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As a Cloud Solution Architect Manager, you will lead a team of people who enable customers to achieve their outcomes, based on their investments in Microsoft technology. Leveraging your business and technical expertise, you will coach the team to ensure customers get value from their MS investments such as M365 Enterprise solutions and Unified support investments. As a CSA Manager, your role is pivotal in driving the success of the AI Business Solutions Customer Success Unit (CSU). You as a people manager, will deliver success through empowerment and accountability by modeling, coaching and caring.
Job Responsibility:
Customer Engagement: Enhance customer engagement by improving account coverage ratios, increasing technical capacity for Copilot and Agents, and ensuring every customer interaction delivers value and drives usage
Strategic Leadership: Lead your team to deliver an end-to-end Copilot journey across Chat, M365 Copilot, Copilot Studio, and Power Platform, ensuring alignment with AI Business Solutions' goals
Team Development: Emphasize skilling and training through programs like Tech Boost, Tech Excel, and Tech Connect. Foster a culture of continuous learning and development within your team to ensure they are equipped with the necessary skills to succeed
Operational Excellence: Focus on operational excellence by aligning technical paths to metrics, ensuring accurate milestone creation based on users and monthly active users, and implementing rigorous execution to drive usage excellence across the portfolio
Performance Measurement: Measure success through key metrics such as MAU or Consumed Revenue, Revenue Impact, and Enhanced Solutions Revenue. Ensure that your team is aligned with these metrics and continuously track progress to maximize impact on revenue
Unified Model Implementation: Use all available engagement opportunities to drive Unified EDE/DE involvement and ensure customers experience a smooth transition throughout their journey.
Account Targeting: Focus on high-growth accounts with targeted efforts and Unified Enhance Solutions. Prioritize impactful accounts aligned with business goals.
People Management: Managers deliver success through empowerment and accountability by modeling, coaching, and caring. Model: Live our culture. Embody our values. Practice our leadership principles. Coach: Define team objectives and outcomes. Enable success across boundaries. Help the team adapt and learn. Care: Attract and retain great people. Know each individual’s capabilities and aspirations. Invest in the growth of others.
Requirements:
Bachelor's Degree in Computer Science, Information Technology (IT), or related field AND 3+ years of operational excellence, delivery management, account management, sales, or vendor management experience OR 5+ years of operational excellence, delivery management, account management, sales, or vendor management experience OR equivalent experience.
Proficient experience in AI and data architectures, including modern agentic systems, retrieval‑augmented generation (RAG), model orchestration, grounding strategies, and end‑to‑end AI solution design across data, compute, and application layers.
Experience and understanding of core AI technical concepts, such as large language models (LLMs), embeddings, vector search, prompt engineering, model evaluation, AI safety, and responsible AI principles, with the ability to apply these concepts in production‑grade systems.
Prior software engineering and cloud architecture background, with experience designing and building scalable, secure, and resilient cloud‑native solutions using modern architectural patterns (microservices, APIs, event‑driven systems) on major cloud platforms.
Demonstrated technical team leadership in an Agile environment, leading high‑performing engineering teams through hands‑on coaching, architecture reviews, backlog prioritization, and iterative delivery of complex technical solutions from concept to production.
Ability to read, speak and write fluent English
Ability to meet Microsoft, customer and / or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire / transfer and every two years thereafter.
Nice to have:
Experience operating in large‑scale, highly regulated enterprise environments, with a strong understanding of compliance, security, and governance requirements (for example data privacy, identity and access management, auditing, and risk controls) when designing and delivering AI‑driven and cloud‑native solutions.
Understanding of Microsoft AI & Agent Platforms such as Microsoft Copilot Studio, Azure AI Foundry, Azure OpenAI Service, Azure AI Search (Vector Search / RAG), Microsoft 365 Copilot extensibility
Prior professional exposure with programming languages such as Python, TypeScript, JavaScript, C# / .NET, Java
Knowledge if Agent Frameworks & Orchestration such as Semantic Kernel, LangChain, LlamaIndex, AutoGen, Custom agent orchestration frameworks
Proficient in Agent Development Tooling such as Microsoft 365 Agents Toolkit, Microsoft 365 Agents SDK, Visual Studio / Visual Studio Code, GitHub (or Azure DevOps), CI/CD pipelines for AI services
Experience with Data & Architecture Foundations such as Retrieval-Augmented Generation (RAG) architectures, Vector databases & embeddings, Microsoft FabricEnterprise data integration patterns, Scalable, multi-tenant architectures
Technical understanding of Agile & Engineering Delivery Tools such as Azure DevOps (Boards, Repos, Pipelines), GitHub (Issues, Projects, Actions), Backlog management & roadmap tooling, CI/CD automation tools including exposure to Jira in enterprise environments or Confluence / Wiki documentation