15h Left Ai Security Engineer

What You ll Do As an AI Security Engineer I4 you will play a critical role in safeguarding the organization s AI and machine learning systems ensuring they are robust against emerging security threats and aligned with privacy and ethical standards You will collaborate with engineering data science and security teams to design assess and improve the security posture of AI systems and the infrastructure that supports them This is a hands-on technical role suited for an experienced engineer with a deep understanding of security principles and practical knowledge of AI ML systems mentation while ensuring secure architectural designs that align with organizational goals and compliance requirements You will report to Director of security team This is a remote role What Your Responsibilities Will Be Role Responsibilities Security Design Architecture Partner with AI ML teams to design secure AI pipelines from data ingestion to model deployment Define and enforce security best practices for training validation and inference environments Evaluate threats unique to AI systems such as adversarial ML data poisoning model inversion and prompt injection Threat Modeling Risk Assessment Conduct threat modeling of AI ML systems and LLM-based applications Identify attack surfaces in foundation models vector databases APIs and model-serving environments Develop and maintain risk mitigation strategies specific to AI systems Security Reviews Testing Perform security reviews and penetration testing of ML pipelines and GenAI applications Support secure integration of LLMs e g OpenAI Claude proprietary models with internal applications Build or use tools to scan for vulnerabilities in ML libraries and frameworks e g TensorFlow PyTorch Detection Response Collaborate with SOC and SIRT teams to develop detection logic for AI-related threats Investigate incidents involving AI misuse hallucinations or exploitation Support red-teaming and tabletop exercises focused on AI risks Governance Compliance Assist in establishing policies for secure AI development and deployment Ensure compliance with AI governance frameworks data privacy regulations e g GDPR CPRA and company standards Advocate for responsible and explainable AI practices Tooling Automation Build or integrate tools for prompt security validation model behavior analysis and abuse detection Automate threat intelligence gathering related to AI attack vectors What You ll Need To Be Successful Minimum Qualifications Bachelor s or master s degree in computer science Information Security AI ML or a related field 5 years of experience in cybersecurity or security engineering including at least 1 2 years working with AI ML systems Strong understanding of machine learning pipelines model lifecycle and AI-specific vulnerabilities Proficiency in Python and familiarity with ML frameworks e g PyTorch TensorFlow scikit-learn Experience with cloud security AWS GCP or Azure particularly in AI ML contexts Familiarity with LLMs vector stores RAG architecture and prompt engineering security considerations Preferred Qualifications Experience in adversarial ML red teaming of LLMs or security research in GenAI contexts Knowledge of AI governance tools and model card documentation Contributions to AI security tooling or participation in AI safety communities Certifications such as OSCP GIAC GCPN GSEC or AI-related credentials LI-Remote How We ll Take Care Of You Total Rewards In addition to a great compensation package paid time off and paid parental leave many Avalara employees are eligible for bonuses Health Wellness Benefits vary by location but generally include private medical life and disability insurance Inclusive culture and diversity Avalara strongly supports diversity equity and inclusion and is committed to integrating them into our business practices and our organizational culture We also have a total of 8 employee-run resource groups each with senior leadership and exec sponsorship Learn more about our benefits by region here