As a SecOps Engineer at AI71, you will be instrumental in ensuring the security and operational integrity of our AI-powered solutions. This role involves collaborating closely with engineering, DevOps, and product teams to design, implement, and maintain security controls and best practices that protect our AI models, infrastructure, and client data.
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About Us:
AI71 is an applied research team dedicated to creating helpful and responsible AI agents for knowledge workers. We collaborate closely with our industry partners to develop products grounded in cutting-edge research. Our mission is to transform industries through the responsible deployment of AI, particularly leveraging Large Language Models (LLMs) to empower businesses.
Key Responsibilities:
- Security Monitoring & Incident Response: Develop and manage security monitoring tools to identify and respond to security threats, ensuring minimal disruption to operations.
- LLM Security: Work with AI and DevOps teams to secure the deployment and operation of LLM-based solutions, managing access controls, securing APIs, and ensuring data privacy.
- Vulnerability Management: Identify and mitigate vulnerabilities in infrastructure and AI models, ensuring compliance with best practices and regulatory requirements.
- Cloud Security: Oversee cloud-based AI infrastructure security (AWS, GCP, Azure), implementing measures like encryption and identity management.
- Security Automation: Automate security processes and workflows, integrating security into CI/CD pipelines.
- Compliance & Governance: Collaborate with legal teams to ensure AI deployments meet regulations (e.g., GDPR, HIPAA) and maintain controls for compliance audits.
- Collaboration & Training: Work with cross-functional teams to incorporate security into AI operations and provide training on security best practices.
- Threat Intelligence: Stay updated on emerging security threats and trends in the AI landscape to continuously improve security posture.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Cybersecurity, or related field.
- 4+ years of experience in a SecOps or security engineering role with a focus on cloud environments.
- Proven experience securing AI and machine learning systems, especially involving large-scale LLMs.
- Hands-on experience with cloud platforms (AWS, GCP, Azure) and security best practices.
- Experience with tools such as SIEM, IDS/IPS, firewalls, and incident response.
- Familiarity with compliance frameworks (e.g., GDPR, SOC 2).
- Strong scripting and automation skills (Python, Bash, etc.).
Preferred Qualifications:
- Experience with securing AI/ML models, including access control and auditing.
- Knowledge of ethical AI practices and data privacy issues.
- Certifications in cybersecurity (e.g., CISSP, AWS Certified Security Specialty).
- Familiarity with DevSecOps practices and integrating security into the software development lifecycle (SDLC).
AI71 is committed to diversity and inclusivity in the workplace.
Languages: English proficiency is required; additional language skills are a plus.
