Application Architect

Penta Consulting is a leading technology services partner delivering professional and managed solutions across EMEA. We're seeking an Application Architect (Azure AI & Agentic AI) to support one of our key enterprise clients. This role is ideal for someone with strong Azure AI expertise and proven experience designing scalable, secure, enterprise AI solutions. Key Responsibilities: AI Architecture & Design • Design enterprise AI solutions using Azure OpenAI, Azure AI Foundry, Azure AI Search, and Azure AI Agent Service • Architect Agentic AI systems, autonomous workflows, and RAG-based solutions • Define LLM Gateway and AI control plane architectures • Design MCP-based integrations and AI tool orchestration frameworks • Establish AI governance, security, monitoring, and evaluation frameworks • Ensure solutions align with Responsible AI principles and regulatory requirements • Provide architectural leadership across the AI solution lifecycle Key Requirements: • Strong expertise across the Azure AI stack, including Azure OpenAI, Azure AI Foundry, Azure AI Search, and Azure AI Agent Service • Proven experience designing Agentic AI solutions and autonomous workflows • Deep knowledge of RAG architectures, embeddings, and vector databases • Experience with LLM Gateway, AI control plane, and MCP integration patterns • Strong understanding of Responsible AI, governance, security, and compliance • Experience implementing AI evaluation, monitoring, and observability frameworks • Proven delivery of AI solutions within regulated enterprise environments • Familiarity with hybrid cloud and Azure-based AI architectures If you're passionate about building next-generation AI solutions and driving enterprise AI transformation, apply now. Show more Show less

Strong expertise across the Azure AI stack, including Azure OpenAI, Azure AI Foundry, Azure AI Search, and Azure AI Agent Service. Proven experience designing Agentic AI solutions and autonomous workflows. Deep knowledge of RAG architectures, embeddings, and vector databases. Experience with LLM Gateway, AI control plane, and MCP integration patterns. Strong understanding of Responsible AI, governance, security, and compliance. Experience implementing AI evaluation, monitoring, and observability frameworks. Proven delivery of AI solutions within regulated enterprise environments. Familiarity with hybrid cloud and Azure-based AI architectures.

AI Architecture & Design: Design enterprise AI solutions using Azure OpenAI, Azure AI Foundry, Azure AI Search, and Azure AI Agent Service. Architect Agentic AI systems, autonomous workflows, and RAG-based solutions. Define LLM Gateway and AI control plane architectures. Design MCP-based integrations and AI tool orchestration frameworks. Establish AI governance, security, monitoring, and evaluation frameworks. Ensure solutions align with Responsible AI principles and regulatory requirements. Provide architectural leadership across the AI solution lifecycle.