Application Architect

Penta Consulting

Abu Dhabi

On-site

AED 260,000 - 460,000

Full time

13 days ago

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Job summary

Penta Consulting in the UAE is seeking an Application Architect (Azure AI & Agentic AI) to lead enterprise AI transformations, architecting scalable and secure AI solutions and guiding the lifecycle of AI deployments across regulated environments.

The role requires strong Azure AI expertise, experience with Agentic AI and RAG-based workflows, and a deep understanding of governance, security, and observability to ensure compliant, reliable AI implementations at scale.

Qualifications

  • Deep expertise across the Azure AI stack (Azure OpenAI, Azure AI Foundry, Azure AI Search, Azure AI Agent Service).
  • Proven experience designing Agentic AI solutions and autonomous workflows.
  • Strong knowledge of RAG architectures, embeddings, and vector databases.

Responsibilities

  • Architect Agentic AI systems and autonomous workflows.
  • Define LLM Gateway and AI control plane architectures.
  • Design MCP-based integrations and AI tool orchestration frameworks.

Skills

Azure AI stack
Agentic AI design
RAG architectures
LLM governance
AI security & compliance

Tools

Azure OpenAI
Vector databases

Job description

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:
  • 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,

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