AI Cyber Security Engineer II

What you'll do

• Develop AI and machine learning solutions for threat detection, anomaly identification, and incident response workflows.
• Build cloud-native services, data pipelines, and reusable frameworks on Google Cloud for model training and inference.
• Integrate AI capabilities with IAM, PAM, SIEM, and SOAR systems to enhance security operations.
• Implement MLOps practices including deployment automation, monitoring, and lifecycle management for AI models.
• Apply secure software development and Zero Trust principles to mitigate risks like prompt injection and data leakage.
• Translate technical and business requirements into scalable engineering solutions in collaboration with cross-functional teams.
• Contribute to architecture decisions and engineering standards for enterprise AI cybersecurity platforms.

What we're looking for

• 8+ years of experience in software engineering building enterprise applications and services using Python.
• 8+ years of experience designing, building, and deploying solutions on Google Cloud or comparable platforms.
• 6+ years of experience developing machine learning, deep learning, and generative AI solutions using LLMs, RAG, and vector databases.
• 6+ years of experience building distributed systems and microservices using Kubernetes, Docker, CI/CD pipelines, MLOps, and APIs.
• 8+ years of experience working with cybersecurity domains including IAM, PAM, IGA, secrets management, and Zero Trust architecture.
• 6+ years of experience with SIEM, SOAR, security operations workflows, and security automation technologies.
• Bachelor’s degree in Computer Science, Engineering, AI, Cybersecurity, Information Security, Data Science, or a related field.
• Must possess valid and unrestricted U.S. work authorization.