- Hands on experience with Copilot Studio Azure OpenAI Azure AI Search vector embeddings prompt engineering
- Strong knowledge of enterprise architecture APIs integration patterns security and governance
- Ability to architect agentic AI systems with tool calling flows connectors and data grounding
- Consulting background stakeholder management roadmap definition solution envisioning
- Lead architecture of Copilot Studio custom agents agentic workflows orchestrators connectors and integrations
- Design Azure AI powered solutions including Azure OpenAI Azure AI Search Vector DB Azure ML and knowledge stores
- Have knowledge to recommend responsible AI guardrails architecture governance data security and compliance frameworks
- Create enterprise AI reference architectures for copilots agent ecosystems SDLC agents and business workflows
- Partner with business and IT leaders to identify high value AI opportunities and convert them into scalable solutions
- Oversee integration across Microsoft ecosystem M365 Teams Power Platform Dynamics Azure
- Review and validate multi agent behavior tool invocation flows reasoning patterns and orchestrator configurations
- Mentor delivery teams on AI best practices vectorization retrieval design prompt engineering grounding and evaluation
- Knowledge of architectural design patterns performance tuning database and functional designs
- Hands on experience in Service Oriented Architecture
- Ability to lead solution development and delivery for the design solutions
- Experience in designing high level and low level documents is a plus
- Good understanding of SDLC is a pre requisite
- Awareness of latest technologies and trends
- Logical thinking and problem solving skills along with an ability to collaborate
Technology->AI-AI Hyperscalers->Azure Agentic AI Services->Azure AI,Technology->Cloud Platform->Power Platform,Technology->AI-Generative AI->Generative AI - Basic->retrieval augmented generation (rag)