AI/ML Technical Architect Lead
Tasks
- Advise stakeholders on responsible AI
- Build data engineering pipelines
- Design AI/ML solution architecture
- Develop and deploy AI/ML models
- Develop authorization documentation
- Ensure compliance with risk management frameworks
- Implement model explainability
- Integrate AI ML into secure environments
- Integrate AI ML systems into products
- Lead AI/ML strategy
- Lead predictive analytics initiatives
- Manage model lifecycle and validation
- Mentor engineers and guide technical teams
- Mitigate model bias
- Monitor AI/ML models
- Own MLOps processes
- Perform audit readiness and governance reviews
- Support cybersecurity risk management
- Support incident response documentation
- Transition prototypes to production systems
Perks/Benefits
- 401k matching
- Dental insurance
- Flexible work arrangements
- Health insurance
- Life insurance
- Paid Holidays
- Paid parental leave
- Paid time off
- Vision insurance
Skills/Tech-stack
AI Foundry | AWS | AWS GovCloud | Agentic AI | Amazon Bedrock | Amazon SageMaker | Authorization management | Azure | Azure AI | Azure AI Foundry | Azure Government | Bias Mitigation | Cloud platform | Configuration Management | Cybersecurity | Data Governance | Google Cloud | Google Cloud Platform | Incident Response | Java | MLOps | Machine Learning | Model Explainability | Model Monitoring | PyTorch | Python | R | Regulatory Compliance | Retrieval-Augmented Generation | Salesforce | Salesforce Agentforce | TensorFlow | Threat Assessment | Vertex AI | Zero Trust
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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