Lead AI Architect
PA, Working at Home - Pennsylvania, United States
USD 118K-196K Senior-level Full Time
Tasks
- Architect distributed systems and microservices
- Build inference engine and model deployment architecture
- Define API design and integration patterns
- Define end to end AI system architecture
- Design data pipelines and storage for AI systems
- Design data schemas for structured and unstructured data
- Design human in the loop systems and guardrails
- Design scalable secure AI ecosystems
- Document architectural patterns and present to executive leadership
- Ensure GDPR CCPA compliance and AI safety
- Establish MLOps best practices for versioning and deployment
- Integrate AI solutions with enterprise infrastructure
- Lead technical design reviews and architecture assessments
- Optimize cloud cost for GPU and TPU resources
- Select AI tech stack including LLMs and vector databases
- Use infrastructure as code to manage AI infrastructure
Perks/Benefits
Skills/Tech-stack
API Design | AWS | Amazon SageMaker | Ansible | Azure | Azure Machine Learning | BentoML | Cloud Native | Data Pipelines | Data schemas | Distributed Systems | Fine Tuning | GCP | Generative AI | Google Vertex | Google Vertex AI | Hadoop | Human-in-the-loop | Inference Engines | JSON | Kubeflow | MLOps | MLflow | Machine Learning | Microservices Architecture | Model versioning | PyTorch | Retrieval-Augmented Generation | SQL | TensorFlow | Terraform | The Loop | Transformer Architectures | Vector Databases | Vertex AI
Education
Roles
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