Cloud Solution Architecture-Security

Trusted Advisor: Lead customers through secure AI and Security adoption—defining strategy, architecture, and implementation across M365 and Azure Security workloads. AI & Agentic Security: Architect and secure AI workloads, including governance, identity, access, and observability leveraging Agent 365, MDASH, Defender for AI and DSPM for AI. Solution Design & Delivery: Run architecture/design sessions and drive secure-by-design implementations aligned to business outcomes Adoption & Expansion: Drive usage of M365 and Azure Security workloads (Defender stack, Entra, Sentinel, Purview, Agent 365, MDASH); expand security across cloud migrations Execution & Blocker Removal: De-risk deployments, resolve technical barriers, and ensure operational health Customer Impact: Improve security posture with scalable, resilient, and high-performing designs Collaboration: Partner across sales, engineering, services, and partners to deliver end-to-end outcomes Field & Product Feedback: Act as voice of customer to influence roadmap and remove systemic blockers Thought Leadership: Lead on end-to-end security architecture across threat protection, identity, and cloud security Practice Development: Contribute to capability building across CSA community and complex solution delivery Bachelor's degree in computer science, Information Technology, Engineering, Business, Cybersecurity, or related field 5+ years' experience in cloud/infrastructure technologies, cybersecurity, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR equivalent experience. Demonstrated experience securing AI‑powered workloads, including: Identity, access control, and least‑privilege enforcement Data protection and information governance Threat detection, posture management, and incident response for AI systems Hands‑on understanding of agentic architectures, including: AI agents, copilots, or autonomous systems Agent identity, lifecycle, and access management concepts Observability, logging, and behavioural monitoring for autonomous systems Familiarity with AI security architecture patterns, including: Secure model access and isolation Guardrails, policy enforcement, and content safety AI workload discovery and posture management Knowledge of Zero Trust principles applied to AI and agent‑based systems, including identity‑centric security and continuous verification Experience integrating security into CI/CD or platform engineering workflows for AI or automation solutions SC‑100: Cybersecurity Architect SC-200: Security Operations Analyst Associate SC-300: Identity and Access Administrator Associate AZ-500: Azure Security Engineer Associate Strong hands‑on engineering mindset with architectural thinking Ability to reason about risk, trust boundaries, and blast radius in autonomous systems Comfortable working across security, AI, and platform teams Clear communicator who can explain complex AI security concepts to both technical and non‑technical stakeholders Curiosity and adaptability in a rapidly evolving AI and agentic ecosystem Ability to translate security requirements into practical, deployable solutions and work closely with developers, architects, and security teams Ability to engage with CISOs, security architects, and IT leadership Proven customer‑facing delivery experience The technical aptitude and experience to learn new cloud security technologies and understand relevant cloud security market trends.