Cloud Solution Architecture-Security
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Key skills for this role
About the Role
Microsoft seeks a Security Cloud Solution Architect to drive customer security transformation on Azure and Microsoft 365. The role involves leading technical security architecture discussions, designing secure AI workloads, and expanding security adoption.
Key Skills for This Role
Responsibilities
- Lead customers through secure AI and Security adoption—defining strategy, architecture, and implementation across M365 and Azure Security workloads.
- Architect and secure AI workloads, including governance, identity, access, and observability leveraging Agent 365, MDASH, Defender for AI and DSPM for AI.
- Run architecture/design sessions and drive secure by design implementations aligned to business outcomes.
- Drive usage of M365 and Azure Security workloads (Defender stack, Entra, Sentinel, Purview, Agent 365, MDASH); expand security across cloud migrations.
- De risk deployments, resolve technical barriers, and ensure operational health.
- Improve security posture with scalable, resilient, and high performing designs.
- Partner across sales, engineering, services, and partners to deliver end to end outcomes.
- Act as voice of customer to influence roadmap and remove systemic blockers.
- Lead on end to end security architecture across threat protection, identity, and cloud security.
- Contribute to capability building across CSA community and complex solution delivery.
Requirements
- Bachelor's degree in Computer Science, Information Technology, Engineering, Business, Cybersecurity, or related field
- 5+ years experience in cloud/infrastructure technologies, cybersecurity, IT consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR equivalent experience
- Deep understanding of Microsoft security technologies with hands on experience in delivering two or more of: Microsoft Defender, Microsoft Sentinel, Microsoft Entra, Microsoft Purview
- Demonstrated experience securing AI powered workloads including identity, access control, data protection, threat detection, and incident response for AI systems
- Hands on understanding of agentic architectures including AI agents, copilots, or autonomous systems
- Strong customer facing delivery experience and ability to engage with CISO, security architects, and IT leadership
Full Job Posting
Overview
- With over 17,000 employees worldwide, the Microsoft Customer Experience & Success (CE&S) organization is responsible for the strategy, design, and implementation of Microsoft's end to end customer experience.
- We are looking for a highly motivated and passionate Security Cloud Solution Architect (CSA) to drive our customer's security transformation on the Microsoft Azure and Microsoft 365 Platforms.
- This is a customer facing role, owning the security focused technical relationship and strategy between the customer and Microsoft as well customer engagements, including architecture, implementation, and operational health.
Responsibilities
- 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
Qualifications
- 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 develop
- Deep understanding of Microsoft security technologies with hands on experience in delivering two or more of the following Microsoft security solutions: Microsoft Defender, Microsoft Sentinel, Microsoft Entra, Microsoft Purview
- 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
Preferred Qualifications
- Experience with Microsoft Copilot Studio, Azure AI Foundry, or custom AI/agent frameworks secured on Azure or Microsoft 365 platforms
- 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
- Microsoft certifications such as: SC‑100, SC 200, SC 300, AI 900, AZ 500
Core Skills & Attributes
- 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.
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