remote
Principal Architect, AI-Native Security - World Wide Technology
Software Engineer
Lead the design of AI‑native security solutions, building agentic machine‑learning systems while proactively identifying and mitigating their attack surfaces using modern AI development tools.
About the role
Key Responsibilities
- Architect end‑to‑end AI‑native security platforms that integrate advanced machine‑learning models with robust security controls.
- Design, prototype, and validate agentic AI systems, leveraging AI‑assisted development tools to accelerate proof‑of‑concepts.
- Identify and remediate attack vectors specific to AI/ML pipelines, ensuring threat models cover data, model, and inference stages.
- Collaborate with cross‑functional teams—cloud, data, and product engineering—to embed security best practices throughout the solution lifecycle.
- Stay ahead of emerging AI security trends, evaluate new technologies, and champion innovative security approaches within the organization.
Requirements
- 8–12 years of experience in solutions architecture with a strong focus on AI/ML and security domains.
- Deep expertise in designing and securing machine‑learning pipelines, including model training, deployment, and monitoring.
- Proficiency in Python and modern AI frameworks (e.g., TensorFlow, PyTorch) and familiarity with cloud platforms such as AWS, Azure, or GCP.
- Hands‑on experience using AI‑assisted development tools and implementing security controls in AI environments.
- Demonstrated ability to communicate complex security concepts to technical and non‑technical stakeholders and to lead cross‑disciplinary initiatives.
Skills
machine learningpython