AI Platform Architect- VP
BCIT Bengaluru Office (MGS), India
INR 2500K-4500K (estimate) Senior-level Full Time
Tasks
- Architect integration with data platforms
- Benchmark and tune infrastructure
- Build LLMOps pipelines
- Conduct design reviews and coding standards
- Create technical roadmaps
- Deploy and fine-tune LLMs
- Design AI platform architecture
- Develop model lifecycle management
- Ensure security and regulatory compliance
- Evaluate LLM performance
- Implement cost tracking for models
- Lead AI infrastructure implementation
- Maintain architectural standards and reusable components
- Mentor engineering teams
- Optimize throughput and latency
- Provide observability and monitoring
Perks/Benefits
- N/A
Skills/Tech-stack
API Design | AWS Bedrock | Agentic Workflows | Amazon Elastic Container Registry | Amazon Elastic Container Service | Amazon SageMaker | Amazon Web Services | Container Registry | Containerization | Data Governance | Databricks | Databricks Domino | Elastic Container Registry | Elastic Container Service | Embedding stores | Fine Tuning | Grafana | Infrastructure as Code | Kubeflow | Kubernetes | LLMOps | MLflow | Model Deployment | Model Evaluation | Model Fine-tuning | Model Risk Management | Model risk | Observability | Prometheus | Python | Responsible AI | Retrieval Pipeline | Risk Management | Vector Database | Web Services | “as-code”
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