Cybersecurity Expert - AI in Grid Software

We empower our people to stay resilient and relevant in a constantly changing world. We’re looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future. Does that sound like you? Then it seems like you’d make a great addition to our vibrant international team.

Secure AI deployment design: Design security principles and guardrails for local AI model and harness deployments, both for internal software development tooling and for control-center AI-enabled software.

AI risk profiling: Apply frameworks such as MITRE ATLAS and the NIST AI Risk Management Framework to profile and prioritize AI-specific risks across the portfolio.

Adversarial ML defense: Design guardrails against model-specific attacks — data poisoning, prompt injection, and model evasion/inversion — for AI systems used in product development and in shipped products.

Data governance for AI pipelines: Ensure data pipelines comply with data governance regulations (e.g. EU AI Act), that PII is anonymized before training, and that training data integrity is verifiable.

Agentic security: Define security protocols for autonomous AI agents that generate code, run scripts, or trigger API calls — including API scoping, human-in-the-loop approval gates, and activity logging — across different deployment secure zones and their contexts.