Azure Agentic AI Architect: LLM & Multi-Agent

Cognizant; Stockholms kommun; On-site; SEK 1,200,000 - 1,800,000; Full time

Job summary

Cognizant is seeking an Agentic AI Architect to lead the design and implementation of scalable AI solutions on Microsoft Azure. You will work with Azure AI Foundry, OpenAI, and ML tools to build robust, governed AI systems and multi-agent workflows across enterprise use cases.

The role emphasizes hands-on Python development, Azure SDKs, and collaboration with business and technical stakeholders to transform enterprise capabilities in a rapidly evolving AI landscape.

Qualifications

• Responsibilities listed in the job ad.

Responsibilities

• Azure Agentic AI Architecture: Design and implement scalable enterprise-grade Agentic AI solutions on Microsoft Azure with data flows, architecture, and resource optimization.
• LLM & RAG Engineering on Azure: Build and optimize LLM-powered applications using Azure OpenAI and RAG pipelines.
• Multi-Agent Orchestration: Architect and deploy multi-agent systems using Azure tools for collaborative workflows.
• Frameworks & Prompt Engineering: Apply expertise in Semantic Kernel and LangChain with Azure integration.
• Data & Vector Integration: Design integrations with Azure data platforms and vector stores for embedding and retrieval.
• Responsible AI & Governance: Implement Azure-native governance and Responsible AI principles with monitoring and risk mitigation.
• Hands-On Engineering (Python & Azure SDKs): Deliver end-to-end AI solutions with CI/CD, monitoring, and performance tuning.
• Stakeholder Engagement & Solution Design: Communicate AI concepts to stakeholders and drive architecture discussions.

Job description

Cognizant is seeking an Agentic AI Architect to lead the design and implementation of scalable AI solutions on Microsoft Azure. You will work with Azure AI Foundry, OpenAI, and ML tools to build robust, governed AI systems and multi-agent workflows across enterprise use cases.

The role emphasizes hands-on Python development, Azure SDKs, and collaboration with business and technical stakeholders to transform enterprise capabilities in a rapidly evolving AI landscape.