Senior AI Systems Engineer
Raleigh, North Carolina, United States; Albuquerque, New Mexico, United States
R
USD 130K-195K (estimate) Senior-level Full Time
Tasks
- Build and maintain CI/CD and MLOps pipelines
- Deploy AI services into production environments
- Design implement monitor and optimize AI infrastructure
- Develop and maintain technical documentation runbooks and architecture diagrams
- Ensure security compliance and governance for AI systems
- Evaluate emerging AI tools and frameworks
- Implement infrastructure automation with infrastructure as code
- Lead AI platform deployment integration and operational support
- Maintain observability with logging metrics and alerting
- Operationalize machine learning workflows
- Package test deploy and rollback models
- Provide technical support troubleshooting and root cause analysis
Perks/Benefits
Skills/Tech-stack
Alerting | Bash | CI/CD | CMMC | Configuration Management | Containers | Git | HPC | Hugging Face | Incident Response | Infrastructure as Code | Kubeflow | Kubernetes | Logging | MLOps | MLflow | Machine Learning | Metrics | Monitoring | NIST | OAuth | PyTorch | Python | VLLM | “as-code”
Education
Roles
AI | AI Systems Engineer | Engineer | Senior AI Systems Engineer | Systems Engineer
Regions
Countries
States
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