Infrastructure & Operations AI Automation Engineer (fmd)

Bring more to life.

Are you ready to accelerate your potential and make a real difference within life sciences diagnostics and biotechnology

At Cytiva one of Danahers 15 operating companies our work saves livesand were all united by a shared commitment to innovate for tangible impact.

Youll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danahers system of continuous improvement you help turn ideas into impact innovating at the speed of life.

Working at Cytiva means being at the forefront of providing new solutions to transform human health. Our incredible customers undertake life-saving activities ranging from fundamental biological research to developing innovative vaccines new medicines and cell and gene therapies.

At Cytiva you will be able to continuously improve yourself and us working on challenges that truly matter with people that care for each other our customers and their patients. Take your next step to an altogether life-changing career.

Learn about the Danaher Business System which makes everything possible.

The I&O AI Automation Engineer for Cytiva is responsible for designing building and deploying AI-powered agents and intelligent automations that proactively improve the reliability speed and efficiency of IT Infrastructure & Operations services globally. This role serves as I&Os embedded AI capability identifying high-value automation opportunities across all I&O pillars (End User Compute Network Engineering Cloud Hosting Service Operations OT Convergence and ITSM) and turning them into production-grade solutions that measurably reduce operational toil and accelerate service delivery.

This position reports to the Director End User Compute part of the Infrastructure and Operations team and will be located onsite in Krakow Poland.

What you will do:

• Design build and deploy AI agents and automations using Microsoft Copilot Studio Power Automate Azure AI services and scripting frameworks (PowerShell Python) to address I&O operational use cases including incident auto-triage change request routing self-service provisioning proactive alerting and KPI/metric auto-generation.

• Identify and prioritize automation opportunities across all I&O pillars by partnering with L2 and L3 leaders in Network Engineering Cloud Hosting EUC Service Operations OT and ITSM to map workflows quantify toil and maintain a backlog of AI use cases ranked by business value and feasibility.

• Develop self-healing and proactive operations capabilities by building agent-driven automations that detect diagnose and remediate common infrastructure issues (e.g. device disconnect patterns patching failures cloud cost anomalies) before they impact end users aligned with Cytivas IT2030 vision of policy-as-code and agent-driven orchestration.

• Create reusable AI patterns prompt libraries and automation templates that enable I&O engineers across all pillars to adopt and extend AI-powered workflows accelerating the shift from manual operations to intelligent automation at scale.

• Serve as I&Os internal AI enablement resource upskilling infrastructure engineers on prompt engineering agent design patterns Copilot Studio best practices and the safe governed use of AI tools consistent with Cytivas AI governance framework and Danahers DBS principles of continuous improvement.

• Measure and report automation impact by tracking key metrics (hours saved tickets deflected mean-time-to-resolve improvement cost avoidance) for each deployed agent or automation and present outcomes to I&O leadership through regular business reviews.

• Partner with Digital Data & AI (DXDA) and Security Risk & Compliance teams to ensure all I&O agents and automations comply with enterprise AI governance standards data boundary requirements GxP considerations and the EU AI Act where applicable.

Who you are:

• Bachelors degree in Computer Science Information Technology Software Engineering or a related technical field.

• 5 years of experience in IT infrastructure operations or systems engineering with demonstrated hands-on delivery of automation solutions in an enterprise environment (cloud network endpoint or service management).

• Exposure to AI machine learning and/or automation technologies through work education or personal exploration with a strong desire to further develop capability in this area.

  Able to provide examples of using AI to drive meaningful improvements or solve problems.

• A strong collaborator with the ability to engage engineering and operations stakeholders translating requirements into scalable automation solutions

• Experience with Microsoft 365 Copilot ecosystem Power Platform and/or Azure AI services in a production enterprise context with supported programming languages.

It would be a plus if you also possess:

• Experience in life sciences manufacturing or regulated industries (GxP SOX).

• Familiarity with AIOps observability platforms (Datadog Azure Monitor Splunk) and infrastructure-as-code (Terraform Bicep).

• Exposure to Power Platform administration enabling Copilot governance flows establishing and enforcing AI guardrails for copilot environments.

• Microsoft certifications in AI or Power Platform (AI-102 PL-200 PL-600).

• Experience with DevOps/CI-CD pipelines for deploying and versioning AI agents.

• Track record of quantifying automation ROI and presenting to senior leadership.

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Join our winning team today. Together well accelerate the real-life impact of tomorrows science and technology. We partner with customers across the globe to help them solve their most complex challenges architecting solutions that bring the power of science to life.

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