Senior Azure Agentic AI Architect — Enterprise-Scale Innovator

Cognizant

Oslo

Hybrid

NOK 1,000,000 - 1,800,000

Full time

10 days ago
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Job summary

Cognizant in Oslo, Norway is seeking a Senior Azure Agentic AI Architect to design and deliver enterprise-grade Agentic AI solutions on Microsoft Azure. You will collaborate with cross-functional teams and senior stakeholders to translate bold AI ambitions into production-grade reality.

This role emphasizes technical mastery and strategic innovation, involving LLM engineering, RAG pipelines, multi-agent orchestration with Semantic Kernel and LangChain, and governance for responsible AI across

Qualifications

  • Proven expertise in Microsoft Azure AI services — including Azure AI Foundry, Azure OpenAI, and Azure Machine Learning.
  • Deep knowledge of LLM engineering and RAG architectures for production-ready pipelines.
  • Strong proficiency in Python and Azure SDKs, with experience building and deploying AI apps using CI/CD.

Responsibilities

  • Architect and implement enterprise-grade Agentic AI solutions on Microsoft Azure with scalable data flows and architectures.
  • Engineer LLM-powered apps and RAG pipelines using Azure OpenAI and Azure AI Search.
  • Design and deploy multi-agent systems using Semantic Kernel and LangChain in Azure environments.
  • Drive governance, Responsible AI principles, monitoring, and security controls across solutions.
  • Lead stakeholder sessions and translate AI architectures into clear business narratives.

Skills

Azure AI
LLM engineering
Python
CI/CD
Semantic Kernel
LangChain
Responsible AI

Tools

Azure AI Foundry
Azure OpenAI
Azure Machine Learning
Azure Databricks
Azure Synapse

Job description

Cognizant in Oslo, Norway is seeking a Senior Azure Agentic AI Architect to design and deliver enterprise-grade Agentic AI solutions on Microsoft Azure. You will collaborate with cross-functional teams and senior stakeholders to translate bold AI ambitions into production-grade reality.

This role emphasizes technical mastery and strategic innovation, involving LLM engineering, RAG pipelines, multi-agent orchestration with Semantic Kernel and LangChain, and governance for responsible AI across

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