About this role
Develops, maintains and manages enterprise application standards and systems, including database, network and hosting solutions. Drives the development of detailed configuration parameters, custom extensions, workflow and integration solutions. Coordinates with technical / engineering teams to ensure solutions are designed to operate in highly available and reliable environments.
Required Qualifications
- Overall experience: 6–10+ years
- AI platform experience: AI/ML, GenAI, LLM, Copilot, agent, or similar modern AI workloads.
- AI Platform Engineering
- Containers/Kubernetes • AI/GenAI Platforms • AgentOps • Observability & Telemetry
- 3+ years in AI Platform Engineering
- Strong hands-on production operations experience
- Practical experience administering AI/ML, GenAI or agent platforms
- Experience supporting enterprise-scale environments with security, governance, monitoring and automation
- Experience moving applications or agents through Sandbox → Dev → Test → Production
- Strong troubleshooting capability across platform, application, integration, identity and infrastructure layers
- Minimum of 4-6 years of relevant experience or equivalent combination of education and experience in Enterprise Applications.
- Good business English skills (Written and spoken).