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Cloud Solution Architect - AI Apps

Job in Redmond, King County, Washington, 98053, USA
Listing for: Microsoft Corporation
Full Time position
Listed on 2026-07-12
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Architect
Job Description & How to Apply Below
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 seeking Cloud Solution Architects to help customers design, build, and scale production-grade AI applications and intelligent agents. In this role, you will drive measurable customer outcomes by applying deep expertise in Generative AI, agent-based architectures, and modern AI application development. You will lead technical engagements across customers and internal stakeholders, translating complex business challenges into scalable, production-ready AI solutions.

In this global role, you will focus on scaling repeatable delivery patterns, contributing field insights and providing technical thought leadership, while influencing the product roadmap through structured feedback to Engineering. In parallel, you will elevate field capability by partnering across teams to grow expertise in AI application and agent development, driving technical intensity and consistency at scale.

This opportunity will accelerate your career by deepening your expertise in AI application architecture, agentic systems, and large-scale delivery models, while strengthening your leadership across complex, global technical programmes and customer transformation initiatives.

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

* Customer-Centric Approach

* Develop a deep understanding of customers' business priorities, application landscape, and AI readiness, linking technology decisions to measurable outcomes.
• Design and deliver AI application and Agent-based solutions that create tangible business value.
• Drive scalable delivery through structured technical programme leadership, leveraging a factory-based approach to create visibility, demand, and execution consistency across regions.

* Ensure solution excellence by delivering production-grade solution accelerators that meet requirements for performance, security, scalability, reliability, and reusability.

* Capture and synthesise insights from customers and partners to continuously improve delivery patterns and solution quality.

* Business Impact

* Drive consumption and value realisation by identifying opportunities to expand customer adoption of AI applications and Agents across their estate.
• Unblock complex customer challenges by applying deep technical expertise and leveraging best practices and reference architectures.
• Build and scale reusable assets, patterns, and IP that accelerate delivery velocity, reduce time to production, and maximise customer value from AI investments.

* Architect end-to-end AI solutions, translating business requirements into scalable architectures, guiding customers from ideation (POC/MVP) through to enterprise-grade production deployments.

* Technical Leadership

* Champion customer needs by providing structured feedback to Engineering, influencing platform capabilities, roadmap direction, and feature prioritisation-particularly across AI apps, agents, and model lifecycle.
• Act as a technical thought leader in AI applications and Agentic systems, staying ahead of industry trends and advancing adoption of modern design patterns
• Scale impact across the field by sharing…
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