Lead AI Architect
San Francisco, CA, United States
USD 157K-254K Senior-level Full Time
Tasks
- Architect scalable data platforms for AI ML workloads
- Create technical specifications and architectural blueprints
- Design and implement cloud-based AI infrastructure
- Design end-to-end AI architectures
- Develop AI strategies and roadmaps
- Establish AI best practices for development deployment maintenance
- Evaluate select and integrate AI technologies
- Guide machine learning models and algorithms
- Implement data governance and data quality standards
- Integrate AI solutions with enterprise infrastructure
- Lead cross-functional AI projects
- Mentor team members and promote AI literacy
- Optimize MLOps workflows and deployment
- Optimize system performance and resource utilization
Perks/Benefits
- Compassionate care leave
- Employer paid health benefits
- Learning and development
- Paid parental leave
- Paid time off
- Retirement plans
Skills/Tech-stack
AWS | Autogen | Azure | C++ | Cloud platform | Computer Vision | CrewAI | Data Modeling | Data Testing | Data pipeline | Data pipeline automation | Deep learning | Docker | Elasticsearch | GNN | Google Cloud | Google Cloud Platform | GraphQL | Hadoop | Java | Kafka | Keras | Knowledge graph | Kubeflow | Kubernetes | Langchain | Langgraph | MLflow | Machine Learning | Microservices | NLP | NoSQL | Pipeline Automation | PyTorch | Python | R | REST API | Robotics | SQL | Scala | Scikit-learn | Semantic Kernel | Snowflake | Spark | TensorFlow | Vector Databases | Workflow Orchestration
Education
Roles
AI | AI Architect | Architect | Learning Architect | Machine Learning Architect
Regions
Countries
States
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