Job Description
Overview
Do you get excited about helping partners turn customer interest in AI into funded, production-scale transformation? Can you whiteboard a business process with an executive, design a solution across applications, data, AI and integration, and then build and deploy a working agent? Do you want to shape the assets, workshops and bootcamps that help the Microsoft partner ecosystem lead with AI-first value?
We are looking for an experienced Solution Architect with solid, hands-on knowledge across the Microsoft stack: AI and agent services, business applications, data, integration, identity and security. This includes hands-on experience building agents in Copilot Studio, knowledge of related Microsoft AI Business Solutions (ABS) technologies, and practical experience designing, building and deploying agents on and across the Azure AI stack. The ideal candidate can connect these capabilities into end-to-end solutions, combines strong solution architecture fundamentals with an understanding of consulting engagements and a passion for partner enablement, and ties architecture decisions to business processes, measurable outcomes and partner economics.
You will join the Field and Partner Center of Excellence, a global team of architects that works closely with Microsoft product engineering, marketing, partner skilling and field teams. The team builds the programs, intellectual property and technical readiness that help partners connect capabilities across the Microsoft stack and move customers from AI experimentation to Frontier Transformation.
Responsibilities
Partner technical pre-sales and readiness
- Work directly with partners to drive technical pre-sales for end-to-end AI solutions using Copilot Studio, Microsoft 365 Copilot, Power Platform and Azure, with custom agents, enterprise data and system integration.
- Help partners move from point agents to end-to-end, process-level solutions that connect people, agents, applications and data across systems and can be tied to customer KPIs.
- Support partner technical onboarding of COE workshops, bootcamps and go-to-market materials, and review solution designs and proposals for cross-stack integration and technical soundness.
- Coordinate with Microsoft stakeholders to build technical readiness roadmaps for partner AI and agent practices that span business applications, Azure AI, data, integration and security.
Cross-stack architecture, agent build and deployment
- Design reference architectures and patterns that connect applications, enterprise data, integration and AI services across the Microsoft stack, including Copilot Studio, Microsoft 365 Copilot extensibility and pro-code agents built with Azure AI Foundry, Azure OpenAI and the Foundry Agent Service.
- Build and deploy working agents and demos in Copilot Studio and across Azure that span application and platform boundaries, including multi-agent orchestration, retrieval over enterprise data, tool and API integration (including Model Context Protocol), and connections to Dataverse and line-of-business systems.
- Define cross-stack production-readiness guidance covering identity and access, security and governance, responsible AI, evaluation and observability, cost and consumption management, and ongoing operations.
- Lead cost- and value-based architecture discussions that weigh cross-stack design choices and connect agent solution build, deployment and run costs to ROI and measurable business outcomes.
Intellectual property and practice development
- Create and maintain partner-facing IP that demonstrates cross-stack solutions: reference architectures, solution accelerators, sample agents, lab environments, workshop and bootcamp content, and delivery guides.
- Contribute to COE programs such as AVA and AITP, including process decomposition, value quantification and advisory-offer content for partner sellers and consultants.
- Help partners package repeatable, outcome-based consulting, advisory and delivery offers that combine Azure AI, agents and ABS capabilities with enterprise data and systems. Connect discovery and value quantification to solution scope and delivery, and drive reuse of IP across pre-sales and delivery.
- Deliver and facilitate partner workshops, bootcamps and train-the-trainer sessions in person and virtually.
Trusted advisor and thought leadership
- Build a strong network across product groups, partner skilling, field and partner teams to resolve cross-stack blockers and bring partner feedback to engineering.
- Apply a consultative approach in partner and customer conversations: understand business needs, clarify desired outcomes, challenge unrealistic expectations and steer discussions toward business value rather than features.
- Stay current on Microsoft AI and agent capabilities across business applications, Azure, data, integration and security, as well as the competitive landscape, and share insights with internal communities and external audiences.
- Mentor partner architects and colleagues on cross-stack architecture, hands-on implementation and advisory skills.
Day-to-day activities
- Build, test and refresh demo agents in Copilot Studio and Azure, and maintain end-to-end reference solutions in the COE lab environment as AI, data, integration and security capabilities evolve.
- Update workshop, bootcamp and playbook content on a monthly and quarterly cadence so partner materials match the latest product capabilities.
- Run cross-stack technical deep-dives, office hours and design reviews with partner architects working on live customer opportunities.
- Support COE program delivery, including AVA bootcamps, train-the-trainer sessions and partner events, as facilitator or subject matter expert.
- Partner with product groups, partner marketing and skilling teams to bring implementation feedback to engineering, close cross-stack technical gaps and resolve partner escalations.
Qualifications
Required/minimum qualifications
- Master's Degree in Computer Science, Information Technology, Engineering, or related field AND 6+ years experience in technology solutions, practice development, architecture, consulting, and/or technology domain (e.g., Security) OR Bachelor's Degree in Computer Science, Information Technology, Engineering, or related field AND 8+ years experience in technology solutions, practice development, architecture, consulting, and/or technology domain (e.g., Security) OR equivalent experience.
- 2+ years managing multiple projects or portfolios
- 1+ year(s) experience leading blended, multidisciplinary teams
Additional or preferred qualifications
- Proven cross-stack solution architecture experience with enterprise customers or partners, connecting applications, data, AI services, integration, identity and security across the full lifecycle, from envisioning and design through deployment and operations.
- 3+ years of hands-on experience building solutions across the Microsoft stack, including practical experience building agents in Copilot Studio and knowledge of Microsoft 365 Copilot, Power Platform and their integration with Azure services and enterprise data.
- Practical experience designing, building and deploying AI agents or generative AI solutions on and across the Azure AI stack (for example Azure AI Foundry, Azure OpenAI, Azure AI Search, Azure Functions or Logic Apps), including integration with business applications, tools and APIs.
- Bachelor's degree AND 8+ years of relevant experience; OR Master's degree AND 6+ years; OR equivalent experience.
- Experience applying agent frameworks and patterns across connected systems, such as Semantic Kernel, Microsoft Agent Framework, multi-agent orchestration and Model Context Protocol, plus agent evaluation and observability.
- Working knowledge of identity, security and governance across Azure and connected business applications and data, including Microsoft Entra, Purview and responsible AI practices.
- Experience in technology consulting, a Microsoft partner or technical pre-sales, with a track record of partner enablement or practice development. Consulting experience should include customer discovery, business-process assessment, solution scoping and translating recommendations into delivery plans.
- Understanding of how consulting and advisory engagements connect technology to business processes and economics, including process decomposition, value quantification, ROI and repeatable, outcome-based offers.
- Excellent communication and facilitation skills with both technical and executive audiences; comfortable presenting at events and leading workshops.
- Relevant Microsoft certifications that support cross-stack architecture and implementation, such as Azure AI Engineer Associate, Azure Solutions Architect Expert or Power Platform Solution Architect Expert.
- Willingness to travel for partner engagements, workshops and bootcamps.
Solution Architecture IC5 - The typical base pay range for this role across the U.S. is USD $124,500 - $214,600 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 $154,500 - $231,700 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.