AI Engineer
Tasks
- Build automated pipelines for model deployment and infrastructure provisioning
- Collaborate with AI engineers cloud engineers data scientists and operations teams
- Design AI platform architecture for training deployment and monitoring at scale
- Enforce AI governance standards for privacy security and ethical use
- Implement AI platform security identity management encryption and compliance monitoring
- Implement CI CD for reliable deployment
- Integrate AI platform with enterprise systems and Microsoft Fabric data mesh
- Maintain high uptime and implement rapid recovery
- Optimize compute storage and networking for cost and performance
- Provide technical documentation and platform usage guidance
- Set up observability for AI workloads with metrics logs and alerts
Perks/Benefits
- 401k match
- Adoption Assistance
- Dental plan
- Employer paid AD D insurance
- Employer-paid disability insurance
- Employer-paid life insurance
- Gym membership discount program
- Medical insurance
- No-cost mental health support
- Paid Holidays
- Paid time off
- Tuition reimbursement
- Tuition reimbursement program
Skills/Tech-stack
AI Platform | AI Platform Architecture | Alerting | Azure | CI/CD | Compliance Monitoring | Distributed Systems | Docker | Encryption | Enterprise Integration | Identity Management | Infrastructure provisioning | Kubernetes | Logging | MLOps | Metrics | Microsoft Fabric | Model Deployment | Observability | Platform Architecture
Education
Roles
AI | AI Platform Engineer | Engineer | Platform | Platform Engineer
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