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# Senior Cloud Solution Architect, Code-With Engineering, Partner Solutions

- **Company:** Microsoft
- **Location:** Redmond, WA, United States
- **Experience:** Expert
- **Salary:** $106,400.0 - $203,600.0
- **Contract:** Permanent contract
- **Skills:** C (Programming Language), Java (Programming Language), JavaScript (Programming Language), Artificial Intelligence, Software Applications, Automation of Tests, C Sharp (Programming Language), C++ (Programming Language), Cloud Computing, Code Review, Continuous Integration, Data Infrastructure, Software Debugging, Programming Tools, Python (Programming Language), Open Source Technology, Software Engineering, Systems Integration, TypeScript, Microsoft Agent Framework, Computer Network Operations, Large Language Models, Multi-Agent Systems, IT Architecture, Generative AI, Agentic-AI, AI Platforms, Information Technology, Invoking Functions, Model Context Protocol, Semantic Kernel
- **Published:** October 16, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3451625996&tx=VT6863TTI&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Bachelor's Degree in Computer Science, Information Technology or related technical field AND
 * 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python AND
 * 4+ years 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, * Bachelor's degree in computer science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
 * OR Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
 * AND 6+ years of 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
 * 4+ years of experience working in a customer-facing role (e.g., internal and/or external)
 * 4+ years of experience working on technical projects
 * Microsoft certifications in Data Platform and/or Artificial Intelligence are highly valued
 * Experience shipping Large Language Model (LLM)-powered or agentic applications to production, preferably in Python and/or TypeScript
 * Experience with agentic patterns and tooling, such as Model Context Protocol (MCP), tool and function calling, multi-agent orchestration (e.g., Azure AI Foundry Agent Service, Microsoft Agent Framework / Semantic Kernel), Retrieval-Augmented Generation (RAG), and agent evaluation and observability
 * Experience co-developing with external engineering teams (partners, customers, or open-source communities), including pairing, code reviews, and knowledge transfer
 * Experience applying Responsible AI and security practices to AI systems, such as red-teaming, content safety, evaluations, and threat modeling

Cloud Solution Architecture IC4 - The typical base pay range for this role across the U.S. is USD $106,400 - $203,600 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $137,600 - $222,600 per year.

## Description

* Enable partners to design, build, test, and deploy production-ready AI-powered applications, agents, services, integrations, and workflows using Microsoft AI platforms
 * Provide architecture guidance and hands-on technical enablement across AI workloads, helping partners address solution design, readiness, governance, security, privacy, and Responsible AI requirements
 * Guide partners in evolving traditional applications into AI-powered, agent-based, and conversational experiences and developing repeatable, transactable solutions that deliver measurable business outcomes
 * Apply solid software engineering practices, including code reviews, automated testing, continuous integration and continuous delivery (CI/CD), observability, documentation, and operational readiness
 * Use AI-assisted and agentic development tools throughout the software development lifecycle to support development, testing, debugging, experimentation, and delivery
 * Build reusable components, accelerators, and engineering patterns that enable successful solutions to scale across partners, teams, and transformation scenarios, while applying emerging AI technologies to evolving business and technical needs
 * Embody our Culture and Values