Principal, Cybersecurity Architect - AI Platform

At Schneider Electric, we are committed to solving real-world problems to create a sustainable, digitized, new electric future.

Artificial Intelligence has the potential to transform industries and help unlock efficiency and sustainability.

Within our Global AI Hub we combine our long-standing manufacturing and domain expertise with cutting-edge innovation in AI, machine learning, and deep learning to empower smarter decision-making, agility, and decarbonization.

The AI Technology team is looking for an AI Cybersecurity Architect.

About RoleYou'll be responsible for AI security strategy, and enforcement across Schneider Electric.

The goal is to define and deliver secured AI services at scale to empower hundreds of data scientists, data engineers and AI engineers to deliver sustainable AI solutions.

This role will work closely with product management, product engineering team and end users to define the best-in-class cybersec standards and architecture for our AI platform and the AI solutions built on top of it.

MissionsWork hand-in-hand with the platform engineering and product management team to define cybersecurity posture of the AI platform including vulnerability management, endpoint protection, SIEM, FIM, IDS/IPS, incident response, and network security.Provide input and directly participate in critical technology architecture design decisions that enhance the overall effectiveness and performance of our AI Platform services.Guide and support AI initiatives around AI Cybersec.Proactively identify and develop recommendations to remediating cyber risk issues and vulnerabilities by working with multiple teams including engineering, legal, HR, product development, etc.

Qualifications

ProfileMaster's degree in computer science or cybersecurity

• 10+ years of cybersecurity experience with at least 5 years of proven technical leadership

• Deep understanding of public cloud technologies: Azure and/or AWS

• Experience with Containerization,Kubernetes (AKS, EKS)Knowledge of Databricks and Edge Computing would be an asset

• Experience with AI and ML technology and services (Machine Learning, Robotic Process Automation, Conversational AI, Natural Language Processing, Computer Vision)

• Deep understanding of data architecture and data privacy

• Ability to communicate technical concepts and solutions at a level appropriate for technical and non-technical audiences.

• Experience with Agile Scrum and/or SaFe practices

• Strong communication skills - verbal and written.

• Good understanding of enterprise business processes

We know skills and competencies show up in many ways and can be based on your life experience.

If you do not necessarily meet all the requirements that are listed, we still encourage you to apply.

Our offer includes attractive remuneration and goes far beyond that.

We offer competitive benefits, a work environment that encourages professional development, a qualitative onboarding and accompaniment th...