Job Description

Overview

We are looking for a Cloud Solution Architect (CSA) to help customers move AI applications and agents from experimentation to production on Azure. In this customer-facing role, you will lead technical engagements across architecture design, proof of concepts, pilots, and production milestones, accelerating adoption of Azure AI Foundry, Agent Factory, GitHub, app platforms, and supporting data services. As part of the Cloud and AI Apps team, you will use repeatable IP, templates, agents, Factory, Unified VAS, and Acceleration Programs to deliver scalable outcomes, generate incremental pipeline, and improve customer time-to-value. You will help ensure customer health, resiliency, sovereignty, security, capacity, and optimization for mission-critical workloads, while contributing feedback and reusable assets that improve delivery quality at scale.

In line with our Flexible Work approach, for roles at Microsoft Germany, we recommend spending at least two days per week in the office or at the customer site.

Responsibilities

• Engage with customer IT and business leaders to understand their application, agent, data, and AI priorities, and design secure, scalable solutions that drive business value, customer confidence, and production adoption.
• Lead technical engagements across architecture design, proof of concepts, pilots, and production milestones to accelerate adoption of Azure AI Foundry, Agent Factory, GitHub, app platforms, integration services, and supporting data services.
• Own end-to-end technical delivery results for dispatched engagements, consumption plans, customer success plans, and workload-level RACIs are complete, accurate, and feasible for delivery.
• Use and contribute repeatable IP, templates, frameworks, agents, and centralized IP development to achieve targeted MCEM outcomes, accelerate ACR, and improve scalable delivery quality.
• Provide delivery oversight and escalation support for key Factory engagements across AI Apps, agents, and app innovation projects, using Factory as a delivery differentiator to accelerate time-to-value.
• Lead the health, resiliency, sovereignty, security, capacity management, and optimization of mission-critical workloads, including service and model retirements, to ensure readiness for production-scale AI and agent use cases.
• Act as the Voice of the Customer by sharing adoption issues, capacity constraints, product gaps, deployment blockers, platform readiness feedback, and preview limitations with engineering teams to accelerate resolution and improve product outcomes.
• Support customer and partner skilling through technical workshops, readiness activities, and guidance on AI Apps, agents, GitHub, app modernization, resiliency, and production readiness.
• Maintain deep technical expertise and stay current with Azure, AI, GitHub, and cloud-native development trends, while contributing to internal and external technical communities.
• Maintain deep technical expertise in Azure AI Foundry, Copilot Studio, Agent365, Microsoft IQs, GitHub Copilot, GitHub Platform, app platforms, containers, serverless, integration services, DevOps, and supporting data and customer health workloads, while contributing to internal and external technical communities.
• Demonstrate a growth mindset by continuously aligning your skills to customer needs, contributing to knowledge sharing, and mentoring others to accelerate customer outcomes.

Qualifications

• Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND multiple years experience in AI, GitHub, Agentic DevOps, AI Agent development, cloud, developer, application platform, agents, or related technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting
• OR Master's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND multiple years experience in AI, GitHub, Agentic DevOps, AI Agent development, cloud, developer, application platform, agents, or related technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting
• OR equivalent experience
• Proven experience working in a customer-facing role (e.g., internal and/or external).
• Proven experience experience working on technical projects
• Technical Certification in AI, Cloud, Developer or Agents (e.g., Azure, Amazon Web Services, Google, GitHub, AI, Agents, Security certifications)
• Proficiency in both spoken and written communication in English and German (C1 or above)

Cloud Solution Architecture IC4 - The typical base pay range for this role across Germany is € 81,500.00 - € 139,200.00 per year. Certain roles may be eligible for benefits and other compensation.

Find additional benefits and pay information here:

https://careers.microsoft.com/v2/global/en/corporate-pay/germany-corporate-pay.html

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.