AI/ML Technical Architect Lead
Tasks
- Advise leadership on emerging AI technologies
- Collaborate with security and stakeholders
- Conduct cybersecurity risk management and governance
- Design AI/ML solution architecture
- Develop and deploy AI/ML models
- Ensure compliance with risk frameworks
- Implement explainability and bias mitigation
- Integrate AI ML into secure enterprise environments
- Integrate predictive analytics and automation
- Lead AI/ML strategy
- Manage model lifecycle and validation
- Mentor engineers
- Monitor models and optimize performance
- Own MLOps processes
- Transition prototypes into production systems
Perks/Benefits
- 401k match
- Career development resources
- Dental insurance
- Flexible work arrangements
- Health Savings Account medical plan
- Life insurance
- Long-term disability
- Paid Holidays
- Paid time off
- Parental leave
- Short-term disability
- Vision insurance
Skills/Tech-stack
AI Foundry | AWS | AWS SageMaker | Agentic AI | Amazon Bedrock | Authorization management | Azure | Azure AI | Azure AI Foundry | Bias Mitigation | Compliance | Configuration Management | Cybersecurity | Data Governance | Google Cloud | Google Vertex | Google Vertex AI | Incident Response | Java | MLOps | Machine Learning | Model Explainability | Model Monitoring | Public Trust | PyTorch | Python | R | RAG | Retrieval-Augmented Generation | TensorFlow | Threat Assessment | Vertex AI | Zero Trust
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Engineer | Architect | Engineer | Learning Engineer | Machine Learning Engineer | Solutions Architect
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