AI/ML Technical Architect Lead
Tasks
- Advise leadership on responsible AI modernization
- Build predictive analytics and decision support
- Design AI/ML solution architecture
- Develop integrate deploy AI ML models
- Ensure continuous compliance with risk frameworks
- Establish monitoring validation explainability bias mitigation
- Implement MLOps and model lifecycle management
- Integrate AI ML into secure regulated environments
- Lead AI/ML strategy
- Manage security risk documentation and governance reviews
- Mentor engineers and provide technical guidance
Perks/Benefits
- 401k matching
- Career development resources
- Dental insurance
- Flexible work arrangements
- Health savings account
- Internal mobility support
- Life insurance
- Long-term disability
- Medical plan
- Paid Holidays
- Paid family leave
- Paid time off
- Short-term disability
- Vision insurance
Skills/Tech-stack
AI Foundry | AWS | AWS Bedrock | AWS GovCloud | Agentforce | Agentic AI | Amazon SageMaker | Authorization Documentation | Azure | Azure AI | Azure AI Foundry | Bias Mitigation | Cloud platform | Configuration Management | Cybersecurity | Data Governance | Google Cloud | Google Cloud Platform | Google Vertex | Google Vertex AI | Incident Response | Java | MLOps | Model Explainability | Model Monitoring | Public Trust | PyTorch | Python | R | RAG | Retrieval-Augmented Generation | Salesforce | TensorFlow | Threat Assessment | Vertex AI | Zero Trust
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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