Senior Information Systems Engineer AI & Automation

We are looking for a highly experienced and innovative Senior Information Systems Engineer – AI & Automation to join our Information Systems department. This is a hands-on, individual contributor role within a team responsible for managing, maintaining, and evolving a portfolio of enterprise IS platforms. In this role, you will be at the forefront of driving AI adoption and automation across our Information Systems landscape. Approximately 80% of your time will be spent on hands-on engineering, integration development, and platform optimization, while the remaining 20% will focus on strategic thinking — identifying opportunities, evaluating emerging technologies, and shaping the IS roadmap for AI-driven innovation. We are seeking a seasoned professional with a proven track record of delivering results in complex IS environments. This is not an entry-level position — we need someone who has accumulated significant experience across IS platforms, integrations, and AI technologies, and who brings a strong sense of ownership, initiative, and a forward-thinking mindset. What will your job look like? • Design, implement, and maintain AI-powered solutions and automation workflows across enterprise IS platforms. • Evaluate, pilot, and deploy emerging AI tools and technologies to enhance IS capabilities, streamline processes, and improve operational efficiency. • Lead cross-functional IS projects from requirements gathering through delivery, ensuring timely execution and alignment with business objectives. • Develop and maintain custom scripts, connectors, and technical solutions to bridge gaps between platforms and enable seamless data flow. • Continuously monitor the AI and IS technology landscape, proactively identifying opportunities for innovation and improvement. • Contribute to the definition of IS standards, best practices, and architectural guidelines for AI and automation adoption. • Collaborate with cross-functional teams to understand business needs and translate them into scalable, AI-enhanced IS solutions. • Document technical designs, integration architectures, and operational procedures to ensure knowledge transfer and continuity. All you need is: • Bachelor's degree in Information Systems, Computer Science, Software Engineering, Industrial Engineering & Information Systems, or a related field. • Minimum of 5 years of hands-on experience in Information Systems engineering, administration, or a comparable role in enterprise environments. • Proven experience with Atlassian products (Jira, Confluence, and related tools) and familiarity with project/work management platforms such as Asana and Monday.com. • Demonstrated knowledge and hands-on experience with AI technologies, tools, and frameworks as applied to Information Systems — including AI-driven automation, intelligent workflows, and AI-assisted development. • Strong experience with integration platforms (e.g., Workato, N8N, or equivalent) and a solid understanding of APIs, webhooks, and data orchestration patterns. • Solid coding and scripting abilities with the capacity to develop, debug, and maintain custom integrations, automation scripts, and technical solutions. • Proven ability to independently manage and deliver IS projects end-to-end, including planning, stakeholder coordination, risk management, and execution. • A strong track record of identifying opportunities for improvement, proposing innovative solutions, and driving change within an IS organization. • Excellent written and verbal communication skills in English, with the ability to present complex technical concepts to both technical and non-technical audiences. • Highly autonomous, proactive, and reliable — able to take ownership of initiatives and deliver results with minimal supervision. Nice to have: • Experience with additional IS platforms beyond the Atlassian ecosystem (e.g., ServiceNow, Salesforce, or ERP systems). • Experience with cloud platforms (AWS, Azure, GCP) and cloud-based IS architectures. • Experience with scripting languages such as Python, JavaScript, or Groovy in the context of IS automation. • Experience working in large-scale, global enterprise environments with complex IS ecosystems.