AI/ML Technical Architect Lead
Tasks
- Build predictive analytics capabilities
- Design AI/ML solution architecture
- Develop automation frameworks
- Develop integrate deploy AI ML models
- Ensure model explainability and bias mitigation
- Implement MLOps pipelines
- Integrate AI ML into secure enterprise environments
- Integrate data governance in development workflows
- Lead AI/ML strategy
- Maintain continuous compliance
- Manage AI/ML model lifecycle
- Mentor junior engineers
- Monitor models and performance
- Perform threat assessments and authorization documentation
- Provide hands-on technical leadership
- Transition prototypes to production systems
Perks/Benefits
- 401k matching
- Career development resources
- Dental insurance
- Flexible work arrangements
- Health Savings Account medical plan options
- Internal mobility support
- Life insurance
- Long-term disability
- Paid Holidays
- Paid family leave
- Paid time off
- Short-term disability
- Vision insurance
Skills/Tech-stack
AI Foundry | AWS Bedrock | AWS GovCloud | AWS SageMaker | Agentic AI | Azure AI | Azure AI Foundry | Bias Mitigation | Cybersecurity | Data Governance | Deep learning | Google Vertex | Google Vertex AI | Java | MLOps | Machine Learning | Model Explainability | Model Monitoring | PyTorch | Python | R | Retrieval-Augmented Generation | Salesforce | Salesforce Agentforce | Secure Cloud | TensorFlow | Threat modeling | Vertex AI | Zero Trust
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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