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As a Cloud Solution Architect (IC4) for Cloud & AI Apps, you will help customers take AI-powered applications from concept to production scale on Azure. In this customer-facing role, you will lead technical engagements across design, build, and operations, remove blockers, and accelerate adoption of Azure AI services, the Azure application platform, GitHub/Copilot, and modern data stores.

You will be the accountable technical leader for AI application scenarios—driving delivery excellence with repeatable IP and landing secure, reliable, and cost-optimized solutions.

You will collaborate closely with business and technical stakeholders—from executives to developers—to define target outcomes, architect the solution, and guide it into production. The role emphasizes the “Innovate with AI Apps & Agents” solution play, leveraging Unified delivery and Factory engagement models to scale impact and accelerate consumption while maintaining high customer satisfaction.

Required:

- Proven experience designing and delivering cloud‑native application solutions at scale, with hands‑on use of Azure AI services (Azure OpenAI / Azure AI Foundry), GitHub/Copilot, and Azure app platform services.

- Ability to lead delivery to production and drive adoption using repeatable IP and Unified/Factory constructs aligned to business outcomes.

- Strong grasp of secure, resilient, and optimized architecture practices for AI apps (Well‑Architected Framework, AI/infra landing zones).

- Excellent communication and stakeholder management skills.

- Certifications: AI‑102, AZ‑204, AZ‑400, plus AZ‑305 for Azure fluency.

Preferred:

- Depth in AKS, Cosmos DB, event‑driven patterns, and GitHub Advanced Security.

- Familiarity with MCEM stages and Unified execution patterns.

- Contribution to communities and reusable IP; demonstrated growth mindset.

- Experience coordinating partners and/or program delivery across multiple customers.

Company Culture Statement

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Own delivery to committed production milestones (Job 1) across assigned accounts, ensuring production readiness, reliability, resiliency, security, and optimization of mission‑critical workloads.

Drive next‑best actions and incremental pipeline (Job 2), using Unified Enhanced Solutions where applicable, and contribute to accurate Azure consumption and success plans.

Lead architectural design sessions and hands‑on technical delivery for AI application scenarios (Azure OpenAI / Azure AI Foundry, GitHub/Copilot, AKS, App Services, serverless, managed databases).

Remove technical blockers, apply best practices, and engage engineering as needed to accelerate service adoption.

Apply repeatable IP and delivery best practices; contribute back to reusable assets, communities, and field guidance to scale impact.

Provide Unified/Factory oversight and escalation, maximizing leverage of programmatic delivery engines and ensuring delivery excellence and customer satisfaction.

Champion secure‑by‑design and well‑architected solutions, applying landing zone patterns, resiliency‑by‑design, DevSecOps, and cost optimization for AI apps.

Lead customer health and resiliency motions (including security posture), support AI design wins and Copilot onboarding, and ensure clarity of orchestration within the MCEM framework.

Partner with CSAMs, Specialists, Engineering, and Partner teams to align on outcomes, landing plans, risks, and next best actions.

Maintain technical intensity through continuous skilling, certifications, and hands‑on labs aligned to Cloud & AI Apps priorities.