AI/ML Technical Architect Lead
Tasks
- Collaborate with security and stakeholders
- Design AI/ML solution architecture
- Develop and deploy AI/ML models
- Implement bias mitigation
- Implement model explainability
- Integrate AI ML into secure enterprise environments
- Integrate RAG into AI applications
- Integrate agentic AI solutions
- Lead AI/ML strategy
- Maintain governance and compliance documentation
- Manage model lifecycle monitoring
- Mentor engineers and provide technical guidance
- Oversee MLOps pipelines
- Support cybersecurity threat assessments
Perks/Benefits
- 401k matching
- Career development resources
- Dental insurance
- Flexible work arrangements
- Health insurance
- Internal mobility support
- Paid time off
- Vision insurance
Skills/Tech-stack
AI Foundry | AWS Bedrock | AWS GovCloud | AWS SageMaker | Agentic AI | Authorization Documentation | Azure AI | Azure AI Foundry | Azure Government | Bias Mitigation | Configuration Management | Cybersecurity | Data Governance | Google Cloud | Google Vertex | Google Vertex AI | Incident Response | Incident response documentation | Java | MLOps | Model Explainability | Model Monitoring | PyTorch | Python | R | Response documentation | 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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