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Security & AI Governance Specialist

EvonSys

2 - 5 years

Hyderabad

Posted: 17/12/2025

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Job Description

Key Responsibilities


Cloud, Infrastructure & Configuration Audits

  • Conduct configuration and security posture audits across on-premise, hybrid, and multi-cloud environments (AWS, Azure, GCP).
  • Perform technical security assessments aligned with NIST , ISO 27001:2022 , SOC 2 , and CIS Benchmarks .
  • Review IaC (Terraform/Ansible/CloudFormation) and Kubernetes clusters to detect misconfigurations and enforce hardening baselines.
  • Perform API security reviews aligned to OWASP API Top 10 .


AI Security, Data Protection & Responsible AI Controls (New Requirements)

As EvonSys integrates AI across products and internal processes, this role will directly support the secure and compliant operation of AI/ML systems.

AI Security & Model Risk Management

  • Assess and monitor security risks in AI systems, including:
  • LLM prompt-injection risks
  • Retrieval augmentation vulnerabilities
  • Model drift and adversarial manipulation
  • API and model-access abuse
  • Review and validate third-party AI model usage (OpenAI, Azure OpenAI, Anthropic, HuggingFace), including:
  • Log handling
  • Data residency
  • HIPAA/GDPR alignment
  • Vendor security posture

AI Data & Privacy Controls

  • Ensure training/inference data used by AI systems adhere to:
  • Data minimization
  • Masking/tokenization standards
  • Retention & deletion controls
  • Support DPIAs / AI Impact Assessments , ensuring AI agents and models meet regulatory expectations (GDPR, DPDP 2023, SL-PDPA).

AI Governance & Compliance Alignment

  • Work with the AI CoE to ensure all AI systems follow:
  • ISO/IEC 42001 AI Management System guidelines
  • AI Model & Agent Register updates
  • Traceability + versioning + auditability
  • Participate in evaluating AI product features, model APIs, and agentic workflows for compliance before deployment.

AI Incident Response & Monitoring

  • Contribute to the AI incident-response process by monitoring:
  • Hallucinations
  • Policy violations
  • Unexpected model behaviors
  • Bias or harmful outputs
  • Support the definition of AI SLOs (latency, drift thresholds, failure triggers)

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