AI/ML Technical Architect Lead
Tasks
- Build predictive analytics and decision support
- Collaborate with cross functional teams for secure AI delivery
- Conduct security risk assessments and governance reviews
- Design MLOps processes and model lifecycle management
- Develop integrate and deploy AI ML models
- Ensure compliance with cybersecurity and risk frameworks
- Implement monitoring validation explainability and bias mitigation
- Integrate AI ML into secure enterprise environments
- Lead AI ML strategy and solution architecture
- Mentor junior engineers
- Transition prototypes into production systems
Perks/Benefits
- 401k matching
- Career development resources
- Comprehensive medical plan
- Dental insurance
- Disability insurance
- Flexible work arrangements
- Internal mobility support
- Learning opportunities
- Life insurance
- Limited travel
- Paid Holidays
- Paid time off
- Parental leave
- Vision insurance
Skills/Tech-stack
AI Foundry | AWS Bedrock | AWS GovCloud | AWS SageMaker | Agentic AI | Azure AI | Azure AI Foundry | Azure Government | Bias Mitigation | Cloud Computing | Cybersecurity | Data Governance | Explainable AI | Google Vertex | Google Vertex AI | Java | MLOps | Machine Learning | Model Monitoring | PyTorch | Python | R | Retrieval-Augmented Generation | Salesforce | Salesforce Agentforce | TensorFlow | Vertex AI | Zero Trust
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Engineer | Architect | Engineer | Learning Engineer | Machine Learning Engineer | Software Engineer | Solutions Architect
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