AI Agent Security Engineer (MLOps / DevSecOps)

About the job

Role: AI Agent Security Engineer (MLOps / DevSecOps ) Experience: 5–10 years Location: Hyderabad, India Work Mode: Hybrid (3 days/week in-office) Domain: Healthcare / Life Sciences Join Time: Immediate Employment Type: Contract Role Summary: We are seeking a mid-level to senior AI Agent Security Engineer (MLOps / DevSecOps ) to join our Security Architecture team, with a deep focus on AI Security and next-generation Authorization systems. This role involves applying security principles to Machine Learning Operations (MLOps), safeguarding AI models and data pipelines, and designing robust, scalable authorization layers using technologies like API Gateways. The ideal candidate is a hands-on problem-solver with a strong execution mindset and a background in secure software development. Key Responsibilities • Perform security assessments focused on AI/ML workloads, data pipelines, and MLOps platforms. • Track and follow up on remediation efforts, working closely with AI/ML Engineering and Data Science teams to drive closure. • Design and implement fine-grained Authorization controls for sensitive AI endpoints, and secure connectivity using API Gateways. • Coordinate, execute, and manage security testing for AI systems, including model integrity and adversarial attack simulations. • Support secure SDLC and DevSecOps practices, including design reviews for both traditional applications and new MLOps pipelines. • Contribute to the design and development of internal security automation and tooling, requiring a hands-on software development approach. • Contribute to threat modeling exercises for new AI services and identity components. • Enhance identity solutions (IGA/PAM) to manage access for AI service accounts and data access roles. Required Technical Expertise AI/ML Security & Assurance • Experience securing Machine Learning Operations (MLOps) and data science environments. • Familiarity with risks to AI models (e.g., model evasion, poisoning, extraction). • Knowledge of applying security controls to AI data pipelines. Identity, Authorization & API Security • Working knowledge of advanced Authorization frameworks (e.g., OAuth, fine-grained access control). • Direct experience implementing and securing services via API Gateways. • Strong understanding of identity solutions (SSO, IGA, and PAM) in a service-oriented architecture. Application & DevSecOps Security • Understanding of secure SDLC and DevSecOps integration, specifically for microservices. • Solid grasp of OWASP Top 10 and the OWASP LLM and API Security Top 10 • Hands-on Software Development: Demonstrated ability to write and deploy secure code (e.g., Python, Go, or Java) for security tooling or automation. Cloud & Platform Security • Strong understanding of cloud security fundamentals (AWS). • Familiarity with CNAPP and CSPM concepts and tooling. • Threat & Adversary Modeling • Good understanding of threat modeling methodologies. Familiarity with the MITRE ATT&CK framework and how it applies to real-world attacks. 📩 Apply Now! Send your updated resume to careers@sidinformation.com

Requirements

• AI/ML Security
• Authorization frameworks
• Secure SDLC
• Cloud security
• Software Development

Preferred Technologies

• AI/ML Security
• Authorization frameworks
• Secure SDLC
• Cloud security
• Software Development