technologies-expected :

technologies-optional :

about-project :

responsibilities :

Architect and design end-to-end Agentic AI solutions with Microsoft tools: Azure AI Foundry, Copilot Studio, Azure AI Agent Services, Semantic Kernel
Embed Responsible AI principles (cost control, traceability, audit, bias mitigation, explainability) into every solution
Create technical blueprints and reference architectures tailored to regulatory and domain-specific needs
Collaborate closely with IT, delivery and business teams to ensure secure and performant system integration within hybrid or multi-cloud environments
Lead solution design efforts, including estimates, ROI analysis, and pre-sales technical presentations
Act as SME in Microsoft AI stack, driving client enablement, technical confidence, and platform adoption
Identify transformation, automation, and AI acceleration opportunities across enterprise clients

requirements-expected :

3+ years in solution architecture, including hands-on delivery of Generative or Agentic AI projects
Strong experience with Microsoft Azure AI services: Azure AI Foundry, Copilot Studio, Semantic Kernel, and Azure AI Agent Service
Demonstrated success in technical pre-sales (effort estimation, pricing, business cases)
Solid understanding of cloud-native architectures and DevOps (Azure, AWS, GCP)
Familiarity with multi-agent systems, autonomous agent frameworks, and reasoning engines

offered :

benefits :

technologies-optional :