Lead Architect
Tasks
- Build LLMOps platforms for enterprise GenAI systems
- Create end to end LLM pipelines from ingestion and embedding to evaluation and inference
- Design deploy and scale GenAI and agentic AI applications
- Drive platform automation for LLMOps with Docker Kubernetes GitOps and Terraform
- Implement LLM infrastructure for memory management token control prompt chaining and context optimization
- Implement agent evaluation observability orchestration and reflection loops
- Lead scalable deployment using Kubernetes and GPU aware scaling
- Monitor production model performance and metrics and manage incident response
- Set up guardrails output filtering context aware routing and evaluation harnesses
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Bedrock | AWS SageMaker | Airflow | Azure ML | Bash | BentoML | Delta Lake | Docker | FastAPI | Feast | Fine Tuning | GCP Vertex | GCP Vertex AI | GPU scaling | GitOps | Guardrails | Kubernetes | LLM Fine-tuning | Langchain | Langfuse | MLflow | Model Monitoring | NLP | Observability | OpenAI evals | PEFT | Parquet | Prefect | Prompt engineering | Python | RAG | Ragas | Ray | Spark | Terraform | Vertex AI | YAML
Education
N/A
Roles
AI | AI Architect | Architect | Engineer | Learning Engineer | MLOps Engineer | Machine Learning Engineer
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