Staff Applied AI Engineer
Tasks
- Advise on AI adoption for strategic roadmap
- Architect failure resistant AI systems
- Build high risk components of AI systems
- Build systems for safe multi team delivery
- Coach applied AI engineers
- Define standards for responsible AI
- Delegate technical domain ownership
- Develop evaluation methodologies
- Develop fine tuned model capabilities
- Develop reusable agent capabilities
- Establish model governance practices
- Implement production MLOps practices
- Lead incident resolution for data integrity
- Lead incident resolution for model safety
- Partner with client leadership on AI strategy
- Support recruiting and external representation
Perks/Benefits
- N/A
Skills/Tech-stack
Agent architecture | Artificial Intelligence | Auditability | Cost Optimization | Data Integrity | Data Quality | Fine Tuning | Hallucination mitigation | Latency optimization | MLOps | Machine Learning | Model Evaluation | Model Governance | On-premise | On-premise deployment | Production Deployment | Regulated AI
Education
N/A
Roles
AI | AI Engineer | Applied AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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