Principal AI Engineer — AI Solutions (Enabling Functions)
Tasks
- Build governed RAG pipelines
- Build multi-agent LLM systems
- Engineer production resilience
- Ensure human gated safe outcomes
- Establish CI/CD and monitoring
- Implement Governance as Code
- Implement data sovereignty routing
- Implement drift and bias monitoring
- Implement fairness and explainability pipelines
- Lead AI solution architecture
- Lead model quality and assurance
- Make model strategy decisions
- Own MLOps lifecycle management
- Perform AI red teaming
Perks/Benefits
- N/A
Skills/Tech-stack
AI red teaming | Agent systems | Approval Workflows | Artificial Intelligence | Audit Logging | Automated testing | Bias monitoring | CI/CD | Capacity Management | Chaos Engineering | Circuit Breakers | Classification and Tiering | Data Lineage | Data Quality | Data Quality Controls | Data Residency | Data Sovereignty | Drift monitoring | Explainability | Fairness testing | Feature Store | Fine Tuning | Foundation Models | Governance-as-code | Graceful Degradation | Human-in-the-loop | Incident Response | Incident response automation | Language Models | Large Language Models | MLOps | Machine Learning | Model Orchestration | Model registration | Model routing | Monitoring pipelines | Multi-Agent | Multi-Agent Systems | Observability | Performance Monitoring | Provider Fallbacks | Quality Controls | RAG | Red Teaming | Response Automation | The Loop | “as-code”
Education
N/A
Roles
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