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Cloud Solution Architect - Copilot & Agents

Microsoft

Cloud Solution Architect - Copilot & Agents

Microsoft

Switzerland, Zürich, Zürich

·

On-site

·

Full-time

·

4w ago

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. We drive cross-company alignment and execution, ensuring that we consistently exceed customers’ expectations in every interaction, whether in-product, digital, or human-centered. CE&S is responsible for all up services across the company, including consulting, customer success, and support across Microsoft’s portfolio of solutions and products. Join CE&S and help us accelerate AI transformation for our customers and the world.

We are looking for a Cloud Solution Architect (CSA) Copilot & Agents, specializing in AI solutions, who is passionate about driving our customers’ AI transformation journey with M365 Copilot, Copilot Chat, Agents, and Copilot Studio. This is a customer-facing role that serves as a strategic trusted advisor and technical subject matter expert, accelerating AI adoption and change management by creating business value and ROI. This role is flexible in that you can work up to 50% from home.

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.

  • Responsibilities- Be a trusted advisor and drive business value through AI Transformation: Create business value by translating customer challenges into actionable solutions aligned to high ROI customer outcomes. Ensure a seamless, connected experience that fosters satisfaction, loyalty, and long-term value.
  • Drive Customer Success: Lead architectural design, engaging with business and technical decision makers to drive intent and enable sustained usage of M365 Copilot, Copilot Chat, Agents, and securing long-term customer success and renewal.
  • Leverage Agentic AI: Use Copilot prompt engineering and Agent-building expertise to drive AI at scale.
  • Explore growth opportunities: Partner with technical and sales teams to identify opportunities and develop tailored solutions to drive expansion and business value realization.
  • Accelerate Customer AI Transformation Journey: Engage in relevant communities to share expertise, contribute to IP creation, prioritize IP re-use, and learn from others to help accelerate your customer’s AI transformation journey.
  • Embrace a growth mindset: Act as the voice of the customer by proactively sharing insights, feedback, and success stories to inform internal strategy and execution.
  • Learn-it-all: Demonstrate a self-learner mindset through continuous, self-directed learning in areas such as M365 Copilot, Copilot Chat, Agents, business value realization, and adoption and change management. Build and maintain technical readiness aligned to Customer Success Unit (CSU) priorities and corporate initiatives.

Qualifications:

Required Qualifications

Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting

  • OR equivalent experience

Experience with Power Platform:

Experience with M365 Copilot, Agent Builder, Copilot Studio

Preferred Qualifications

  • Experience working in a customer-facing role (e.g., internal and/or external).
  • Experience working on technical projects.
  • Technical Certification in Cloud (e.g., Microsoft 365 Certified: Administrator Expert*, *Azure, Amazon Web Services, Google, security certifications).
  • Familiarity with Azure AI Foundry is a desirable skill
  • French and/or German language fluency is a plus

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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Microsoftについて

Microsoft

Microsoft

Public

Microsoft Corporation is an American multinational technology conglomerate headquartered in Redmond, Washington.

10,001+

従業員数

Redmond

本社所在地

$3000B

企業価値

レビュー

3.8

5件のレビュー

ワークライフバランス

4.1

報酬

4.3

企業文化

3.4

キャリア

3.2

経営陣

3.0

65%

友人に勧める

良い点

Excellent compensation and benefits package

Four-day workweek with improved work-life balance

Supportive managers and teams

改善点

High-pressure environment causing anxiety

Unprofessional interview processes

Limited creative work opportunities

給与レンジ

5,620件のデータ

Senior/L5

Senior/L5 · Account Management

5件のレポート

$209,483

年収総額

基本給

$181,941

ストック

-

ボーナス

-

$194,895

$209,483

面接体験

1件の面接

難易度

4.0

/ 5

期間

14-28週間

体験

ポジティブ 0%

普通 0%

ネガティブ 100%

面接プロセス

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

よくある質問

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Culture Fit