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Job Title:

Security & AI Governance Specialist

Company: EvonSys

Location: Hyderabad, Telangana

Created: 2025-11-19

Job Type: Full Time

Job Description:

Key ResponsibilitiesCloud, Infrastructure & Configuration AuditsConduct 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 ManagementAssess and monitor security risks in AI systems, including: LLM prompt-injection risksRetrieval augmentation vulnerabilitiesModel drift and adversarial manipulationAPI and model-access abuseReview and validate third-party AI model usage (OpenAI, Azure OpenAI, Anthropic, HuggingFace), including: Log handlingData residencyHIPAA/GDPR alignmentVendor security postureAI Data & Privacy ControlsEnsure training/inference data used by AI systems adhere to: Data minimizationMasking/tokenization standardsRetention & deletion controlsSupport DPIAs / AI Impact Assessments, ensuring AI agents and models meet regulatory expectations (GDPR, DPDP 2023, SL-PDPA).AI Governance & Compliance AlignmentWork with the AI CoE to ensure all AI systems follow: ISO/IEC 42001 AI Management System guidelinesAI Model & Agent Register updatesTraceability + versioning + auditabilityParticipate in evaluating AI product features, model APIs, and agentic workflows for compliance before deployment.AI Incident Response & MonitoringContribute to the AI incident-response process by monitoring: HallucinationsPolicy violationsUnexpected model behaviorsBias or harmful outputsSupport the definition of AI SLOs (latency, drift thresholds, failure triggers)

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