Senior Principal AI Engineer — AI Solutions (Enabling Functions) – Global Corporate Affairs
Tasks
- Build RAG pipelines over enterprise corpora
- Build data pipelines and feature stores
- Build fairness and explainability pipelines
- Build production RAG with hallucination guards
- Conduct chaos and resilience testing
- Deliver rapid proofs of concept to pilot and production
- Design multi-agent architectures
- Develop model classification and approval workflows
- Engineer operational resilience with failover
- Establish CI CD for AI delivery
- Establish incident response automation
- Implement Governance as Code
- Implement data quality lineage and controls
- Implement human gated control
- Implement immutable audit logging
- Implement model monitoring and lifecycle management
- Lead AI red-teaming
- Lead end-to-end AI solution design
- Manage model registration and decommissioning
- Monitor drift and bias
- Route models across regions
- Support enterprise AI governance standards
- Translate data sovereignty policy into infrastructure
Perks/Benefits
- N/A
Skills/Tech-stack
AI red teaming | Agent systems | Artificial Intelligence | Audit Logging | Automated testing | Bias monitoring | CI/CD | Chaos Engineering | Circuit Breakers | Classification and Tiering | Data Engineering | Data Lineage | Data Quality | Data Residency | Data Sovereignty | Drift monitoring | Explainability | Fairness | Feature Engineering | Feature Stores | Fine Tuning | Foundation Models | Governance-as-code | Graceful Degradation | Human-in-the-loop | Incident Response | Language Models | Large Language Models | MLOps | Model Monitoring | Model Orchestration | Model registration | Multi-Agent | Multi-Agent Systems | Observability | Operational Resilience | Provider Fallbacks | RAG | Red Teaming | Retrieval-Augmented Generation | Security | The Loop | Workflow automation | “as-code”
Education
N/A
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