The Principal Cyber AI Engineer will play a key role in the development, implementation, and optimization of advanced AI and machine learning algorithms to detect and mitigate cyber threats.
This role is focused on hands-on technical leadership, involving deep research into AI security models and working closely with other teams to integrate AI solutions into cybersecurity architectures.
Key Responsibilities:
? Design, develop, and optimize AI-driven security solutions to identify, predict, and prevent cyber threats.
? Implement machine learning models, neural networks, and other AI techniques to enhance threat detection capabilities.
? Collaborate with data scientists, security engineers, and other stakeholders to integrate AI technologies into the existing cybersecurity infrastructure.
? Analyze data from security incidents to continuously improve AI models and methodologies.
? Provide technical leadership and mentorship to junior engineers in AI and machine learning technologies.
Stay current on industry trends and advancements in both AI and cybersecurity.
Experience includes:
MSFT Power Platform (Copilot Studio Review/Assessment: Power FX, Power Pages, Power Apps, Power Automate, Copilot Studio, DataVerse, Strong understanding of Power Platform Admin Center (PPAC), Copilot Admin Center, PP Security, PP Networking -Vnet Peering)
Microsoft Copilot (Studio Review/Assessment; M365)
Azure (Copilot Studio Review/Assessment; AZ-900 Certified; Private link; Networking; Security)
MSFT data governance, compliance, and risk management (Copilot Studio Review/Assessment: hands-on experience with Purview, DLP, Purview Information Protection (MPIP).
Python/JS