Senior AI & Cloud Security Architect

Edwards Lifesciences Gruppe; United States; Remote; USD 140,000 - 210,000; Full time

Job summary

Edwards Lifesciences is seeking an experienced Information Security Architect to lead design, implementation, operation and maintenance of security technologies across cloud and on-premises environments. You will drive secure architectures for AI-enabled solutions, mentor teams, and partner with business units.

Ideal candidates bring extensive cloud security experience (AWS/Azure), expertise in Databricks and Snowflake, and a strong track record in threat modeling and secure DevOps practices.

Qualifications

• Bachelor's Degree in a related field.
• 8 years of related cybersecurity experience.
• Experience securing Snowflake and Databricks environments.
• Strong knowledge across multiple cyber security domains (cloud, infrastructure, data, identity).
• Experience designing secure architectures for LLMs, generative AI, RAG pipelines, and autonomous AI agents.

Responsibilities

• Lead design and implementation of security architectures for cloud and on-premise systems.
• Provide enterprise security guidance across AI, data security, and cloud platforms.
• Serve as technical lead on security controls and solutions across projects.
• Deliver secure architecture patterns and maintain documentation.
• Collaborate with business units as a security advisor.

Skills

Security architecture

AI security

Threat modeling STRIDE

Secure DevOps

Mentoring

Architectural leadership

Cloud platform security (AWS/Azure)

Technical liaison

Education

Bachelor's Degree in related field

Tools

Databricks

Snowflake

AWS

Azure

Job description

Edwards Lifesciences is seeking an experienced Information Security Architect to lead design, implementation, operation and maintenance of security technologies across cloud and on-premises environments. You will drive secure architectures for AI-enabled solutions, mentor teams, and partner with business units.

Ideal candidates bring extensive cloud security experience (AWS/Azure), expertise in Databricks and Snowflake, and a strong track record in threat modeling and secure DevOps practices.