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.