2 days ago
Remote, United States or Mountain View, CA, USASenior
Base Salary
$106k - $223k/yr
Responsibilities
- Enable partners to design, build, test, and deploy production-ready AI-powered applications, agents, services, integrations, and workflows.
- Provide architecture guidance and hands-on technical enablement for AI workloads, including solution design, governance, security, privacy, and Responsible AI.
- Guide partners in evolving traditional applications into AI-powered, agent-based, and conversational experiences that deliver measurable business outcomes.
- Apply software engineering practices including code reviews, automated testing, continuous integration and delivery, observability, documentation, and operational readiness.
- Use AI-assisted and agentic development tools for development, testing, debugging, experimentation, and delivery.
- Build reusable components, accelerators, and engineering patterns that scale across partners, teams, and transformation scenarios.
Requirements
- Bachelor's degree in Computer Science, Information Technology, or a related technical field and 4+ years of technical engineering experience with coding, or equivalent experience.
- 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.
- Preferred: bachelor's degree with 8+ years of relevant coding experience, or master's degree with 6+ years of relevant coding experience, plus 6+ years in cloud, infrastructure, consulting, architecture, or related areas.
- Preferred: 4+ years of customer-facing experience and 4+ years working on technical projects.
- Preferred: experience shipping LLM-powered or agentic applications to production, preferably using Python or TypeScript.
- Preferred: experience with MCP, tool and function calling, multi-agent orchestration, Azure AI Foundry Agent Service, Microsoft Agent Framework, Semantic Kernel, RAG, agent evaluation, and observability.
- Preferred: experience co-developing with external engineering teams and applying Responsible AI and security practices such as red-teaming, content safety, evaluations, and threat modeling.
- Microsoft certifications in Data Platform and/or Artificial Intelligence are highly valued.
Benefits
- Certain roles may be eligible for benefits and other compensation.
- The position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until filled.
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.