AI Engineer

Cognizant; Hyderabad; In loco; INR 1.500.000 - 2.500.000; Tempo pieno

Descrizione del lavoro

Cognizant in Hyderabad is seeking an AI engineer to design and deploy Agentic AI solutions on the Microsoft Azure AI ecosystem. You will build autonomous multi-agent systems that reason, act, and collaborate to solve complex tasks.

You'll work with Azure AI Agent Service, Azure Studio, OpenAI, and Kubernetes to deploy and scale solutions from design through production.

Competenze

• 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

Mansioni

• Agentic AI Development: Design and deploy autonomous agents using Azure AI Agent Service and related tools.
• 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

Conoscenze

Python

JavaScript/TypeScript

API & Data Standards

C#/.NET

Visualization

Formazione

Graduate / Postgraduate

Strumenti

Azure AI Agent Service

Azure AI Studio

Azure ML

Kubernetes

Power Apps (e.g., extensions)

Descrizione del lavoro

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.

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.