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AI Solutions Engineer, Global
Skills
Computer ScienceBusinessData ArchitectureData CentersDecision SupportMicrosoft 365Oauth
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Bachelor’s degree in Computer Science Software Engineering or related field
- Strong hands-on experience building AI/ML solutions using modern frameworks
- Proficiency in Python and TypeScript/JavaScript with clean maintainable code
- Deep experience with Microsoft Azure including Azure OpenAI Azure AI Services Azure Functions Logic Apps and Power Platform
- Experience developing within the Microsoft Copilot ecosystem including Copilot Studio Microsoft Graph Teams and SharePoint
- Solid understanding of machine learning NLP retrieval-augmented generation prompt engineering and agentic system design
- Experience with Git CI/CD pipelines containerization infrastructure as code and cloud-native architectures
- Strong API and integration experience including REST services OAuth/authentication and enterprise system connectivity
- Proven ability to deliver high-quality software under tight timelines while balancing speed and technical rigor
- Knowledge of security data privacy and enterprise compliance standards
- Strong problem-solving and debugging skills in complex integrated environments
- Excellent communication skills to explain technical concepts to non-technical stakeholders
- Self-directed adaptable and comfortable working in fast-paced minimally supervised environments
Nice to have
- Growth mindset
- Fast-paced
- Self-directed
- Adaptable
- Collaborative
- Pragmatic
Day to day
- Design and deliver AI-powered prototypes in rapid 6-week sprint cycles that prove business value.
- Build intelligent solutions across the Microsoft 365 ecosystem using Azure AI services Copilot Studio and Power Platform.
- Translate validated opportunities into working prototypes provide technical feedback and document architecture decisions for future handoff.