Principal AI/ML Architect
Tasks
- Architect GenAI agent systems
- Build RAG pipelines
- Collaborate with data science credit and product teams
- Deploy GenAI models and agents
- Develop feature store platform
- Govern and optimize AI model data
- Integrate AWS analytics data services
- Lead MLOps integration
- Maintain low latency data for real time decisions
- Manage server infrastructure for AI workloads
- Optimize EC2 for model hosting
- Present architecture proposals to executives
- Scale AI infrastructure for production
- Support batch model training
Perks/Benefits
- N/A
Skills/Tech-stack
AWS AgentCore | AWS Athena | AWS Bedrock | AWS Glue | AWS SageMaker | AWS Strands | AWS Strands Agents | Amazon EC2 | Amazon EKS | Data Catalog | Data Engineering | ETL | Feature Store | Generative AI | Glue Data Catalog | Kubernetes | MLOps | Machine Learning | OpenAI | OpenSearch | RAG | Retrieval-Augmented Generation | S3 | Strands Agents | Vector Databases
Education
N/A
Roles
AI | AI/ML Architect | Architect | ML Architect | Principal | Principal AI/ML Architect
Regions
Countries
States
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