Pyyne
Senior AI Infrastucture Engineer
1mo ago
LATAMSeniorRemotecloudautomationinfrastructureaimonitoringitsmcmdb
Senior AI Infrastructure Engineer role designing and operating AI-driven solutions to improve enterprise infrastructure services for a financial client.
Responsibilities
- AI Platform & Integration
- Design and deploy AI platforms that integrate with infrastructure tools, monitoring systems, CMDBs, ITSM platforms, cloud environments, and operational data sources.
- Develop AI-powered workflows that automate routine operational tasks and decision-making processes.
- Integrate large language models (LLMs), AI agents, and machine learning services into infrastructure operations.
- Infrastructure Automation
- Build AI-driven automation for incident response, remediation, patching, provisioning, and operational workflows.
- Develop self-service capabilities that reduce manual support effort through intelligent assistants and virtual agents.
- Automate repetitive engineering and operational tasks using Infrastructure-as-Code (IaC) and AI-assisted orchestration.
- Operational Intelligence & Observability
- Implement AI-powered monitoring, anomaly detection, predictive alerting, and root-cause analysis capabilities.
- Create intelligent operational dashboards that provide actionable insights and recommendations.
- Improve Mean Time to Detect (MTTD) and Mean Time to Resolve (MTTR) through AI-driven event correlation and automation.
- Cloud & Cost Optimization (FinOps)
- Develop AI solutions that continuously analyze infrastructure consumption and identify cost-saving opportunities.
- Implement predictive capacity planning and resource optimization across cloud and on-premises environments.
- Create automated recommendations for rightsizing, reservation management, workload placement, and infrastructure utilization.
- Reliability & Performance Engineering
- Ensure AI platforms and automation solutions operate reliably in production environments.
- Design scalable, resilient architectures capable of supporting enterprise-wide adoption.
- Implement observability, logging, monitoring, and governance controls for AI-enabled infrastructure services.
- 🚀 Don’t meet every single requirement? Apply anyway! At our core, we value growth, adaptability, and passion just as much as a checklist of skills. If you are excited about this role and your experience doesn't align perfectly with every tech requirement, we still encourage you to apply. The only non-negotiable for us is fluent English , as you'll be collaborating daily with global teams. If you’ve got the language skills and the drive to learn, you might be exactly who we are looking for to bring a fresh perspective to our team!
Other
- Pyyne is a modern technology consultancy engineering the next generation of digital products and services.
- At Pyyne, we believe in using technology to unlock business potential, create sustainable growth, and drive forward digital excellence. Our solutions range from advanced Software Engineering, Cloud, and Data & AI solutions.
- Pyyne is seeking a Senior AI Infrastucture Engineer to work as a consultant out of our South American Office. This is a high-impact role for Pyyne as we expand our collaboration with a large financial services client..
- A successful candidate will be responsible for designing, implementing, and operating AI-driven solutions that improve the efficiency, reliability, automation, and cost-effectiveness of enterprise infrastructure services. This role combines cloud engineering, infrastructure operations, automation, and AI technologies to transform traditional IT operations into proactive, intelligent, and self-healing environments.
- Leverage AI, automation, and modern infrastructure platforms to reduce operational overhead, optimize technology spending, improve service availability, and accelerate issue resolution across the enterprise infrastructure landscape.