Posted by Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
AI Engineer
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.
Job 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.
For more details to apply, Click here!
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