AI Infrastructure (IT)

Job Description

• We are seeking a hands-on AI Infrastructure Engineer to implement, integrate, and operate AI-driven solutions and Agentic Workflows across the organization. This role focuses on leveraging modern AI platforms, tools, and infrastructure to enable intelligent automation and improve business processes within an enterprise IT environment.

• The ideal candidate combines strong system engineering and IT infrastructure expertise with a solid understanding of AI technologies and their practical application in real-world organizational settings.

Key Responsibilities

• Deploy, configure, and maintain AI-based systems and services in enterprise environments

• Implement and operate Agentic Workflows using existing AI platforms, tools, and orchestration frameworks

• Evaluate and manage AI tools, APIs, and platforms, ensuring reliability, scalability, and security

• Integrate AI capabilities with internal systems (e.g., business applications, databases, collaboration platforms) using APIs and connectors

• Serve as the primary technical point of contact for corporate AI initiatives and platforms

• Monitor system performance, troubleshoot issues, and optimize AI solutions for stability and efficiency

• Collaborate with IT and business teams to identify automation opportunities and implement AI-driven improvements

• Establish and promote best practices for AI system usage, governance, and operational support

Requirements

• 3+ years of experience in IT systems engineering, infrastructure, or similar roles

• Hands-on experience with enterprise systems and integrations

• Familiarity with AI tools and platforms (LLMs, AI APIs, or automation tools)

• Experience with system integration technologies (REST APIs, connectors, middleware)

• Strong understanding of security, identity management, and system governance

• Experience with monitoring, troubleshooting, and supporting production systems

• Basic scripting skills (e.g., PowerShell or Python) — advantage

• Ability to work independently and drive technical solutions end-to-end

• Strong collaboration and communication skills

• Fluent in English (both written and spoken)