AI/ML Technical Architect Lead
Tasks
- Advise leadership on responsible AI
- Apply explainability and bias mitigation
- Build automation frameworks
- Collaborate with security teams and stakeholders
- Design AI/ML solution architecture
- Develop and deploy AI/ML models
- Ensure compliance with risk management frameworks
- Implement model monitoring and validation
- Integrate AI ML into secure enterprise environments
- Integrate AI/ML models into production systems
- Lead AI/ML strategy
- Lead predictive analytics development
- Mentor engineers
- Oversee MLOps and model lifecycle management
- Support cybersecurity risk management
- Transition prototypes into production
Perks/Benefits
- 401k match
- Dental insurance
- Flexible work arrangements
- Health savings account
- Life insurance
- Long-term disability
- Paid Holidays
- Paid parental leave
- Paid time off
- Short-term disability
- Vision insurance
Skills/Tech-stack
AI Foundry | AWS Bedrock | AWS GovCloud | AWS SageMaker | Agentforce | Agentic AI | Authorization Documentation | Azure AI | Azure AI Foundry | Bias Mitigation | Compliance | Configuration Management | Cybersecurity | Data Governance | Explainable AI | Google Vertex | Google Vertex AI | Incident Response | Java | MLOps | Machine Learning | Model Deployment | Monitoring | PyTorch | Python | R | 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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