Senior Applied AI Engineer (Manager) TC, FS
Tasks
- Architect enterprise AI services
- Create runbooks and rollback plans
- Drive responsible AI practices
- Engage stakeholders and manage risks
- Ensure production readiness reliability observability security
- Establish evaluation and telemetry monitoring
- Establish reference architectures and reusable accelerators
- Implement LLM and RAG pipelines
- Lead technical delivery
- Lead technical reviews
- Manage release versioning and deployment
- Mentor engineers
- Set technical direction
Perks/Benefits
Skills/Tech-stack
AWS | Azure | CI/CD | Cloud platform | Databricks | Distributed Systems | Docker | Drift monitoring | ELT | ETL | Evaluation | Google Cloud | Google Cloud Platform | IAM | Kubernetes | Language Models | Large Language Models | Model Drift | Model drift monitoring | Network Security | Orchestration | Python | RAG | Release Management | Responsible AI | Rollback | Runbooks | SLI | SLO | SRE | Serverless | Spark | Telemetry Monitoring | TypeScript | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Engineer | AI Engineering | AI Engineering Manager | Applied AI Engineer | Engineer | Engineering Manager | Manager
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