
Empowering every person and organization on the planet to achieve more.
Cloud Solution Architecture -Cloud & AI Infrastructure
Overview:
With more than 45,000 employees and partners worldwide, the Customer Experience and Success (CE&S) organization is on a mission to empower customers to accelerate business value through differentiated customer experiences that leverage Microsoft’s products and services, ignited by our people and culture. CE&S drives cross-company alignment and execution, ensuring we consistently exceed customer expectations across every interaction.
As a Cloud & AI Infrastructure Cloud Solution Architect (CSA) in iCSU, you will partner with Microsoft’s largest and most strategic customers to design, migrate, modernize, and operate secure, resilient, and AIready Azure infrastructure platforms. You will lead customerfunded technical engagements, remove adoption blockers, and drive production outcomes across migration, modernization, security, resiliency, and AI readiness scenarios.
This role enables you to accelerate your technical and leadership growth, deepen your cloud and AI infrastructure expertise, and strengthen your business acumen by linking architectural decisions to measurable customer value, consumption, and longterm success. The role supports hybrid work aligned to customer and business needs.
Company Culture Statement:
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. We embrace a growth mindset, innovate to empower others, and collaborate to realize shared goals. We build a culture of inclusion where everyone can thrive.
Responsibilities-
Own endtoend technical delivery outcomes (Job 1) for Cloud & AI Infrastructure engagements, driving committed milestones to close across migration and modernization initiatives.
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Lead secure, resilient, and scalable Azure infrastructure architectures across landing zones, networking, storage, compute, backup, DR, monitoring, and governance.
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Enable AIready infrastructure by ensuring customer environments meet security, resiliency, data, and performance requirements for AI workloads at scale.
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Drive Job 2 outcomes by identifying next best actions and generating incremental pipeline from every delivery engagement.
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Provide delivery oversight and escalation support for Factory and Unified engagements, ensuring quality, repeatability, and customer satisfaction.
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Partner closely with CSAMs, STUs, engineering, and partners to deliver One Microsoft outcomes following MCEM.
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Contribute to and reuse repeatable IP, reference architectures, and accelerators to improve scale and delivery efficiency.
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Act as the voice of the customer by sharing insights and feedback to influence product and service improvements.
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Maintain deep technical expertise through ongoing skilling, certifications, accreditations, and community participation.
Qualifications-
Bachelor’s Degree in Computer Science, Information Technology, Engineering, Business, or related field AND 6+ years of experience in cloud / infrastructure technologies, IT consulting, systems administration, architecture, or equivalent experience.
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Handson experience with Azure infrastructure services including compute, networking, storage, monitoring, backup, and security.
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Experience delivering migration and modernization projects using Azure Migrate, Cloud Adoption Framework (CAF), Well Architected Framework (WAF), and Landing Zones.
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Knowledge of security and resiliency principles including Defender for Cloud, identity, networking security, and business continuity & disaster recovery.
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Ability to work in customerfacing roles, leading technical discussions with senior IT and business stakeholders.
Preferred Qualifications (PQs)
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10+ years of experience in cloud or infrastructure architecture, consulting, or delivery roles.
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Azure certifications such as Azure Administrator Associate, Azure Solutions Architect Expert, or Security Engineer Associate.
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Experience with hybrid and multicloud scenarios including Azure Arc, AVS, or regulated / sovereign environments.
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Exposure to infrastructureascode using Bicep or Terraform and DevOps practices.
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Experience supporting SAP on Azure, Linux, Windows Server, databases, or missioncritical workloads.
Why Join This Team:
You will join a highimpact iCSU Cloud & AI Infrastructure team working on complex, global customer environments where your work directly influences customer success, AI transformation, and Microsoft Cloud growth. This role offers strong technical depth, leadership exposure, and opportunities to shape repeatable solutions at scale.
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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关于Microsoft

Microsoft
PublicMicrosoft Corporation is an American multinational technology conglomerate headquartered in Redmond, Washington.
10,001+
员工数
Redmond
总部位置
$3000B
企业估值
评价
10条评价
4.4
10条评价
工作生活平衡
3.2
薪酬
4.1
企业文化
4.3
职业发展
3.8
管理层
4.0
82%
推荐率
优点
Cutting-edge technology and innovative projects
Great team culture and collaborative atmosphere
Excellent benefits and competitive compensation
缺点
Heavy workload and frequent overtime
High expectations and stressful environment
Bureaucratic processes can be slow
薪资范围
5,620个数据点
Senior/L5
Senior/L5 · Account Management
5份报告
$209,483
年薪总额
基本工资
$181,941
股票
-
奖金
-
$194,895
$209,483
面试评价
1条评价
难度
4.0
/ 5
时长
14-28周
体验
正面 0%
中性 0%
负面 100%
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
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