Work at DaCodes!
We are a software and high-impact digital transformation firm.
For the past 10 years, we have developed technology and innovation-driven solutions thanks to our team of nearly 300 talented #DaCoders, including developers, architects, UX/UI designers, PMs, QA testers, and more. Our team collaborates on projects with clients across LATAM and the United States, delivering outstanding results.
At DaCodes, you will have the opportunity to accelerate your professional growth, work on diverse projects across multiple industries, and contribute to the design, implementation, and optimization of cloud-based infrastructures.
Our DaCoders play a key role in the success of both our business and our clients. You will be the expert participating in strategic initiatives and will gain exposure to disruptive startups and global brands.
Interested?
We are looking for a
Principal AI Security Engineer
to lead the design, implementation, and continuous improvement of security controls across Generative AI, Large Language Models (LLMs), AI agents, and MLOps ecosystems. This role is ideal for a cybersecurity professional with strong cloud security expertise and hands-on experience securing AI-powered platforms and enterprise-scale environments.
You will partner closely with engineering, platform, compliance, risk, and security teams to establish AI security best practices, implement governance frameworks, reduce attack surfaces, and ensure the responsible adoption of AI technologies across the organization.
The ideal candidate combines deep cybersecurity expertise, cloud-native security knowledge, DevSecOps practices, and a strong understanding of emerging AI threats and mitigation strategies.
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.
Desired Profile
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.
Technical Skills
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.
🚀 Integration into global brands and disruptive startups.
🏠 Remote work/Home office.
📌 If a hybrid or onsite modality is required, you will be informed from the first interview session.
⏰ Schedule aligned with the assigned project/workstream.
📅 Monday to Friday work schedule.
🎂 Day off on your birthday.
🏥 Major medical insurance (applies to Mexico).
❤️ Life insurance (applies to Mexico).
🌎 Multicultural teams.
📚 Access to courses and certifications.
🎤 Meetups with special guests from the IT industry.
🤝 Virtual integration events and communities of interest.
🇺🇸 English classes.
📈 Opportunities across our different business lines.
🏆 Proudly certified as a Great Place to Work.