AI Platform Engineer (Agentic Workflows)
Posted 17 days ago · 62 applicants
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The role in plain words
This role focuses on deploying, configuring, and maintaining AI-based systems and Agentic Workflows across the organization. You will integrate AI capabilities with internal business applications and databases using APIs, while serving as the primary technical contact for corporate AI initiatives. Day-to-day tasks also include monitoring system performance, troubleshooting issues, and collaborating with IT teams to identify automation opportunities.
- 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
- Basic scripting skills (e.g., PowerShell or Python)
Extracted from the job description · kept up to date automatically
Who this suits
This role suits IT systems or infrastructure engineers with at least 3 years of experience who have hands-on experience with enterprise integrations and familiarity with AI tools or APIs. It is less ideal for those looking for a pure AI research or machine learning modeling role, as the focus is on platform engineering and system integration.
Full job description
Original listing · kept for referenceJob Description
• We are seeking a hands-on AI Platform 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)
Department:
IT
Questions about this role
- This listing did not state a salary. We only show pay when the employer publishes it.
- 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