Cadence delivers remote patient monitoring and chronic disease management that improves outcomes and reduces cost at scale. Intelligent senior care that works better by working ahead. Backed by General Catalyst.
About the role
Cadence InfoSec seeking a Security Architect with deep expertise in Artificial Intelligence (AI) and Machine Learning (ML) security to design, implement, and govern secure AI systems across the enterprise. This role will focus on protecting AI/ML models, data pipelines, and GenAI applications from emerging threats while enabling safe innovation. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Bachelor’s or Master’s degree in Computer Science, Cybersecurity, or related field
- 8+ years in cybersecurity architecture or engineering
- Experience securing AI/ML systems or data platforms
- Experience with LLMs (e.g., prompt engineering, RAG architectures)
- Familiarity with adversarial ML techniques
- AI Threat Modeling (Prompt Injection, Data Poisoning, Model Evasion)
More about this role
Cadence InfoSec seeking a Security Architect with deep expertise in Artificial Intelligence (AI) and Machine Learning (ML) security to design, implement, and govern secure AI systems across the enterprise. This role will focus on protecting AI/ML models, data pipelines, and GenAI applications from emerging threats while enabling safe innovation.
Design secure architectures for AI/ML systems, including model training, inference, and deployment pipelines
Define security controls for LLMs (Large Language Models), GenAI platforms, and AI APIs
Embed security into MLOps pipelines (DevSecOps for AI)
Conduct threat modeling for AI systems (e.g., prompt injection, model poisoning, data leakage)
Develop risk frameworks aligned with NIST AI Risk Management Framework
Identify and mitigate adversarial AI threats and abuse cases
Ensure protection of training and inference data (PII, PHI, proprietary data)
Implement data governance, anonymization, and encryption strategies
Ensure compliance with regulations (GDPR, HIPAA, etc.)
Secure AI workloads across cloud platforms such as
Amazon Web Service
Microsoft Azure
Google Cloud
IBM Cloud
Architect secure integrations with AI services and...
Browse similar: AI jobs · AI startup jobs · Startup jobs