Senior AI Systems Engineer
Raleigh, North Carolina, United States; Albuquerque, New Mexico, United States
R
USD 131K-195K (estimate) Senior-level Full Time
Tasks
- Build MLops pipelines
- Collaborate across teams for AI initiatives
- Conduct root cause analysis
- Design AI infrastructure
- Develop technical documentation and runbooks
- Ensure AI security and compliance
- Evaluate new AI tools and frameworks
- Implement AI infrastructure automation
- Implement logging, metrics, and alerting
- Implement secure architecture reviews
- Integrate AI platforms with enterprise systems
- Lead AI platform deployment
- Maintain CI/CD pipelines for models
- Manage vulnerabilities and audits
- Monitor AI systems observability
- Operationalize machine learning workflows
- Optimize AI performance scalability reliability cost
- Package and test models for deployment
- Perform incident response for AI systems
- Provide operational support for AI services
- Support model deployment and rollback
Perks/Benefits
Skills/Tech-stack
Alerting | Bash | CI/CD | CMMC | Configuration Management | Containers | Git | Hugging Face | Incident Response | Inference Optimization | Infrastructure as Code | Kubeflow | Kubernetes | Langchain | Langgraph | Logging | MLOps | MLflow | Machine Learning | Metrics | Model Deployment | Model Serving | NIST | OAuth | OpenAI | Performance Monitoring | PyTorch | Python | VLLM | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Technology
Roles
AI | AI Systems Engineer | Engineer | Senior AI Systems Engineer | Systems Engineer
Regions
Countries
States
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