Gen AI Co pilot Architect

Job description

**Educational Requirements** MCA,MTech,Intergrated course BCA+MCA,Bachelor of Engineering,BCA,BSc,BTech **Service Line** Microsoft Practice **Responsibilities** - 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. **Additional Responsibilities:** - 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 **Technical and Professional Requirements:** - Lead architecture of Copilot Studio custom agents, agentic workflows, orchestrators, connectors, and integrations. - Design Azure AIpowered 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. **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)