
AI Security
2 days ago
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:-
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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:-- bhanu.prakash@biglanguage.com
m: +918977514667
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