AI/ML Technical Architect Lead
Tasks
- Design develop integrate and deploy production AI ML models
- Develop predictive analytics and decision support solutions
- Ensure AI ML compliance with risk management and cybersecurity frameworks
- Integrate AI ML into secure enterprise environments
- Lead AI ML strategy and solution architecture
- Manage model lifecycle validation monitoring explainability and bias mitigation
- Mentor junior engineers and provide technical guidance
- Oversee data engineering pipelines and MLOps processes
- Provide hands on leadership across AI ML lifecycle
- Support security risk management and compliance documentation
- Transition prototypes into reliable scalable production systems
Perks/Benefits
- 401k matching
- Career development resources
- Dental and vision insurance
- Disability coverage
- Flexible work arrangements
- Health savings account medical options
- Internal mobility support
- Life insurance
- Limited travel
- Paid Holidays
- Paid family leave
- Paid time off
Skills/Tech-stack
AI Foundry | AWS GovCloud | AWS SageMaker | Agentic AI | Amazon Bedrock | Authorization Documentation | Azure AI | Azure AI Foundry | Azure Government | Bias Mitigation | Configuration Management | Cybersecurity | Data Governance | Data Pipelines | Explainable AI | Google Vertex | Google Vertex AI | Incident Response | Java | Lifecycle Management | MLOps | Model Lifecycle | Model Lifecycle Management | Model Monitoring | PyTorch | Python | R | Responsible AI | Retrieval-Augmented Generation | Salesforce | Salesforce Agentforce | TensorFlow | Threat Assessment | Vertex AI | Zero Trust
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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