AI Engineer

Cognizant; Elsene; On-site; EUR 70,000 - 110,000; Full time

Job summary

Cognizant in Brussels (Elsene) seeks an AI Engineer to design and deploy Agentic AI solutions on the Microsoft Azure AI stack. You will build autonomous multi-agent systems that reason, act, and collaborate to solve complex tasks.

You'll work across the full lifecycle from design to deployment and scaling, integrating Azure AI services, AI Studio, OpenAI and Kubernetes to deliver robust, cloud-native applications for enterprise needs.

Qualifications

• Graduate or postgraduate with AI/computing focus.
• Experience in Python for AI workflows, APIs, and automation.
• Knowledge of agent orchestration, stateful logic, and tool-using agents.
• Familiarity with prompt engineering, RAG, or LLM fine-tuning.
• Understanding cloud-native architecture, APIs, event-driven systems, and secure deployments.

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: 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.

Skills

Python

Agent orchestration

Prompt engineering

RAG

LLM fine-tuning

Cloud-native architecture

APIs

Event-driven

Secure deployments

JavaScript/TypeScript

C#/ .NET

D3.js

Chart.js

Education

Graduate / Postgraduate

Job description

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.

• 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.