Salary
💰 $100,000 - $135,000 per year
Job Level
Mid-LevelSenior
Tech Stack
AWSCloudPythonTerraform
About the role
- Engineer and implement AI and Privacy controls across systems and services
- Develop AI governance program using policy-as-code and industry standards (e.g., ISO 27001)
- Perform technical control and risk assessments on new and existing AI systems
- Advise engineering teams on secure architecture and design patterns for AI/ML
- Support regular security audits and vulnerability assessments of AI systems with Information Security
- Translate AI policies and privacy requirements into automated technical controls
- Partner with Engineering, Data Science, MLOps, and Data Governance to design privacy-enhancing technologies and data governance controls
- Lead selection and management of GRC tooling to monitor AI systems and automate evidence collection
- Contribute to overall security and data strategy and stay abreast of AI security and privacy best practices
Requirements
- Bachelor's degree in Computer Science, Information Technology, or a related field
- 3 - 5+ years of experience in a GRC, Information Security, or Cloud Security role
- A self-starter mentality with the ability to work autonomously, manage competing priorities, and drive projects to completion in a fast-paced environment
- Demonstrable experience implementing security controls for AI/ML systems and a strong understanding of privacy principles
- Proficiency in a scripting language (e.g., Python) for automating compliance tasks
- Experience with policy-as-code (PaC) concepts and tools (e.g., Open Policy Agent)
- Strong understanding of cloud infrastructure management (ie: AWS), including networking, security groups, and IAM roles
- Proven track record of working with security and privacy frameworks such as ISO 27001, PCI DSS, SOC 2, or US Data Privacy laws
- Excellent communication and interpersonal skills
- Experience with GRC and ticketing tools (Vanta, Jira) or Infrastructure-as-Code tools like Terraform is a plus