Establish and maintain Enterprise AI solutions and services.
Champion AI use case review and enablement.
Collaborate with all departments to successfully drive the onboarding, deployment and management of new technologies and solutions across the Enterprise.
Maintain and improve Enterprise security requirements and oversight.
Conduct regular security audits and reviews of infrastructure, code repositories and deployment processes.
Monitor compliance with internal security standards, industry best practices, and regulatory requirements (e.g., SOC 2, ISO 27001, NIST).
Document and report findings, recommend remediation, and track resolution through completion.
Develop and maintain security baselines, controls, and metrics for secure IT delivery.
Provide technical input into risk assessments and contribute to threat modeling and security reviews.

Bachelor's degree in Computer Science, Information Security, or a related field (or equivalent work experience).
4+ years of experience in SecOps, application security, or infrastructure security.
Strong hands-on experience with AI solutions.
Familiarity with containerization and orchestration technologies (Docker, Kubernetes).
Proficiency with scripting languages (Python, Bash, etc.) and infrastructure-as-code tools (Terraform, CloudFormation).
Experience conducting audits or assessments aligned to frameworks like SOC 2, NIST, ISO 27001, or CIS Benchmarks.
In-depth knowledge of cloud security (AWS, Azure, or GCP) and security automation practices.
Understanding of vulnerability management, secure coding practices, and application threat modeling.

Technology Compliance Engineer

Key skills