AI Agent Security Engineer (MLOps / DevSecOps)

Role: AI Agent Security Engineer (MLOps / DevSecOps )

Experience: 510 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 amid-level to senior AI Agent Security Engineer (MLOps / DevSecOps ) to join our Security Architecture team, with a deep focus onAI 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 likeAPI 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 onAI/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-grainedAuthorizationcontrols for sensitive AI endpoints, and secure connectivity usingAPI Gateways.
• Coordinate, execute, and manage security testing for AI systems, including model integrity and adversarial attack simulations.
• Supportsecure SDLC and DevSecOps practices, including design reviews for both traditional applications and newMLOps pipelines.
• Contribute to the design and development of internal security automation and tooling, requiring ahands-on software developmentapproach.
• Contribute tothreat modeling exercisesfor 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 advancedAuthorization frameworks(e.g., OAuth, fine-grained access control).
• Direct experience implementing and securing services viaAPI 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 ofOWASP Top 10and theOWASP 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 ofthreat modeling methodologies.

Familiarity with theMITRE ATT&CK frameworkand how it applies to real-world attacks.

Apply Now!

Send your updated resume to careers@sidinformation.com