Gen AI Co pilot Architect

• 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

Education: MCA,MTech,Intergrated course BCA+MCA,Bachelor of Engineering,BCA,BSc,BTech

Preferred skills: Technology->AI Hyperscalers->Azure Agentic AI Services->Azure AI,Technology->Cloud Platform->Power Platform,Technology->Machine Learning->Generative AI->retrieval augmented generation (rag)