AI/ML Technical Architect Lead
Tasks
- Collaborate with security and business stakeholders
- Conduct security risk assessments
- Design AI/ML solution architecture
- Develop and deploy AI/ML models
- Ensure explainability and responsible AI
- Implement MLOps pipelines
- Integrate AI ML systems into enterprise environments
- Integrate AI ML with secure compliant workflows
- Lead AI/ML strategy
- Maintain continuous compliance
- Manage model lifecycle monitoring and validation
- Mentor engineers
- Mitigate model bias
- Support authorization documentation and audits
- Transition prototypes into production systems
Perks/Benefits
- 401k match
- Career development resources
- Flexible work arrangements
- Health savings account options
- Internal mobility support
- Life insurance
- Long-term disability
- Medical/Dental/Vision insurance
- Paid Holidays
- Paid family leave
- Paid time off
- Short-term disability
Skills/Tech-stack
AI Foundry | AWS GovCloud | AWS SageMaker | Agentic AI | Amazon Bedrock | Authorization Documentation | Azure AI | Azure AI Foundry | Azure Government | Bias Mitigation | Cloud Environments | Cloud Security | Configuration Management | Cybersecurity | Data Governance | Explainable AI | Google Vertex | Google Vertex AI | Incident Response | Java | Lifecycle Management | MLOps | Machine Learning | Model Lifecycle | Model Lifecycle Management | Model Monitoring | PyTorch | Python | R | RAG | Retrieval-Augmented Generation | Salesforce | Salesforce Agentforce | Secure Cloud | Secure cloud environments | TensorFlow | Threat Assessment | Vertex AI | Zero Trust
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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