AI/ML Technical Architect Lead
Tasks
- Build predictive analytics and decision support solutions
- Collaborate with security and stakeholders to deliver AI solutions
- Design develop integrate deploy scalable AI ML models
- Ensure continuous compliance with risk management frameworks
- Integrate AI ML into secure enterprise environments
- Lead AI ML strategy and solution architecture
- Manage MLOps model lifecycle validation monitoring explainability bias mitigation
- Mentor engineers and provide technical guidance
- Own AI ML development lifecycle from prototyping to production
- Support security risk management and governance reviews
- Transition prototype AI capabilities into production systems
Perks/Benefits
- 401k matching
- Career development
- Dental insurance
- Disability coverage
- Flexible work arrangements
- Health insurance
- Life insurance
- Paid Holidays
- Paid time off
- Parental leave
- Vision insurance
Skills/Tech-stack
AI Foundry | AWS | AWS GovCloud | Agentic AI | Amazon Bedrock | Amazon SageMaker | Authorization | Azure | Azure AI | Azure AI Foundry | Bias Mitigation | Configuration Management | Cybersecurity | Data Governance | Google Cloud | Google Vertex | Google Vertex AI | Incident Response | Java | MLOps | Machine Learning | Model Explainability | Model 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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