8 hours ago
Hyderābād, IndiaEntry Level
Responsibilities
- Design and deploy autonomous agents using Azure AI Agent Service and define their logic, goals, and collaboration flows.
- Own AI solutions from design through deployment and scaling of multi-agent systems.
- Integrate Azure services, APIs, event-driven systems, and cloud-native infrastructure for agent deployment and orchestration.
- Develop AI workflows, pipelines, automation, and agent logic primarily with Python.
- Build AI-embedded applications and web integrations using JavaScript/TypeScript, with potential use of Power Apps extensions and custom Power BI visuals.
Requirements
- Graduate or postgraduate education.
- Strong proficiency in Python for AI workflows, APIs, automation, pipelines, agent logic, and orchestration.
- 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.
- JavaScript/TypeScript experience for AI-embedded applications and web integrations.
- C#/.NET experience for Azure Functions and Bot Framework is preferred.
- Experience creating custom Power BI visuals with D3.js or Chart.js is a nice-to-have.
Tech Stack
Categories
About Cognizant
Cognizant is a public IT services and consulting firm that designs, builds, and runs enterprise technology, including digital engineering, cloud modernization, data/AI, and managed services. It sells consulting, systems integration, and outsourcing on multi-year engagements to large enterprises in healthcare, banking, retail, communications, and manufacturing. Founded in 1994 and headquartered in Teaneck, New Jersey, Cognizant is NASDAQ-listed (CTSH) and a Fortune 500 company.