Salary Range: 131000 to 178000 (Currency: USD) (Pay period: per-year-salary)

WHAT YOU'LL DO:

• Lead secure deployment of LLMs (including on-prem), ensuring encryption and strict access controls. 
• Enforce data protection for sensitive info (PHI, PII, financial data) and ensure compliance with HIPAA and other standards. 
• Embed Responsible AI practices, including safeguards against misuse, jailbreaking, and adversarial threats. 
• Identify and mitigate AI/ML risks throughout the model lifecycle—from development to operations. 
• Secure containerized environments by managing policies, hardening images, and monitoring incidents. 
• Protect AI/ML models from attacks like data poisoning, model extraction, inversion, and jailbreaking. 
• Apply encryption, access controls, anonymization, and de-identification to secure AI/ML pipelines. 
• Collaborate across teams (Data Science, DevOps, IT Security) to embed security in MLOps. 
• Lead security reviews, influence secure design decisions, and clearly communicate risks. 
• Stay current on AI/ML threats, cloud innovations, and AI security research.  

WHAT YOU'LL NEED:

•  5+ years in InfoSec, DevSecOps, or related roles, with experience securing  AI/ML systems. 
• Strong knowledge of OWASP for LLMs and NIST AI RMF; experience with tools like Snyk is a plus. 
• Proficient in Python, with working knowledge of ML libraries like TensorFlow, PyTorch, or scikit-learn. 
• Experience reviewing ML code, securing MLOps pipelines, and integrating security into CI/CD. 
• Skilled in threat modeling and securing fast-moving development environments. 
• Comfortable working with regulated data and implementing privacy protections (HIPAA, GDPR, CCPA). 
• Familiar with Responsible AI practices like content filtering, bias mitigation, and model guardrails. 
• Experience in Agile environments and fast-paced dev cycles. 
• Strong communication skills, with the ability to explain security concepts to all audiences.