Role Overview We’re looking for AI engineer to work on the design and deployment of Agentic AI solutions. Using the Microsoft Azure AI ecosystem. Your primary focus will be on building autonomous multi-agent systems that reason, act, and collaborate to solve complex tasks. Key Responsibilities Agentic AI Development: Design and deploy autonomous agents using Azure AI Agent Service and related tools. Define agent logic, goals, and collaboration flows.
End-to-End Ownership: Work on solutioning from design to deployment and scaling of multi-agent systems. Cloud Integration: Leverage Azure services like AI Studio, OpenAI, Azure ML, Functions, and Kubernetes for deployment and orchestration. Required Qualifications: Graduate / Postgraduate. Strong proficiency in Python for AI workflows, APIs, and automation. Understanding of agent orchestration , stateful logic, decision systems, and tool-using agents.
Familiarity with prompt engineering , RAG , or LLM fine-tuning . Knowledge of cloud-native architecture , APIs, event-driven systems, and secure deployments Technical Skills: Python : Core scripting for pipelines, agent logic, and orchestration. JavaScript/TypeScript : For AI-embedded apps (e.g., Power Apps extensions, web integrations). API & Data Standards : JSON, YAML, REST, Graph QL, Microsoft Graph. C#/.NET (Preferred) : Useful for Azure Functions and Bot Framework.
Visualization (Nice to have) : Custom Power BI visuals using D3.js or Chart.js .
Job description provided by Cognizant Technology Solutions.
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