We are looking for a of AI Prisma Air resource with 2 to 6 years of experience for one of our engagements. The resource must work from our Noida office and willing to work on shifts Responsibilities Work experience •2–6 years in cloud security operations and engineering with progressive responsibility in securing enterprise cloud environments across AWS and Azure. •Oversee enterprise-scale cloud security architecture, policy governance, and security operations across AWS and Azure environments. •Lead implementation and management of cloud-native security controls including IAM, security groups, network segmentation, and encryption services. •Manage day-to-day cloud security operations including monitoring, alert triage, incident response, and remediation coordination across AWS and Azure platforms. •Drive cloud security posture improvement using CSPM tools (Wiz, Prisma Cloud, or similar); identify misconfigurations, prioritize findings, and track remediation to closure. •Lead cross-functional teams in cloud security operations, vulnerability management, and compliance initiatives aligned with security standards. •Drive adherence to defined SLAs and KPIs across cloud security operations; track, report, and continuously improve operational metrics and service delivery standards. •Manage and track security incidents, service requests, and change management activities through ITSM/ticketing platforms such as ServiceNow, ensuring timely updates, escalations, and closures. •Architect secure cloud networking solutions: design VPC/VNet topologies, implement transit gateways, Azure Firewall, AWS Network Firewall, and Network Virtual Appliances (NVAs). •Coordinate security incident response across global teams; develop and refine playbooks, SLAs, and escalation procedures for cloud environments. •Develop and maintain executive dashboards presenting cloud security metrics, risk posture, and compliance status to senior leadership. The ideal candidate will: •Demonstrate solid understanding of cloud security architectures across AWS and Azure, with a strong grasp of Zero Trust principles and defense-in-depth strategies. •Design secure cloud topologies, define security governance workflows, and guide risk-based access controls. •Produce clear SOPs, runbooks, security assessment reports, and technical design documents for cloud environments. •Collaborate with compliance, architecture, DevOps, and operations teams to ensure security by design. •Drive continuous improvements via automation, Infrastructure as Code (IaC), and actionable security metrics. •Effectively manage day-to-day security operations while balancing strategic initiatives and stakeholder expectations. •Demonstrate ability to define, monitor, and drive SLA/KPI compliance across security operations, ensuring consistent and measurable service delivery. Mandatory Certification Required: (At least one required; multiple strongly preferred) Core Certifications ·AWS Certified Solutions Architect – Associate ·AZ-500 – Microsoft Certified Azure Security Engineer – Associate ·Wiz Certified Cloud Fundamentals Preferred Advanced Certifications ·AWS Certified Security – Specialty ·Microsoft Certified: Cloud and AI Security Engineer Associate ·Certified Cloud Security Skilled (CCSP) ·Certified Information Systems Security Professional (CISSP). Technical Skills Required: Cloud Networking and Architecture: •Hands-on experience designing AWS VPC architectures: security groups, NACLs, transit gateways, VPC peering, PrivateLink, and Direct Connect. •Proficiency with Azure Virtual Networks (VNets), NSGs, Azure Firewall, User-Defined Routes (UDRs), Application Gateway, and ExpressRoute. •Understanding of hybrid cloud connectivity, micro-segmentation, and secure network architectures across AWS and Azure. •Familiarity with Zero Trust architecture principles and cloud-native security design patterns. Security Operations & Analytics: •Hands-on experience managing day-to-day cloud security operations including monitoring security alerts, triaging incidents, and coordinating remediation activities across AWS and Azure.



•Strong ability to perform security assessments, configuration reviews, and compliance checks within AWS and Azure environments. •Experience investigating findings in cloud environments, conducting root cause analysis, and implementing preventive controls. •Proficiency in reviewing and responding to security findings from CSPM tools (Wiz, Prisma Cloud, or similar) and ensuring timely resolution within defined SLAs. •Experience working with ITSM/ticketing tools such as ServiceNow to log, track, prioritize, and close security incidents and service requests in line with defined SLAs and KPIs. DevSecOps & Automation: •Familiarity with Infrastructure as Code (Terraform, CloudFormation, ARM templates) and integrating security controls into IaC pipelines. •Understanding of CI/CD security integration, container security (Docker, Kubernetes), and API security. •Experience with automation scripting (Python, PowerShell, Lambda, or Azure Functions) to support and improve security operations. Behavioral / team skills •Strong communication and stakeholder management skills, including ability to explain complex security concepts in simple terms. •Analytical mindset with strong problem‑solving and decision‑making skills. •High level of ownership, accountability, and attention to detail. •Ability to handle multiple priorities in fast‑paced cloud and security environments. •Collaborative mindset with a willingness to mentor junior team members. •Proactive, structured, and self-driven approach to work. •Strong documentation and presentation abilities. Qualifications Educational qualifications
• Bachelor’s degree in Computer Science, Information Technology, Information Security, Artificial Intelligence, Data Science, Engineering, or a related discipline.​ •Postgraduate qualification in AI, Cybersecurity, Cloud Computing, or Information Systems is preferred.​ •Equivalent relevant experience in enterprise AI or cybersecurity may be considered.​ Work experience •2–6 years of experience in cybersecurity, cloud security, application security, AI/ML security, or related technology roles.​ •Practical exposure to enterprise AI applications, generative AI services, LLM-enabled applications, AI agents, APIs, and supporting cloud environments.​ •Experience discovering and inventorying sanctioned and unsanctioned AI applications, models, agents, data flows, and associated business owners.​ •Experience identifying Shadow AI usage and supporting risk assessment, governance, policy enforcement, and remediation tracking.​ •Hands-on exposure to inline or API-based protection for AI applications, including inspection of prompts, responses, content, URLs, and sensitive-data movement.​ •Experience supporting AI application security assessments, automated scans, vulnerability reviews, or red-team exercises against AI applications and agents.​ •Ability to analyse findings such as prompt injection, sensitive-data leakage, unsafe content, insecure model or API usage, and excessive agent permissions.​ •Experience documenting findings, creating tickets, tracking remediation, and reporting progress against agreed SLAs and KPIs.​ •Familiarity with Prisma AIRS or comparable AI security, cloud security, API security, DLP, CASB, CSPM, or CNAPP platforms is preferred.​ The ideal candidate will:
• •Understand the enterprise AI lifecycle, from discovery and inventory through development, deployment, runtime protection, monitoring, and governance.​ •Support Prisma AIRS onboarding and day-to-day operations across AI Inventory, AI Runtime Security, AI Red Teaming, AI Supply Chain Security, and related capabilities.​ •Discover AI applications and Shadow AI usage, validate ownership and business purpose,



classify risk, and maintain an accurate enterprise AI inventory.​ •Configure or support inline, API-based, and policy-driven safeguards for AI applications without creating unnecessary disruption to business workflows.​ •Execute or support AI security scans and red-team assessments, review results, validate findings, and coordinate remediation with application, cloud, SOC, and governance teams.​ •Apply working knowledge of LLM and agentic-AI risks, including prompt injection, data leakage, insecure output handling, malicious content, model or supply-chain risk, and excessive agency.​ •Prepare explicit SOPs, runbooks, assessment reports, dashboards, and stakeholder updates.​ •Work independently, manage multiple priorities, communicate clearly, and escalate risks in a timely manner.​ Mandatory Certification Required: (At least one required; multiple strongly preferred) •AI certification – must have at least one recognized AI or generative-AI certification, such as Microsoft Azure AI Fundamentals (AI-900), AWS Certified AI Practitioner, Google Cloud Generative AI Leader, or an equivalent credential.​ •Cloud certification – must have at least one AWS, Microsoft Azure, or Google Cloud certification at foundational or associate level.​ •Palo Alto Networks certification – good to have; Prisma AIRS, Prisma Cloud, or relevant Palo Alto Networks product training/certification is preferred.​ •Additional certifications such as Security+, CEH, CCSP, or CISSP are advantageous but not mandatory.​ Technical Skills Required: Enterprise AI Discovery & Governance:​ •Understanding of enterprise AI, generative AI, LLMs, AI agents, copilots, model endpoints, plugins/tools, and common AI application architectures.​ •Ability to identify, inventory, classify, and maintain records of AI applications, models, agents, datasets, owners, integrations, and business use cases.​ •Knowledge of Shadow AI discovery, risk triage, acceptable-use controls, governance workflows, exception handling, and remediation tracking.​ AI Application & Runtime Security:​ •Working knowledge of Prisma AIRS concepts including AI Inventory, AI Runtime Security, AI Red Teaming, AI Supply Chain Security, AI Gateway, and AI security posture management.​ •Understanding of inline, network-intercept, API-intercept, and gateway-based protection patterns for AI applications.​ •Ability to review prompts, responses, sessions, violations, policies, and security findings related to prompt injection, sensitive-data leakage, malicious URLs/content, unsafe responses, and adversarial manipulation.​ AI Security Testing & Engineering:​ •Exposure to AI application scanning, automated red teaming, adversarial testing, model/artifact scanning, and validation of findings.​ •Familiarity with OWASP Top 10 for LLM Applications, MITRE ATLAS, NIST AI RMF, secure API practices, threat modelling, and vulnerability management.​ •Basic knowledge of Python, REST APIs, JSON, authentication, logging, and integration troubleshooting; familiarity with AI/ML frameworks is desirable.​ Cloud, Operations & Team Skills (Good to have skill):​ •Working knowledge of AWS, Microsoft Azure, or Google Cloud security services, IAM, networking, logging, encryption, and secrets management.​ •Experience with SIEM, SOAR, ITSM, DLP, CASB, CSPM/CNAPP, API security, or DevSecOps tooling is preferred.​ •Strong analytical, documentation, communication, stakeholder-management, ownership, and team-oriented problem-solving skills.​ Behavioral / team skills •Strong communication and stakeholder management skills, including ability to explain complex security concepts in simple terms. •Analytical mindset with strong problem‑solving and decision‑making skills. •High level of ownership, accountability, and attention to detail. •Ability to handle multiple priorities in fast‑paced cloud and security environments. •Collaborative mindset with a willingness to mentor junior team members. •Proactive, structured, and self-driven approach to work. •Strong documentation and presentation abilities.

📌 MDR - AI Security - Prisma Airs - ACON (Noida)
🏢 KPMG India
📍 Noida