AI/ML Technical Architect Lead
Tasks
- Advise leadership on responsible AI
- Build automation frameworks
- Build predictive analytics
- Collaborate with security teams and stakeholders
- Design AI/ML solution architecture
- Develop and deploy AI/ML models
- Ensure continuous compliance
- Implement model monitoring
- Implement model validation
- Integrate AI ML into secure enterprise environments
- Integrate AI/ML systems
- Lead AI/ML strategy
- Maintain authorization documentation
- Manage explainability and bias mitigation
- Manage model lifecycle
- Mentor junior engineers
- Oversee data engineering pipelines
- Provide hands-on technical leadership
- Support audits and governance reviews
- Support incident response documentation
- Support threat assessments
- Transition prototypes to production systems
Perks/Benefits
- 401k matching
- Career development resources
- Dental insurance
- Flexible work arrangements
- Health insurance
- Internal mobility support
- Learning opportunities
- Life insurance
- Long-term disability
- Paid Holidays
- Paid time off
- Parental leave
- Short-term disability
- Vision insurance
Skills/Tech-stack
AI Foundry | AWS | AWS GovCloud | Agentforce | Agentic AI | Amazon Bedrock | Amazon SageMaker | Azure | Azure AI | Azure AI Foundry | Azure Government | Cybersecurity | Data Governance | Google Cloud | Google Vertex | Google Vertex AI | Java | MLOps | Machine Learning | Public Trust | Public Trust Clearance | PyTorch | Python | R | Regulatory Compliance | Retrieval-Augmented Generation | Salesforce | TensorFlow | Vertex AI | Zero Trust
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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