We are seeking a hands-on AI Systems 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