AI/ML Technical Architect Lead
Tasks
- Design develop integrate and deploy scalable AI ML models
- Develop predictive analytics and automation frameworks
- Ensure compliance with risk management and cybersecurity frameworks
- Implement explainability and bias mitigation
- Integrate AI ML into secure enterprise environments
- Lead AI ML strategy and solution architecture
- Mentor engineers and provide technical guidance
- Oversee MLOps processes and model lifecycle management
- Perform security risk management and governance reviews
- Provide hands on technical leadership across AI ML lifecycle
- Transition prototypes into reliable production systems
Perks/Benefits
- 401k matching
- Career development resources
- Dental insurance
- Flexible work arrangements
- Health insurance
- Internal mobility support
- Life insurance
- Long-term disability
- Paid Holidays
- Paid time off
- Parental leave
- Short-term disability
- Vision insurance
Skills/Tech-stack
AI Foundry | AWS Bedrock | AWS GovCloud | AWS SageMaker | Agentic AI | Azure | Azure AI | Azure AI Foundry | Bias Mitigation | Cloud Security | Data Engineering | Data Governance | Explainable AI | Google Vertex | Google Vertex AI | Java | Lifecycle Management | MLOps | Machine Learning | Model Lifecycle | Model Lifecycle Management | Model Monitoring | PyTorch | Python | R | Retrieval-Augmented Generation | Salesforce | Salesforce Agentforce | TensorFlow | Threat modeling | Vertex AI | Zero Trust
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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