AI/ML Technical Architect Lead
Tasks
- Build predictive analytics capabilities
- Contribute to threat assessments and audit documentation
- Create automation frameworks
- Design AI/ML solution architecture
- Develop Agentic AI systems
- Develop RAG solutions
- Develop and deploy AI/ML models
- Ensure explainability and bias mitigation
- Implement MLOps processes
- Integrate AI ML with cybersecurity and governance
- Integrate AI/ML into enterprise systems
- Lead AI/ML strategy
- Lead model lifecycle management
- Mentor engineers and provide technical guidance
- Monitor model performance
- Support compliance and risk assessments
- Transition prototypes to production systems
Perks/Benefits
- 401k matching
- Career development resources
- Company paid medical plans
- Flexible work arrangements
- Health savings account options
- Internal mobility support
- Learning opportunities
- Life insurance
- Long-term disability
- 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 Security | Configuration Management | Data Governance | Google Vertex | Google Vertex AI | Incident Response | Java | MLOps | Machine Learning | Model Explainability | Model Monitoring | Public Trust | Public Trust Clearance | PyTorch | Python | R | Retrieval-Augmented Generation | Salesforce | Salesforce Agentforce | Security Frameworks | TensorFlow | Threat Assessment | Vertex AI | Zero Trust
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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