• Collaborate with Dell consultants and client stakeholders to design and implement sophisticated HPC/AI cluster and network architectures. • Oversee the deployment of high-performance compute environments, ensuring both technical excellence and customer satisfaction throughout each phase of the engagement. • Design and architect scalable, high-performance compute and network infrastructures for HPC/AI clusters. • Lead the implementation of advanced networking solutions, including NVIDIA InfiniBand and Ethernet technologies. • Deploy and manage orchestration tools such as NVIDIA Base Command Manager for cluster management and monitoring. • Provide expert consulting on compute and network infrastructure strategy, planning, and execution and collaborate with clients to assess technical requirements and deliver customized solutions. • Troubleshoot and resolve performance bottlenecks across compute, storage, and network layers and develop comprehensive documentation, including architecture diagrams, deployment guides, and operational procedures.

• Your main goal will be to drive company-wide adoption of AI and automation to create a modern, efficient, and enjoyable workplace, and turn n8n into a visible exemplar of how SaaS companies work with AI. • You will combine strategic leadership, hands-on automation expertise, governance rigor, and strong executive influence to scale AI impact responsibly across the company. • Internal adoption & transformation programs • Design and run company-wide AI and automation programs, including hackathons, enablement tracks, and structured dogfooding initiatives that increase meaningful daily usage. • Build repeatable adoption frameworks with clear success metrics, covering participation, satisfaction, and measurable business impact. • Act as an internal consultant to leadership and functional teams, identifying high-leverage opportunities and guiding them from idea to implementation. • Partner with People Ops to embed AI and automation capabilities into onboarding, learning and development, performance rituals, and leadership expectations. • Influence teams that do not report to you, driving alignment and navigating tradeoffs at executive level. • Business impact, measurement & ROI discipline • Define and track impact metrics beyond adoption, including cycle time reduction, quality improvements, error rate reduction, cost avoidance, and productivity gains. • Establish a clear ROI framework for AI and automation initiatives. • Ensure pilots transition into scalable, production-grade workflows with measurable outcomes. • Regularly communicate impact and tradeoffs to executive stakeholders. • AI governance, security & risk management • Define and implement guardrails for responsible AI and automation usage. • Oversee data handling practices, vendor risk assessment, access controls, and prompt or data leakage prevention. • Ensure auditability and traceability of AI-driven workflows where required. • Balance speed and experimentation with privacy, compliance, and long-term scalability. • Partner with Security, Legal, and IT to align on policies and standards. • AI watch & strategic insights • Lead a structured AI watch to track market trends, peer practices, regulatory evolution, and emerging tools. • Translate insights into prioritized pilots, internal playbooks, and process improvements. • Provide executive guidance on tool selection, vendor strategy, and build versus buy decisions. • Content, storytelling & evangelism • Ensure the creation of reusable internal assets, playbooks, and reference implementations. • Collaborate with Marketing to showcase internal AI and automation practices externally. • Equip Sales and GTM with narratives, demos, and artifacts that demonstrate modern ways of working at n8n. • Team leadership, hiring & org design • Lead the Automation team, directly managing one manager and team while scaling from 2 to 15+ in 2026. • Own hiring strategy, org design, role clarity, and leveling as the function scales. • Set vision, OKRs, and performance standards, and coach leaders and ICs for impact. • Build a high-trust, experimentation-driven culture while maintaining delivery discipline. • Ensure strong cross-functional execution with Product, Engineering, Marketing, Sales, Biz Ops, Security, and People.

• Review current ML-based product detections to ensure they are performing to the company standard • Review customer-based reports of false positives and false negatives • Review adversary intrusions and create ML-based security detections as needed • Analyze binary files to determine their legitimacy

Role Description Red Hat's Office of the CTO is looking for a full time AI Engineer to join our team in Ireland. You will join an AI engineering team whose mandate is to improve the performance, safety and reliability of AI enabled applications in both greenfield and brownfield projects. You will collaborate with other engineering teams at Red Hat to develop new features and components, and improve the capabilities of existing intelligent systems. The ideal candidate is energized by working concurrently on a wide variety of projects, independently as well as within a team environment. - Provide technical leadership and engineering to improve the performance, safety, and reliability of AI based intelligent applications. - Collaborate with cross functional teams to drive projects to successful completion and to scale AI focused initiatives across the organisation. - Participate and gain standing in upstream communities of interest. - Design and conduct experiments to understand the behavior of AI models and their surrounding application systems. - Make informed, data centric decisions on the applicability of adopting certain tools and how best to deploy and enable them within projects. - Apply a data driven approach to application or system changes, including large scale performance benchmarking. - Work with applications in cloud native settings, including Kubernetes and containerized deployments. - Communicate about projects, AI and data science technologies with a variety of technical and non-technical stakeholders and make Red Hat a leader in the ecosystem. - Publicize innovations through blogs, presentations, conferences and other technical venues. Qualifications - AI/ML related course work or independent project work with evidence of completion. - Advanced programming skills in Python or other high level languages. - Ability to work with Cloud Native technologies and platforms, including Kubernetes and containers. - Understanding of systems design and architecture, as it applies to AI enabled applications. - Strong self-motivation and organizational skills, especially in Agile ways of working. - Ability to work concurrently on multiple projects, independently and within a team environment. - Ability to mentor, grow and support more junior engineers within the organization. - Excellent English written and verbal communication skills. - Collaborative attitude and willingness to share ideas openly. - Comfortable working in ambiguity as emerging technologies mature. Requirements - Experience with Red Hat technologies such as RHEL, OpenShift and Ansible. - Familiarity with Kubernetes and containers and general orchestration approaches. - Passion for developing open source software. - Experience with open source AI/ML models and frameworks. Company Description Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.