AI/ML Technical Architect Lead
Tasks
- Collaborate with security teams and stakeholders
- Design develop integrate and deploy scalable AI ML models
- Develop predictive analytics capabilities and automation frameworks
- Implement bias mitigation and responsible AI practices
- Integrate AI ML into secure enterprise environments
- Lead AI ML strategy and solution architecture
- Manage model lifecycle validation monitoring and explainability
- Mentor junior engineers and guide technical teams
- Oversee data engineering pipelines and MLOps processes
- Provide hands on technical leadership across AI ML lifecycle
- Support security risk management and compliance documentation
- Transition prototypes into reliable production systems
Perks/Benefits
- 401k matching
- Career development
- Dental insurance
- Flexible work arrangements
- Health insurance
- 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 | Authorization management | Azure AI | Azure AI Foundry | Azure Government | Bias Mitigation | Compliance | Configuration Management | Data Governance | Explainable AI | Google Cloud | Google Cloud Vertex | Google Cloud Vertex AI | Incident Response | Java | MLOps | Model Monitoring | PyTorch | Python | R | Retrieval-Augmented Generation | Risk Management | Security Risk | Security Risk Management | TensorFlow | Threat Assessment | Vertex AI | Zero Trust
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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