AI Engineer
Cognizant
Hyderabad, Telangana, India4h agovia LinkedIn
About the Role
Seeking an AI Engineer to design and deploy Agentic AI solutions leveraging the Microsoft Azure AI ecosystem. The primary focus will be on building autonomous multi-agent systems that reason, act, and collaborate to solve complex tasks.
Key Responsibilities
- Design and deploy autonomous agents using Azure AI Agent Service and related tools.
- Define agent logic, goals, and collaboration flows.
- Take end-to-end ownership of solutions from design to deployment and scaling of multi-agent systems.
- Leverage Azure services such as AI Studio, OpenAI, Azure ML, Azure Functions, and Kubernetes for deployment and orchestration.
Requirements & Tech Stack
- 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.
- 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.
Qualifications
- Graduate / Postgraduate.