1 day ago
Base Salary
$125k - $232k/yr
Responsibilities
- Drive technical pre-sales and readiness motions for Microsoft AI Business Solutions with partners.
- Design reference architectures and build and deploy working AI agents, including multi-agent orchestration, enterprise retrieval, tool and API integration, and business-system connections.
- Define production-readiness guidance covering identity, security, governance, responsible AI, evaluation, observability, cost, consumption, and operations.
- Connect agent solution architecture and operating costs to ROI, KPIs, and measurable business outcomes.
- Create and maintain reference architectures, sample agents, solution accelerators, lab environments, workshops, bootcamps, playbooks, and delivery guides.
- Facilitate partner workshops, bootcamps, train-the-trainer sessions, technical deep-dives, office hours, design reviews, and partner events.
- Collaborate with Microsoft product, field, marketing, partner skilling, and engineering teams to resolve escalations and incorporate partner feedback.
- Mentor partner architects and colleagues on technical and advisory skills.
Requirements
- Master's degree in Computer Science, Information Technology, Engineering, or a related field plus 6+ years of relevant experience, or bachelor's degree in one of these fields plus 8+ years, or equivalent experience.
- At least 2 years managing multiple projects or portfolios.
- At least 1 year leading blended, multidisciplinary teams.
- Experience with solution architecture across envisioning, design, deployment, and operations for enterprise customers or partners.
- At least 3 years of hands-on experience with Microsoft AI Business Solutions technologies.
- Hands-on experience building and deploying AI agents or generative AI solutions on Azure.
- Experience with Semantic Kernel, Microsoft Agent Framework, multi-agent orchestration, Model Context Protocol, agent evaluation, and observability.
- Working knowledge of Azure identity, security, governance, Microsoft Entra, Purview, and responsible AI practices.
- Experience in Microsoft partner, consulting, or technical pre-sales environments and partner enablement or practice development.
- Ability to connect technology with business processes, value quantification, ROI, and outcome-based offers.
- Strong communication and facilitation skills with technical and executive audiences, including presenting and leading workshops.
- Relevant Microsoft certifications such as Azure AI Engineer Associate, Azure Solutions Architect Expert, or Power Platform Solution Architect Expert.
- Preferred experience includes a bachelor's degree with 12+ years of relevant experience or a master's degree with 8+ years of relevant experience.
Benefits
- Typical U.S. base pay range is $124,500-$214,600 per year, with a separate $154,500-$231,700 range for specified San Francisco Bay Area and New York City metropolitan locations.
- Willingness to travel for partner engagements, workshops, and bootcamps is required.
- Applications are accepted on an ongoing basis until the position is filled, with the posting open for a minimum of 5 days.
Tech Stack
Categories
Solutions Engineering
About Microsoft
Microsoft develops operating systems, productivity software, cloud services, developer tools, and consumer devices for individuals, enterprises, and governments. Its main products include Windows, Microsoft 365, Azure, Visual Studio/GitHub, Xbox, and LinkedIn; revenue comes from software subscriptions and licenses, cloud consumption, hardware sales, and advertising. Founded in 1975 and headquartered in Redmond, Washington, Microsoft is a public company traded on Nasdaq.