Ai security

Hi Sir/Madam, This is Bhanu Prakash from Big Language Solutions. Please share me your updated word resume with details. Needed Information:- Full Name:- Email ID:- Phone No:- Current Location:- Current CTC:- Expected CTC:- Willing to Relocate:- Notice Period:- Willing to Work US Shift (Yes or No):- Job Requirement:- Job Description: AI Security & Compliance Engineer Position: AI Security & Compliance Engineer Experience Required: 6–8 Years Location: Noida, India Employment Type: Full-Time About the Role We are seeking an experienced AI Security & Compliance Engineer to ensure the security, governance, and regulatory compliance of AI/ML systems and agentic workflows. The ideal candidate will have strong expertise in AI model security, data protection, compliance frameworks, and responsible AI practices, with hands-on experience implementing policies, controls, and monitoring systems for enterprise-grade AI solutions. This role combines security engineering, compliance oversight, and AI/ML governance, making it central to building trustworthy, secure, and ethical AI systems. Key Responsibilities • Define and implement security controls for AI/ML systems, including LLMs, data pipelines, and agent orchestration layers. • Conduct threat modeling, vulnerability assessments, and penetration testing specific to AI/ML models and data. • Ensure compliance with global regulations (GDPR, HIPAA, SOC 2, ISO 27001, AI Act, NIST AI RMF). • Establish responsible AI practices covering bias, fairness, explainability, and governance. • Work with data engineers and MLOps teams to secure training data, model artifacts, and APIs. • Implement monitoring and anomaly detection for model drift, adversarial attacks, and data poisoning. • Define and manage access control policies, identity management, and data encryption for AI systems. • Collaborate with legal, risk, and compliance teams to align AI usage with regulatory standards. • Conduct audits and security reviews for AI systems before deployment. • Document and enforce policies, standards, and best practices for AI security and compliance. Required Skills & Experience • 6–8 years of professional experience in cybersecurity, compliance, or AI/ML security engineering. • Strong knowledge of AI/ML pipelines, LLMs, and MLOps practices. • Hands-on with security tools (SIEM, vulnerability scanners, SAST/DAST, model security frameworks). • Proficiency in Python or scripting languages for automation and security checks. • Strong understanding of data privacy, encryption, IAM, and key management. • Experience in compliance audits and certifications (SOC2, ISO 27001, HIPAA, GDPR). • Familiarity with AI risks: model inversion, adversarial attacks, prompt injection, data leakage. • Knowledge of cloud-native security (AWS, Azure, GCP) for AI/ML environments. • Strong communication skills to work across engineering, compliance, and executive teams. Preferred Qualifications • Experience with AI security frameworks (MITRE ATLAS, NIST AI RMF, OWASP for LLMs). • Exposure to federated learning, differential privacy, and secure multiparty computation (SMPC). • Familiarity with vector database security and knowledge graph governance. • Certifications: CISSP, CISM, CCSP, or AI ethics/security certifications. • Contributions to AI security research or open-source initiatives. Education • Bachelor’s or Master’s degree in Computer Science, Cybersecurity, AI/ML, or related field. Thanks & Regards, Bhanu Prakash Recruitment Consultant BIG Language Solutions Email:-- m: