AI Platform Architect- VP
BCIT Bengaluru Office (MGS), India
INR 2500K-4500K (estimate) Senior-level Full Time
Tasks
- Architect integrations for data governance
- Benchmark infrastructure throughput
- Build AI orchestration APIs
- Collaborate with cloud security and engineering teams
- Conduct design reviews and coding standards
- Create technical roadmaps
- Define LLMOps pipelines
- Deploy and fine-tune LLMs
- Design AI platform architecture
- Ensure compliance with security controls
- Evaluate LLM performance
- Implement observability for AI systems
- Improve model inference efficiency
- Lead model lifecycle management
- Maintain architectural standards and reusable components
- Mentor developers
- Track LLM costs
- Tune infrastructure for low latency
Perks/Benefits
- N/A
Skills/Tech-stack
API Design | AWS | AWS Bedrock | Agentic Workflows | Amazon Elastic Container Registry | Amazon Elastic Container Service | Amazon SageMaker | Container Registry | Containerization | Cost Tracking | Data Governance | Databricks | Elastic Container Registry | Elastic Container Service | Embeddings | Fine Tuning | Generative AI | Grafana | Infrastructure as Code | Kubeflow | Kubernetes | LLMOps | Language Models | Large Language Models | MLOps | MLflow | Machine Learning | Model Deployment | Model Evaluation | Model Fine-tuning | Model Risk Management | Model risk | Observability | Prometheus | Python | Responsible AI | Retrieval Pipelines | Risk Management | Security Compliance | Vector Databases | “as-code”
Education
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