Senior Data Security Architect, AI & AWS Cloud

Innovation starts from the heart. At Edwards Lifesciences, we’re dedicated to developing ground-breaking technologies with a genuine impact on patients’ lives. At the core of this commitment is our investment in cutting-edge information technology. This supports our innovation and collaboration on a global scale, enabling our diverse teams to optimize both efficiency and success. As part of our IT team, your expertise and commitment will help facilitate our patient-focused mission by developing and enhancing technological solutions.

Lead the design, implementation, operation and maintenance of the Information Security technologies, including of scalable security architectures that enable Edwards to securely adopt solutions including emerging GenAI technologies. Ideal candidates possess broad and deep technical knowledge in Security Solution Architecture, Cloud Security Architecture and in AI Security practice.

How you will make an impact:

• •Experience with infrastructure security of cloud platforms such as AWS and/or Azure.
• •Provide design and architecture guidance for enterprise level security initiatives, system integration, and tools including into AI and Data Security (Databricks, Snowflake) domains.

• •Serve as technical lead in design and build of multiple cyber security controls or solutions, processes and functions.
• •Design and maintain secure architecture frameworks and patterns for solutions.
• •Delivering and collaborating throughout a delivery project life cycle from project management and architecture design to installation, configuration and documentation of security solutions.
• •Serve as a business liaison and advisor for one or more business units

• What you'll need (Required):
• •Bachelor's Degree in related field.

8 years of previous related experience

What else we look for (Preferred):

Experience in securing Snowflake and Databricks environments, with the ability to review configurations, define secure-by-default patterns, and advise data engineering teams.

Experience and/or understanding of at least 3 cyber security domains (e.g., platform security, application security, network security, infrastructure, cloud security, data security and identity and access management).

Strong experience in designing secure architectures for LLMs, generative AI systems, RAG pipelines, and autonomous AI agents across different vendor offerings.

Knowledge of threat modeling with STRIDE methodology.

Understand AI threats and mitigation techniques such as OWASP Top 10 AI frameworks.

Understand mitigating supply chain risks and attacks for AI security solutions.

Understandings of secure DevOps against AI-specific attacks.

Experience drafting technical documentation

Excellent organization and time management skills

Excellent verbal and written communication skills and customer focused skills

Experience drafting technical documentation

Recognized as an expert in own area within the organization while applying broad-based technical expertise and has full knowledge of other related disciplines

Ability to transform technical solutions into well documented build guides escalate issues to appropriate levels of management in the organization

Ability to mentor colleagues and provide appropriate guidance for their success

Strict attention to detail.

Ability to interact professionally with all organizational levels and proactively escalate issues to appropriate levels of management in the organization

Ability to manage competing priorities in a fast paced environment

Adhere to all company rules and requirements (e.g., pandemic protocols, Environmental Health & Safety rules) and take adequate control measures in preventing injuries to themselves and others as well as to the protection of environment and prevention of pollution under their span of influence/control