Lead Cloud Engineer - Data and AI (Hybrid)

Hybrid Flexibility: Work remotely when you need focus time and join us onsite for high-impact collaboration and brainstorming sessions.

Operational Efficiency: Ensure technology solutions support efficient workflows and enable automation to improve operational effectiveness.

Cutting-Edge AI Projects: Drive innovation in AI platforms, integrating advanced tools and frameworks to solve complex business challenges.

Empowered Culture: We value autonomy, creativity, and continuous learning—your ideas shape the future of technology in our organization.

Lead deployment and maintenance of AI infrastructure in Azure and GCP.

Responsible for maintaining Infrastructure as Code for AI and model workloads and compute resources.

Lead strategy meetings to improve shared AI infrastructure and platform services.

Own standards for deploying AI services, model workloads, and inference infrastructure in Azure and GCP.

Lead automation initiatives to improve CI/CD pipelines for AI application teams.

Lead troubleshooting efforts for AI infrastructure, model deployments, and pipeline failures.

Troubleshoot application and model workload deployment issues.