Senior Principal, Cybersecurity Architect – AI Solutions Full-time

Job Description

Are you passionate about tackling complex data problems? Do you thrive on using your analytical and cybersecurity skills to solve large-scale challenges? Are you intrigued by the intersection of complex business processes and data-driven approaches? If so, we’d love to hear from you!

At Schneider Electric, we are undergoing a transformative journey by leveraging Artificial Intelligence & Automation technologies to empower users with Machine Learning and Cognitive computing, driving business value. Simultaneously, as the number of cybersecurity threats continues to grow, we recognize the importance of having a comprehensive cybersecurity approach across our solutions to safeguard our business and customers.

We seek an AI Solution Cybersecurity Architect to join the team that is building all our AI Algorithm in order to build Secured by Design product.

You’ll be responsible for AI security strategy across Schneider Electric AI use Cases. The goal is to Build secured AI architecture solutions that will be implemented by hundreds of data scientists, data engineers and AI engineers to deliver sustainable AI solutions.

This role will work closely with AI Solution Architect, Digital Risk Leader, product engineering team and end users to define the best-in-class cybersec standards and architecture for our AI solutions.

If you’re excited by the opportunity to positively impact business processes through innovation and application of advanced technologies, you will feel at home.

This role also offers significant learning and growth opportunities in Artificial Intelligence space.

Missions includes
• Work hand-in-hand with the Solution Architect, Data engineering team and Data Scientist to define cybersecurity posture of the AI solutions including vulnerability management, endpoint protection, SIEM, FIM, IDS/IPS, incident response, and network security.
• 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

Qualifications
• Master’s degree in computer science, cybersecurity
• 10+ years of cybersecurity experience with at least 5 years of proven technical leadership
• Deep understanding of public cloud technologies like: Azure, AWS
• 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
• Experience with Agile and/or SaFe practice
• Good understanding of enterprise business processe
• Public Cloud like: AWS, Azure
• Technologies: Databricks, Edge Computing
• Experience with Containerization (AKS, EKS)
• GitHub

Soft Skills Required:
• Hold strong written and verbal communication skills to effectively communicate security principles, policies and procedures at a level appropriate for technical and non-technical audience
• Have strong organizational skills.
• Have the ability to handle and to maintain confidential information.
• Strong communication skills – verbal and written