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:
https://careers.microsoft.com/us/en/us-corporate-pay
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.
Skills Required
- Bachelor’s degree in Computer Science, Information Technology, or a related technical field, or equivalent experience
- 4+ years of technical engineering experience coding in languages such as C, C++, C#, Java, JavaScript, or Python
- 4+ years of experience in cloud or infrastructure technologies, IT consulting or support, systems administration, network operations, software development or support, technology solutions, practice development, architecture, or consulting
- Authorization to work in the United States without current or future employer visa sponsorship
- Bachelor’s degree and 8+ years of technical engineering coding experience, or a master’s degree and 6+ years of technical engineering coding experience
- 6+ years of experience in cloud or infrastructure technologies, IT consulting or support, systems administration, network operations, software development or support, technology solutions, practice development, architecture, or consulting
- 4+ years of experience in a customer-facing role
- 4+ years of experience working on technical projects
- Experience shipping LLM-powered or agentic applications to production
- Experience with MCP, tool and function calling, multi-agent orchestration, RAG, agent evaluation, and observability
- Experience co-developing with external engineering teams, including pairing, code reviews, and knowledge transfer
- Experience applying Responsible AI and security practices, including red-teaming, content safety, evaluations, and threat modeling
- Microsoft certifications in Data Platform or Artificial Intelligence
Microsoft Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Microsoft and has not been reviewed or approved by Microsoft.
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Fair & Transparent Compensation — Pay is presented as broadly competitive overall, with clear role/level/location variation and an emphasis on using posted ranges and band information for apples-to-apples comparisons.
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Retirement Support — Retirement benefits are described as a standout, highlighted by a strong 401(k) match structure and immediate vesting, plus additional plan features for tax-advantaged saving.
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Parental & Family Support — Family-oriented benefits are portrayed as a meaningful strength, with substantial paid parental leave and added supports like back-up care and adoption/surrogacy assistance.
Microsoft Insights
What We Do
At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. Our mission is grounded in both the world in which we live and the future we strive to create. Today, we live in a mobile-first, cloud-first world, and the transformation we are driving across our businesses is designed to enable Microsoft and our customers to thrive in this world.
