Principal Cyber Security Architecture Lead - USA Remote
$175,000–$200,000 year
RemoteUnited States
Job Summary
Develop and maintain comprehensive security architectures, policies, protocols, standards, and guardrails for applications, data pipelines, AI solutions, and critical business systems. Conduct threat modeling, risk validation, and security assessments to identify vulnerabilities across software, infrastructure, data sets, and AI solutions, then define and implement security requirements for enterprise AI deployments including identity and access management, least-privilege controls, and red teaming. Partner closely with cross-functional stakeholders across architecture, engineering, data science, DevOps, AI, privacy, legal, compliance, and business teams to embed security throughout the solution lifecycle and ensure compliance with cybersecurity, data protection, and regulatory requirements before production deployment. Select, implement, and automate enterprise security technologies and monitoring capabilities to strengthen the broader cybersecurity framework. This role reports to the Director of Cyber Architecture, Engineering, & Operations within the Danaher Corporate Information Security organization, with approximately 15% to 20% global travel required.
Required Qualifications
- 7+ years of progressive experience designing and securing on-premises, cloud, and hybrid enterprise architectures
- Strong understanding of secure system design principles
- Deep expertise in enterprise security technologies and practices, including cryptography, secure data storage, secure communications, threat intelligence, vulnerability management, and incident response
- Demonstrated knowledge of AI and machine learning security, including risks associated with large language models (LLMs), generative AI applications, agentic AI systems, prompt flows, data pipelines, model integrations, and enterprise AI platforms
- Experience defining and implementing AI security guardrails and governance frameworks, including identity and access controls, least-privilege principles, data classification, logging, monitoring, red teaming, human-in-the-loop controls, secure agent orchestration, runtime monitoring, and responsible AI governance
- Proficiency in scripting and automation using Python, Bash, PowerShell, or similar technologies to support security monitoring, control validation, automated enforcement, and operational efficiency
- Bachelor's degree in Computer Science, Information Technology, Cybersecurity, or a related field
- Relevant certifications such as CISSP, CISM, GIAC, or cloud security certifications
- Ability to travel – Globally around 15% to 20% of the time, overnight
Desired Qualifications
- Experience implementing security for large-scale AI projects in cloud-native or hybrid environments, including AWS, Azure, or Google Cloud
- Knowledge of AI governance, security posture management, data security posture management, ethical frameworks, and responsible AI principles
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