection
- Unauthorized data exposure
The goal is to make sure AI deployments across Biogen are resilient against these kinds of attacks.
Why This Role Matters in the AI Security Job Market
AI security is a newer and more specialised field than traditional cybersecurity. Most security engineers are trained to protect networks, servers and applications. Far fewer are trained to protect machine learning models and generative AI tools.
This role asks for someone who understands both. The engineer must know how AI models are built and deployed, and also know how attackers try to break them. Prompt injection, for example, is an attack where someone manipulates an AI model through crafted input. Data poisoning is when attackers corrupt the data used to train a model. Model manipulation is when the model itself is tampered with.
Biogen's decision to create this position shows the company treats AI security as a dedicated function, not a side task. The job is remote, which also signals that Biogen is open to hiring talent from anywhere in the USA rather than limiting the search to one office location.
Our Take: A Sign of Where Cybersecurity Jobs Are Heading
In our view, this job posting is a clear signal of where the cybersecurity job market is moving. Companies are no longer just asking "is our network secure?" They are now asking "is our AI secure?" Those are two very different questions, and they need different skills.
To put it plainly, AI security is becoming its own career path. A few years ago, a role like this barely existed. Now, large companies like Biogen are hiring for it as a full-time, dedicated position. For engineers with a background in cybersecurity who are willing to learn how AI and machine learning systems work, this is a strong opportunity.
For job seekers, the message is simple: if you understand both security and AI, you are in a small and valuable group. For companies, the message is equally clear — as AI use grows inside the business, the risks grow with it. Hiring a specialist to guard those systems is no longer optional. It is becoming a basic requirement.
Readers who work in cybersecurity should take note. The skills that got you here may not be enough for the next phase. Learning how AI models can be attacked — and how to stop those attacks — is quickly turning into one of the most useful things you can add to your resume.
