AI Security Engineer - Shared Security Services Engineering

8 - 13 years

13 - 18 Lacs

Posted:3 days ago| Platform: Naukri logo

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Full Time

Job Description

Job Duties: AI Security Engineer contributes to the development of horizontal enterprise level security solutions built by Shared Security Services Engineering Team.As a member of the team, you will be responsible for development, deployment, and maintenance of software security solutions to protect AI resources in the enterprise.Key Responsibilities and Duties Collaborate with AI/ML and Security architecture teams to understand use case requirements, platform security posture and develop software solutions to protect AI applications Design and implement robust security measures to protect AI models from adversarial attacks, prompt injection, and jailbreaking attempts Develop data protection mechanisms to prevent data exposure in AI systems Create and maintain API services for AI security tools using modern frameworks Build and enhance monitoring solutions for AI security posture assessment Collaborate with cross-functional teams to integrate security controls into ML/AI workflows Implement data loss prevention capabilities for sensitive information across various communication channels Document security processes, architecture, and implementation details

Minimum Skills Required: Work Experience 8+ Years required

Technology: Full Stack (Java), React/Angular frameworks, Python or similar programming languages, AI/ML training and inference platforms (e.g., AWS Bedrock, AWS SageMaker), open-source and custom AI/ML models, Data Science tools, Terraform, and Helm charts.Mandatory Skills: 8+ years of full stack development using Java, with hands-on experience in building scalable web applications. Strong foundation in machine learning, including model development, training, and integration into production systems. Capable of delivering end-to-end intelligent solutions by combining robust backend systems with AI-driven features. Experienced with modern frontend frameworks such as React or Angular for creating responsive and user-friendly interfaces. 3+ years' experience in API development based on REST, gRPC methodologies using FastAPI, Spring REST or similar frameworks 3+ years' experience in development and maintenance of cloud native applications using Kubernetes or other container management solutions Experience with development, deployment, performance tuning and maintenance of AI models and applications on cloud platform

Preferred Skills: Well versed in Python programming language including unit testing frameworks such as Pytest will be an added advantage. Good understanding of OWASP top 10 for AI and CISA guidelines for AI development. Preferrable to have a cybersecurity certification such as CISSP or like Understanding of security risks in AI & Gen AI applications related to prompt injection attacks, data leakage, adversarial testing etc. Experience with observability frameworks (OpenTelemetry)

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