
AI Architect @
3 days ago
- 10+ years designing cloud solutions (2+ in applied AI/LLM apps) on Microsoft Azure.
- Hands-on with Azure AI Foundry / Azure AI Studio, Azure OpenAI, Copilot Studio, Power Automate, and M365 integration.
- Strong grasp of Power Platform architecture (Dataverse, connectors, ALM, DLP).
- Experience with Enterprise integration (Graph API, custom connectors, APIs, eventing) and at least one programming stack (C#, TypeScript/Node, or Python).
- Solid understanding of RAG, prompt engineering, evaluation, telemetry, and cost/perf tuning.
- Security/compliance by design: Entra ID, Purview, data classification, tenant governance.
- Excellent stakeholder communication; ability to translate business goals into technical plans.
- Communicative English
Nice to have
- Semantic Kernel for orchestration/plug-in patterns and planners.
- Azure services: Functions, API Management, Service Bus/Event Grid, Cosmos DB/SQL with vector support, Azure AI Search.
- Experience with Power Apps (Model-driven/Canvas), Power Pages, and Power BI for insights.
- Microsoft certifications (e.g., Azure Solutions Architect, Azure AI Engineer) or equivalent proof of expertise.
ITMAGINATION, now part of the Virtusa Group helps its Clients by becoming a true extension of their software and data development capabilities. Through the readily set up, comprehensive, and self-governing teams, we let our Clients focus on their business while we make sure that their software products and data tools scale up accordingly and with outstanding quality.
We are looking for experienced team players to fill the AI Architect position and participate in our up-and-coming project for our client from the automotive industry.
,[Define reference architectures for AI solutions using Azure AI Foundry (Azure AI Studio), Azure OpenAI Service, Prompt Flow, Azure AI Search, and Power Platform (Power Apps, Power Automate, Power Pages). , Design and implement Copilot Studio solutions (skills, actions, connectors, grounding with internal data) integrated with M365 (Teams, SharePoint, Outlook) and line-of-business apps. , Establish retrieval-augmented generation (RAG) patterns with Microsoft Graph, SharePoint, Dataverse, Azure Blob, and vector stores; tune prompts, evaluation, and guardrails. , Orchestrate workflows that blend low/pro-code with pro-code APIs/SDKs; set ALM using Power Platform Pipelines + Azure DevOps/GitHub. , Define tenant-level Power Platform governance (DLP policies, environment strategy, CoE), data residency, and labeling. , Implement identity and access (Entra ID), data governance (Microsoft Purview), and responsible AI controls (content filters, abuse monitoring, evaluation gates). , Standardize evaluation/telemetry for LLM apps (App Insights, Azure Monitor), prompt/version management, offline tests, and rollback strategies. , Optimize cost/performance (token budgets, caching, response latency SLOs). , Maintain the AI reference roadmap, technical standards, and decision records. , Evaluate new Microsoft capabilities and recommend adoption paths. ] Requirements: AI, Power Platform, Power Automate, SharePoint, Outlook, ALM, DevOps, GitHub, DLP, Cloud, Microsoft Azure, API, C#, TypeScript, Node.js, Python, Security, Service Bus, SQL, Power BI Additionally: Remote work, Udemy for business, Sport subscription, Private healthcare, International projects.-
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