DaCodes
Principal AI Security Engineer- LATAM & Mexico- English Required
Vaga remota de AI Security Engineer com fit claro de localização do candidato.
Publicada4 de jul. de 2026
Países elegíveis26 países aceitos
Sinal de senioridadeSenior
Modelo de trabalhoRemoto
Locais aceitos para candidatos
Resumo da vaga
Principal AI Security Engineer- LATAM & Mexico- English Required
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
Key Responsibilities
- Design, implement, and maintain security controls for GenAI, LLM, AI Agent, and MLOps platforms.
- Develop AI security guardrails, access controls, prompt protection mechanisms, and data protection strategies.
- Lead AI-focused threat modeling initiatives and proactively identify security risks across AI systems.
- Define and implement controls aligned with:
- NIST AI Risk Management Framework (AI RMF)
- ISO/IEC 42001
- OWASP LLM Top 10
- MITRE ATLAS
- Collaborate with Red Teams and Security Operations teams to perform adversarial testing and security assessments.
- Design incident response procedures and playbooks for AI-related security events.
- Integrate AI platforms with secrets management, identity management, and cloud-native security solutions.
- Deploy and maintain observability and monitoring capabilities for AI applications and model behavior.
- Drive AI governance, security policies, compliance initiatives, and responsible AI adoption.
- Partner with engineering teams to integrate security into CI/CD pipelines and development workflows.
- Develop operational metrics, security reporting, and performance dashboards.
- Participate in on-call rotations supporting critical enterprise platforms.
- Mentor engineers and security professionals while serving as a subject matter expert on AI security.
Details
- NIST AI Risk Management Framework (AI RMF)
- ISO/IEC 42001
- OWASP LLM Top 10
- MITRE ATLAS
Experience
- 6+ years of experience in Cybersecurity, Cloud Security, DevSecOps, Security Engineering, or related disciplines.
- 3+ years of experience working with AI, GenAI, LLM, MLOps, or AI platform security.
- Experience securing enterprise-scale cloud environments.
- Experience designing and implementing security controls for modern distributed systems and cloud-native architectures.
- Experience working with compliance, governance, risk, and audit teams.
AI & Security
- Generative AI Security
- Large Language Model (LLM) Security
- AI Governance & Responsible AI
- AI Threat Modeling
- Adversarial Testing
- Prompt Injection Protection
- Model Security & Risk Management
- AI Attack Surface Reduction
- Security Incident Response
Security Frameworks
- NIST AI RMF
- ISO/IEC 42001
- OWASP LLM Top 10
- MITRE ATLAS
- Security Governance
- Risk Management
- Vulnerability Management
Cloud & Infrastructure
- AWS
- Azure
- Azure OpenAI
- AWS Bedrock
- GCP (preferred)
- Cloud Security Architecture
- CSPM / CNAPP Platforms
- CIEM Solutions
DevSecOps & Automation
- Terraform
- Git
- GitHub
- CI/CD Pipelines
- GitHub Actions
- GitLab CI/CD
- Jenkins
- Infrastructure as Code (IaC)
Development & Data
- Python, Java, Go, C#, or similar programming languages
- API Security
- REST APIs
- Microservices Architecture
- RDBMS Platforms
- Vector Databases
- System Integrations
Operating Systems & Identity
- Linux Administration
- Active Directory
- LDAP
- Secrets Management Solutions
- Identity & Access Management (IAM)
Soft Skills
- Strategic thinking
- Strong analytical and problem-solving skills
- Leadership and mentoring capabilities
- Excellent stakeholder management
- Strong communication skills with technical and non-technical audiences
- Ownership mindset
- Ability to influence security decisions across organizations
- Collaborative and cross-functional teamwork
Education
- Bachelor's degree in Computer Science, Cybersecurity, Information Technology, Engineering, or a related field.
- Relevant security and cloud certifications are highly desirable.
Additional Requirements
- Advanced English (spoken and written) – mandatory.
- Ability to work remotely across distributed teams.
- Availability to collaborate with teams across LATAM and North America.
- Experience in enterprise environments with strong governance and compliance requirements is highly preferred.
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