Axis Communications
Axis Communications
Axis Communications स्वास्थ्य सेवा, लॉजिस्टिक्स और विनिर्माण क्षेत्र के संगठनों के लिए IP-आधारित सुरक्षा तकनीक विकसित करती है। इसके उत्पाद पोर्टफोलियो में नेटवर्क कैमरे, ऑडियो और प्रवेश नियंत्रण प्रणालियाँ, इंटरकॉम, शरीर पर पहने जाने वाले समाधान तथा संबंधित सॉफ़्टवेयर और पेशेवर सेवाएँ शामिल हैं। कंपनी ऐसे एकीकृत और विस्तार योग्य समाधानों पर ध्यान केंद्रित करती है जो वीडियो निगरानी, सुरक्षा संचालन, एज-आधारित विश्लेषण, AI-सहायित वस्तु पहचान और साइबर सुरक्षा को समर्थन देते हैं।

Principal AI Security Engineer

Principal AI Security Engineer focused on securing agentic AI, Microsoft platforms, and enterprise data. The role advances safe AI operations for AXIS Capital in specialty insurance and reinsurance.

विवरण

  • Design and operationalize secure agentic AI capabilities for risk and security operations
  • Build and maintain AI-powered agents for security detection, investigation, and response
  • Identify AI use cases that improve analyst productivity and operational outcomes
  • Assess AI agent performance, accuracy, and reliability in live environments
  • Promote responsible and secure AI use across risk and security functions
  • Apply security controls to Microsoft Copilot, Copilot Studio, and Azure AI Foundry
  • Address AI risks such as data leakage, prompt injection, oversharing, and unauthorized access
  • Create evaluation methods covering accuracy, hallucinations, false positives and negatives, failure modes, explainability, audit logs, and operational impact
  • Maintain human oversight of AI-generated decisions and outcomes
  • Implement and manage protection controls for AI and enterprise data
  • Deploy and optimize Microsoft Purview DLP, Information Protection, and Insider Risk capabilities across Microsoft 365 and AI platforms
  • Configure and refine DLP controls for AI interactions and generated outputs
  • Set access controls, data-handling policies, and audit requirements for AI agents and automated workflows
  • Apply Zero Trust and least-privilege principles to AI-enabled processes
  • Assess and onboard AI tools and agents through a security-first review process
  • Monitor AI platform activity and data use for anomalies, misuse, and policy breaches
  • Assist with incident response and investigations involving AI systems or exposed data
  • Connect AI agent workflows with SIEM/XDR platforms for context enrichment and initial incident triage
  • Support enterprise implementation of AI governance and data security programs
  • Protect sensitive information and enable secure collaboration through data classification and protection standards for emerging AI technologies

आवश्यकताएँ

  • Bachelor’s degree in information technology, cybersecurity, or a related field, or equivalent experience leading enterprise-scale security engineering initiatives
  • At least five years of progressive experience in cybersecurity, data protection, or security engineering
  • Demonstrated experience designing and securing enterprise AI platforms, including Microsoft Copilot, Copilot Studio, and Azure AI Foundry
  • Experience with AI governance, data grounding controls, prompt-injection defenses, and AI risk management
  • Experience developing or overseeing security controls for AI-driven workflows and autonomous or agent-based systems
  • Hands-on expertise in Microsoft Purview, Microsoft 365, Azure, and Entra ID security architecture
  • Experience with Exchange, SharePoint, OneDrive, and Teams, especially for data protection and insider risk
  • Expertise in designing, engineering, and tuning DLP programs at scale
  • Experience with data classification, sensitivity labels, lifecycle management, Insider Risk Management, and Information Protection programs
  • Ability to establish strategy, roadmaps, and reference architectures
  • Ability to lead cross-functional initiatives involving Security, IT, Legal, and business teams
  • Ability to serve as a technical authority and escalation point for complex security issues
  • Proficiency in Python, PowerShell, TypeScript, or comparable languages
  • Experience with secure API integration, Microsoft Graph and security platform APIs, CI/CD, and test automation
  • Experience deploying AI-enabled workflows with Azure Functions, Logic Apps, or similar cloud-native services
  • Experience building automation pipelines for detection, response, and data governance
  • Experience analyzing logs and signals from Microsoft 365, Azure, endpoints, and AI systems
  • Experience supporting detection engineering and threat-informed defense
  • Ability to evaluate risk, prioritize high-impact results, and make technical decisions with incomplete information
  • Ability to mentor junior engineers and strengthen team capability
  • Preferred: knowledge of prompt engineering methods or semantic caching
  • Preferred: familiarity with the OWASP Top 10 for LLMs
  • Preferred: experience with DSPM tools and data leakage or insider threat programs
  • Relevant cybersecurity certifications preferred, including AI-102, AI-900, SC-400, MS-102, CompTIA Security+, and CompTIA SecAI+
  • Master’s degree preferred

लाभ

  • Target incentive compensation tied to corporate and individual performance
  • Medical coverage for employees and families
  • Health and wellness programs
  • Retirement plans
  • Tuition reimbursement
  • Paid vacation
  • Comprehensive competitive benefits package

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