AI/ML Technical Architect Lead
Tasks
- Advise stakeholders on responsible AI and emerging technologies
- Conduct security risk assessments and governance documentation
- Deliver hands on technical leadership across AI ML lifecycle
- Design predictive analytics and automation frameworks
- Develop integrate and deploy AI ML models
- Ensure AI ML compliance with risk management frameworks
- Integrate AI ML into secure enterprise environments
- Lead AI ML strategy and solution architecture
- Mentor engineers and provide technical guidance
- Oversee MLOps model lifecycle monitoring and explainability
- Transition prototypes into production systems
Perks/Benefits
- 401k matching
- Career development opportunities
- Dental insurance
- Disability coverage
- Flexible work arrangements
- Health insurance
- Internal mobility support
- Life insurance
- Paid Holidays
- Paid time off
- Parental leave
- Vision insurance
Skills/Tech-stack
AI Foundry | AWS | AWS Bedrock | AWS SageMaker | Agentic AI | Authorization Documentation | Azure | Azure AI | Azure AI Foundry | Bias Mitigation | Configuration Management | Cybersecurity | Data Governance | Explainable AI | Google Cloud | Google Vertex | Google Vertex AI | Incident Response | Java | MLOps | Machine Learning | Model Monitoring | Model Validation | Public Trust | Public Trust Clearance | PyTorch | Python | R | Retrieval-Augmented Generation | Risk Management | Salesforce | Salesforce Agentforce | Security Risk | Security Risk Management | TensorFlow | Threat Assessment | Vertex AI | Zero Trust
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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