Job description

Overview Are you passionate about helping partners turn advances in AI into secure, scalable solutions that deliver measurable business impact? The Americas Enterprise Partner Solutions organization works with partners to develop differentiated solutions and offerings using Microsoft Cloud and AI technologies. As a Senior Cloud Solution Architect, Code-With Engineering, Partner Solutions on the co-engineering team, you will help accelerate partner-led AI adoption by developing production-ready applications, agents, integrations, and workflows using Microsoft Cloud and AI platforms. You will apply solid software design and engineering experience to help partners translate AI capabilities into secure, scalable, outcome-focused solutions. These solutions may include agentic experiences, copilots, and AI-powered applications that integrate with partner and customer data, business processes, and existing systems. This opportunity will allow you to collaborate with partners on emerging AI technologies, apply software engineering and solution architecture practices to real-world business scenarios, and help bring differentiated AI solutions from concept to production. At Microsoft, our mission—to empower every person and every organization on the planet to achieve more—guides how we partner with customers to deliver trusted, impactful solutions. With a growth mindset culture, we innovate responsibly and measure success by shared progress—people, teams, and customers. Join us to do meaningful work that changes the world and helps shape what’s next for everyone Responsibilities • 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 Qualifications Required Qualifications • 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 Other Requirements • This position is not eligible for visa sponsorship. Candidates must have authorization to work in the United States that does not now or in the future require employer sponsorship Preferred Qualifications • 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. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: careers.microsoft.com 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.

Requirements

Must-haves

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
OR equivalent experience
Other Requirements
4+ years of experience working in a customer-facing role (e.g., internal and/or external)
4+ years of experience working on technical projects
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Nice-to-haves

OR equivalent experience
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 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
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aici/cdjavajavascriptpythonllmtypescriptazure

Platform: eightfold
Effort: medium