AWS Security AI Automation, Hybrid , sal up To 23 lpa

Role: AWS Security Engineer (AI & Automation) Services Experience: 57 Years sal up to 23 lpa Employment Type: Permanent Work Location: Chennai / Bangalore Work Mode: 5 Days Working Shift Timing: 2:00 PM 11:00 PM Role Summary The AWS Security Engineer (AI & Automation) will carry the full scope of the AWS Security Engineer role and additionally lead the design and delivery of AI-driven automation, dashboards, and agentic tooling to accelerate USANAs cybersecurity operations and upskill the in-house team. The role includes: Security Automation & Orchestration Design and build security automation and orchestration workflows using AWS-native services (Lambda, EventBridge, Step Functions) and SOAR patterns. Automate repetitive security operations tasks to reduce manual effort and rework. Develop and maintain reusable automation components and runbooks. should have True Foundry experience AI-Driven Dashboards & Reporting Build dashboards against cybersecurity tool sets incidents, threat intelligence, and vulnerability data to give the cyber team actionable, consolidated visibility. Replace manual, ad-hoc dashboard building with maintainable, automated reporting pipelines. Iterate on dashboards based on stakeholder feedback and evolving operational needs. Agentic & GenAI Tooling for Security Operations Design and build AI agents and assistants (using approved enterprise tools such as Claude Enterprise) to support alert triage, summarization, and investigation acceleration. Enforce strict entitlement and access controls per dataset for any conversational agent querying sensitive cyber data, ensuring least-privilege access aligned with USANAs data sensitivity requirements. Validate agent outputs and guardrails before operational use. AIOps & ML-Based Anomaly Detection Apply AIOps and machine-learning techniques to detect anomalies and surface high-priority signals across security telemetry. Tune models and detection logic to reduce noise and improve fidelity. Event-Driven Auto-Remediation & Guardrails Implement event-driven auto-remediation and preventive guardrails for common cloud security misconfigurations and policy violations. Ensure automated actions operate within approved change-control and safety boundaries. Detection-as-Code & CI/CD Security Automation Implement detection-as-code practices and embed automated security checks into CI/CD pipelines. Version-control detections, automations, and guardrails for auditability and repeatability. Security Telemetry Data Pipelines Build and maintain data pipelines that aggregate security telemetry for analytics, dashboards, and AI workflows. Ensure data quality, normalization, and access governance across pipeline stages. Team Enablement & Upskilling Upskill USANAs cyber team on AI-assisted security tooling, automation practices, and dashboard development. Document tooling, share best practices, and reduce dependency on manual processes. Please call varsha 7200847046 for more info Regards varsha 7200847046 Role: AWS Security Engineer (AI & Automation) Services Experience: 57 Years sal up to 23 lpa Employment Type: Permanent Work Location: Chennai / Bangalore Work Mode: 5 Days Working Shift Timing: 2:00 PM 11:00 PM Role Summary The AWS Security Engineer (AI & Automation) will carry the full scope of the AWS Security Engineer role and additionally lead the design and delivery of AI-driven automation, dashboards, and agentic tooling to accelerate USANAs cybersecurity operations and upskill the in-house team. The role includes: Security Automation & Orchestration Design and build security automation and orchestration workflows using AWS-native services (Lambda, EventBridge, Step Functions) and SOAR patterns. Automate repetitive security operations tasks to reduce manual effort and rework. Develop and maintain reusable automation components and runbooks. should have True Foundry experience AI-Driven Dashboards & Reporting Build dashboards against cybersecurity tool sets incidents, threat intelligence, and vulnerability data to give the cyber team actionable, consolidated visibility. Replace manual, ad-hoc dashboard building with maintainable, automated reporting pipelines. Iterate on dashboards based on stakeholder feedback and evolving operational needs. Agentic & GenAI Tooling for Security Operations Design and build AI agents and assistants (using approved enterprise tools such as Claude Enterprise) to support alert triage, summarization, and investigation acceleration. Enforce strict entitlement and access controls per dataset for any conversational agent querying sensitive cyber data, ensuring least-privilege access aligned with USANAs data sensitivity requirements. Validate agent outputs and guardrails before operational use. AIOps & ML-Based Anomaly Detection Apply AIOps and machine-learning techniques to detect anomalies and surface high-priority signals across security telemetry. Tune mode