AI/ML Technical Architect Lead
Tasks
- Advise on emerging AI technologies responsible AI
- Collaborate with security and business stakeholders
- Design develop integrate deploy AI ML models
- Develop predictive analytics and decision support
- Integrate AI ML into secure enterprise environments
- Lead AI ML strategy and solution architecture
- Mentor engineers and provide technical guidance
- Oversee MLOps processes model lifecycle management monitoring explainability bias mitigation
- Provide hands on technical leadership across lifecycle
- Support security risk assessments governance and compliance
- Transition prototypes into production systems
Perks/Benefits
- 401k matching
- Career development resources
- Dental insurance
- Flexible work arrangements
- Jury duty leave
- Life insurance
- Long-term disability
- Medical insurance
- Paid family leave
- Paid time off
- Parental leave
- Short-term disability
- Vision insurance
Skills/Tech-stack
AI Foundry | AWS GovCloud | AWS SageMaker | Agentic AI | Amazon Bedrock | Azure | Azure AI | Azure AI Foundry | Bias Mitigation | Cybersecurity | Data Governance | Explainable AI | Google Cloud | Google Vertex | Google Vertex AI | Incident Response | Java | MLOps | Machine Learning | Model Monitoring | Public Trust | Public Trust Clearance | PyTorch | Python | R | RAG | Retrieval-Augmented Generation | Salesforce | Salesforce Agentforce | Salesforce Agentforce Implementations | TensorFlow | Threat Assessment | Vertex AI | Zero Trust
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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