AI/ML Technical Architect Lead
Tasks
- Build predictive analytics and decision support systems
- Design develop integrate deploy AI ML models
- Ensure compliance with cybersecurity and risk frameworks
- Integrate AI ML into secure enterprise environments
- Lead AI ML strategy and solution architecture
- Manage data pipelines and MLOps workflows
- Mentor engineers and guide cross-functional teams
- Monitor model performance explainability and bias mitigation
- Perform security risk management and governance reviews
- Provide hands on technical leadership across AI ML lifecycle
- Transition prototypes into scalable production systems
Perks/Benefits
- 401k match
- Career development resources
- Dental and vision insurance
- Flexible work arrangements
- Medical plan
- Paid Holidays
- Paid time off
Skills/Tech-stack
AI Foundry | AWS Bedrock | AWS GovCloud | AWS SageMaker | Agentic AI | Authorization management | Azure AI | Azure AI Foundry | Azure Government | Bias Mitigation | Cloud Security | Cybersecurity | Data Governance | Google Vertex | Google Vertex AI | Incident Response | Java | Lifecycle Management | MLOps | Machine Learning | Model Explainability | Model Lifecycle | Model Lifecycle Management | Model Monitoring | Public Trust | Public Trust Clearance | PyTorch | Python | R | Retrieval-Augmented Generation | TensorFlow | Threat modeling | Vertex AI | Zero Trust
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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