Responsibilities
- Design and deploy scalable artificial intelligence solutions using platforms such as Microsoft Power Platform, AI Builder, UiPath Agents, Azure AI, Document Understanding, and Microsoft Copilot.
- Lead the development of prompt engineering strategies for automation, building reusable frameworks that enhance generative AI effectiveness.
- Create, refine, and optimize AI models for large-scale enterprise use, ensuring high performance, scalability, and adherence to corporate IT policies.
- Manage the evaluation and benchmarking of AI models, conducting thorough testing against leading industry models to ensure superior results.
- Act as the subject matter expert on AI system endpoints and scalability, defining secure and high-performance integration patterns across enterprise platforms.
- Develop and enforce governance standards for AI automation, covering efficiency, security, regulatory compliance, and application lifecycle oversight.
- Collaborate with IT teams to ensure alignment in AI frameworks, architectural standards, and governance practices.
- Work with business leaders to establish clear KPIs and measurable outcomes for AI-powered automation projects.
