Description
Accountabilities
- Design secure cloud architectures: Lead the design, implementation, and continuous improvement of secure AWS environments, ensuring infrastructure and applications meet organizational security standards.
- Establish security guardrails: Develop and enforce cloud security policies and standards covering identity and access management (IAM), network segmentation, encryption, logging, and other critical controls.
- Implement Zero Trust principles: Apply Zero Trust architecture across cloud-native systems, user endpoints, identity workflows, and access management processes.
- Secure cloud workloads: Protect containerized and serverless environments, including Kubernetes, Docker, Amazon ECS, and AWS Lambda, and assess existing implementations to prioritize remediation of security weaknesses.
- Strengthen workforce security: Improve endpoint security, identity lifecycle management, privileged access management (PAM), and secure virtual desktop infrastructure (VDI) supporting access to protected health information (PHI).
- Secure AI and machine learning systems: Define security controls for AI/ML and generative AI applications, addressing threats such as prompt injection, model poisoning, data leakage, and adversarial attacks.
- Protect autonomous AI workflows: Develop security approaches for agentic AI systems, including autonomous workflows and decision-making agents, and collaborate with data science teams to embed security throughout the model development life
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