AI Engineer
About The Position
Own the enterprise database platform strategy, architecture, governance, and technology roadmap. Lead the transformation from traditional DBA operations to an AI-first Database Platform Engineering model. Drive AI-powered automation for database provisioning, monitoring, maintenance, performance tuning, and incident management. Build and manage self-service database provisioning capabilities to accelerate engineering delivery and reduce manual effort. Ensure database platforms are secure, scalable, resilient, highly available, and cost-efficient across on-premises and cloud environments. Lead database modernization, consolidation, migration, and cloud adoption initiatives. Establish standards, best practices, governance, and lifecycle management for enterprise database platforms. Implement observability, predictive monitoring, and AIOps capabilities to proactively prevent outages and improve reliability. Partner with Engineering, Infrastructure, Security, Architecture, and Application teams to deliver platform services and approved patterns. Drive adoption of Infrastructure-as-Code (IaC), DevOps, CI/CD, and Database-as-a-Service (DBaaS) capabilities. Ensure compliance, data protection, access controls, backup, recovery, and disaster recovery readiness. Mentor and develop database engineers while fostering a culture of automation, innovation, and operational excellence. Evaluate emerging database, AI, and cloud technologies to continuously improve platform capabilities. Optimize platform costs through standardization, automation, capacity planning, and resource utilization.
Requirements
- AI-first Database Platform Engineering model
- AI-powered automation for database provisioning, monitoring, maintenance, performance tuning, and incident management
- Self-service database provisioning capabilities
- Secure, scalable, resilient, highly available, and cost-efficient database platforms across on-premises and cloud environments
- Database modernization, consolidation, migration, and cloud adoption initiatives
- Standards, best practices, governance, and lifecycle management for enterprise database platforms
- Observability, predictive monitoring, and AIOps capabilities
- Infrastructure-as-Code (IaC), DevOps, CI/CD, and Database-as-a-Service (DBaaS) capabilities
- Compliance, data protection, access controls, backup, recovery, and disaster recovery readiness
- Mentoring and developing database engineers
- Culture of automation, innovation, and operational excellence
- Evaluation of emerging database, AI, and cloud technologies
- Optimization of platform costs through standardization, automation, capacity planning, and resource utilization
Responsibilities
- Own the enterprise database platform strategy, architecture, governance, and technology roadmap.
- Lead the transformation from traditional DBA operations to an AI-first Database Platform Engineering model.
- Drive AI-powered automation for database provisioning, monitoring, maintenance, performance tuning, and incident management.
- Build and manage self-service database provisioning capabilities to accelerate engineering delivery and reduce manual effort.
- Ensure database platforms are secure, scalable, resilient, highly available, and cost-efficient across on-premises and cloud environments.
- Lead database modernization, consolidation, migration, and cloud adoption initiatives.
- Establish standards, best practices, governance, and lifecycle management for enterprise database platforms.
- Implement observability, predictive monitoring, and AIOps capabilities to proactively prevent outages and improve reliability.
- Partner with Engineering, Infrastructure, Security, Architecture, and Application teams to deliver platform services and approved patterns.
- Drive adoption of Infrastructure-as-Code (IaC), DevOps, CI/CD, and Database-as-a-Service (DBaaS) capabilities.
- Ensure compliance, data protection, access controls, backup, recovery, and disaster recovery readiness.
- Mentor and develop database engineers while fostering a culture of automation, innovation, and operational excellence.
- Evaluate emerging database, AI, and cloud technologies to continuously improve platform capabilities.
- Optimize platform costs through standardization, automation, capacity planning, and resource utilization.
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What This Job Offers
Job Type
Full-time
Career Level
Executive
Education Level
No Education Listed
