AI/ML Technical Architect Lead
Tasks
- Advise stakeholders on responsible AI
- Build automation frameworks
- Build predictive analytics capabilities
- Design AI/ML solution architecture
- Develop & deploy AI/ML models
- Implement bias mitigation
- Implement model explainability
- Integrate AI ML with cybersecurity requirements
- Integrate AI/ML into enterprise systems
- Lead AI/ML strategy
- Lead MLOps processes
- Maintain compliance with governance frameworks
- Manage model lifecycle monitoring
- Mentor engineers and provide technical guidance
- Support security risk management documentation
- Transition prototypes to production
Perks/Benefits
- 401-K matching
- Comprehensive medical coverage
- Dental insurance
- Disability coverage
- Flexible work arrangements
- Health savings account options
- Jury duty leave
- Life insurance
- Paid Holidays
- Paid time off
- Parental leave
- Vision insurance
Skills/Tech-stack
AI Foundry | AWS Bedrock | AWS GovCloud | AWS SageMaker | Agentic AI | Azure AI | Azure AI Foundry | Bias Mitigation | Configuration Management | Data Governance | Deep learning | Google Vertex | Google Vertex AI | Incident Response | Java | MLOps | Machine Learning | Model Explainability | Model Monitoring | Public Trust | Public Trust Clearance | PyTorch | Python | R | Retrieval-Augmented Generation | Salesforce | Salesforce Agentforce | TensorFlow | Threat Assessment | Vertex AI | Zero Trust
Education
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