Tech S and T-Cloud AI Platform Architect-ISR-Manager-GDSF02
INR 3000K-5000K (estimate) Senior-level Full Time
Tasks
- Architect multi cloud cloud native AI foundations
- Build secure resilient infrastructure for model development training deployment
- Collaborate to productionize AI prototypes and GenAI use cases
- Create platform services for model hosting inference endpoints vector databases prompt orchestration agent runtime and API integration
- Create reusable AI platform reference architectures and templates
- Deploy and orchestrate containers with Docker and Kubernetes
- Design CI CD and deployment pipelines for AI platforms and services
- Design data flows for ingestion transformation feature engineering feature store and vector store
- Design enterprise AI platforms for AI ML GenAI RAG
- Enforce responsible AI compliance and access governance controls
- Establish MLOps and LLMOps capabilities experiment tracking model registry and deployment governance
- Implement centralized observability for AI systems
- Implement model and service monitoring for drift latency and failure diagnostics
- Implement release engineering with blue green canary rollout and rollback
- Integrate AI platforms with batch and real time data pipelines
- Lead automation of AI infrastructure provisioning with Infrastructure as Code
- Lead technical solutioning for AI platform RFPs and PoCs
- Manage cross functional delivery teams and ensure delivery excellence
- Operationalize model training validation packaging deployment monitoring and retraining pipelines
- Oversee end to end AI platform transformation program delivery and operational handover
Perks/Benefits
- N/A
Skills/Tech-stack
AI Pipelines | ARM | AWS | Access Control | Agentic AI | Airflow | Amazon EKS | Automation | Azure | Azure Kubernetes | Azure Kubernetes Service | Azure ML | Azure ML pipelines | Azure Machine Learning | Azure OpenAI | Bedrock | Bicep | Blue-Green Deployment | Blue/green | CI Pipelines | CI services | CI/CD | Canary Deployment | Centralized Logging | Cloud Native | CloudFormation | Cost Optimization | Databricks | Docker | ELT | ETL | Experiment tracking | FastAPI | Feature Store | GCP | GenAI | Google Kubernetes | Google Kubernetes Engine | IAM | Infrastructure as Code | Kafka | Kubeflow | Kubernetes | Kubernetes Engine | Kubernetes Service | LLMOps | ML pipelines | MLOps | MLflow | Machine Learning | Model Registry | Monitoring | Observability | Policy enforcement | Prefect | RAG | REST | Release Engineering | Rollback | SageMaker | Secrets management | Security Architecture | Spark | Telemetry | Terraform | Tracing | Vector Database | Vertex AI | Vertex AI pipelines | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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