Job Title: Security Engineer
Location: Abu Dhabi, UAE
Company: AI71
About Us: AI71 is an applied research team dedicated to creating helpful and responsible AI agents for knowledge workers. Working closely with our industry partners, our cross-functional teams of AI experts build products grounded in the cutting-edge research of our colleagues from the Technology Innovation Institute (TII). Our mission is to advance AI applications, particularly those utilizing Large Language Models (LLMs), to enable businesses to unlock the full potential of AI. We are looking for a talented Security Engineer to join our team and ensure that our AI-driven solutions are secure, compliant, and resilient from the ground up.
Position Overview: As a Security Engineer, you will play a crucial role in ensuring that the infrastructure, systems, and data involved in our LLM-powered solutions are secure and protected. Working closely with product teams, DevOps, and AI experts, you will design, implement, and maintain security measures that safeguard our AI models, client data, and AI solutions. You will also be instrumental in ensuring that our products adhere to security best practices and regulatory standards while mitigating emerging threats in the rapidly evolving AI space.
Key Responsibilities:
- Security Architecture & Design: Work closely with engineering and AI teams to design secure architectures for LLM-based solutions. Implement security measures to protect sensitive data, including encryption, access control, and secure data storage.
- Threat Detection & Response: Proactively monitor, detect, and respond to security threats across AI systems, infrastructure, and applications. Lead investigations into potential security incidents and ensure timely and effective resolution.
- Vulnerability Management: Conduct regular vulnerability assessments, penetration testing, and security audits on AI systems, APIs, and infrastructure. Collaborate with the engineering team to mitigate and remediate identified vulnerabilities.
- Data Privacy & Compliance: Ensure compliance with relevant data protection regulations such as GDPR, HIPAA, or CCPA. Implement and manage data privacy policies to protect the confidentiality and integrity of client and model data.
- Cloud Security: Oversee the security of cloud-based AI infrastructure (AWS, GCP, Azure). Ensure proper access management, network security, and secure deployment pipelines for LLM applications.
- Security Automation: Automate security monitoring, incident response, and patching processes to reduce manual intervention and enhance system resilience.
- Model Security: Work with AI researchers and engineers to ensure that LLM models are deployed securely and that model integrity is maintained. Implement techniques to protect against model manipulation and adversarial attacks.
- Collaboration & Training: Collaborate with internal teams to integrate security best practices into the AI development lifecycle. Provide training and guidance on security protocols and ensure the team remains informed about emerging threats.
- Documentation & Reporting: Maintain comprehensive security documentation, including risk assessments, incident reports, and security policies. Report on security status and metrics to senior management.
Qualifications:
- Bachelor's or Master’s degree in Computer Science, Cybersecurity, or a related field.
- 5+ years of experience in a security engineering role, with a focus on infrastructure, application, and cloud security.
- Experience securing machine learning models, particularly large-scale LLMs or other AI technologies.
- Strong knowledge of cloud platforms (AWS, GCP, Azure) and cloud security best practices.
- Experience with security tools and practices, including vulnerability scanning, encryption, network security, and incident response.
- Familiarity with AI/ML-specific security challenges, such as model poisoning, adversarial attacks, and data privacy concerns.
- Hands-on experience with security automation tools, SIEM systems, and infrastructure-as-code tools (e.g., Terraform, CloudFormation).
- Strong understanding of regulatory compliance requirements for AI systems and data protection (e.g., GDPR, CCPA, HIPAA).
- Proficiency in scripting languages (e.g., Python, Bash) for automating security tasks and workflows.
- Strong problem-solving skills with a proactive mindset and attention to detail.
Preferred Qualifications:
- Experience with securing AI/ML applications, particularly those involving NLP or LLM technologies.
- Certifications in cybersecurity (e.g., CISSP, AWS Certified Security Specialty, CompTIA Security+).
- Experience with DevSecOps practices and securing CI/CD pipelines.
- Knowledge of AI model explainability, responsible AI practices, and ethical AI standards.
- Familiarity with threat modeling and risk management frameworks.
AI71 is an equal opportunity employer. We embrace diversity and are committed to creating an inclusive environment for all employees.
