Dear Aspirant!

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.

We are looking for: Cybersecurity Expert - AI in Grid Software

You'll Make An Impact By

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.

Use your skills to move the world forward!

Bachelor's degree / masters in CS.
At least 8 years of cybersecurity experience, including having led security assessments in production environments
Hands-on experience applying AI security frameworks (e.g. MITRE ATLAS, NIST AI RMF) to conduct risk profiling
Demonstrated experience designing defenses against adversarial ML attacks (data poisoning, prompt injection, model evasion/inversion)
Experience with data supply chain and privacy governance for AI pipelines (e.g. EU AI Act compliance, PII anonymization, training data integrity verification)
Experience designing security protocols for agentic/multi-agent AI systems (API scoping, human-in-the-loop approval gates, activity logging)
Nice to have: Consequence-driven Cyber-informed Engineering (CCE)
Secure MLOps, AI-assisted code verification
AI risk governance, API security.

Create a better #TomorrowWithUs!

This role is based in Bangalore, where you'll get the chance to work with teams impacting entire cities, countries - and the shape of things to come.

We value your unique identity and perspective and are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society. Come bring your authentic self and create a better tomorrow with us.

We're Siemens. A collection of over 312,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we encourage applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and imagination and help us shape tomorrow.

Find out more about Siemens careers at: www.siemens.com/careers

Find out more about the Digital world of Siemens here: www.siemens.com/careers/digitalminds #STS