Senior AI Architect
Tasks
- Build model training pipelines
- Conduct subsystem architecture reviews
- Create Architecture Decision Records
- Define AI toolchain standards
- Define MLOps and LLMOps requirements
- Define enterprise AI reference architectures
- Deploy AI models with monitoring
- Design AI design practices and documentation standards
- Establish AI architecture standards
- Implement drift detection and retraining governance
- Integrate AI into engineering standard work and QMS
- Lead AI assisted workflow integration
- Maintain reusable AI solution patterns
- Mentor embedded AI architects
- Provide input to AI governance reviews
- Serve as technical escalation point for high risk AI
- Support architecture tradeoff decisions
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agentic Workflows | Architecture Decision | Architecture Decision Records | Architecture standards | Artificial Intelligence | Azure | Cloud infrastructure | Computer Vision | Data Pipelines | Decision records | Deep learning | Drift Detection | FMEA | GCP | Generative AI | LLMOps | MLOps | Machine Learning | Model Deployment | Model Monitoring | Model Serving | Orchestration | Physics-informed modeling | Reference Architecture | Retraining Governance | Retrieval-Augmented Generation | Series analysis | Supervised Learning | Time Series | Time Series Analysis
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Regions
Countries
States
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