Lead Architect
INR 2500K-5000K (estimate) Senior-level Full Time
Tasks
- Architect end-to-end AI solutions
- Create evaluation frameworks and golden datasets
- Define safety guardrails and hallucination control
- Design multi agent orchestration and planning
- Design multimodal agentic systems
- Drive monitoring drift detection and incident response
- Establish reference architectures and design patterns
- Implement persistent memory and grounded retrieval
- Lead enterprise deployment best practices
- Lead solution architecture and technical direction
- Mentor AI engineers and run technical reviews
- Partner with engineering data science product and DX leadership
- Perform red teaming and adversarial testing
- Run automated and human in the loop evaluations
- Set production readiness standards
- Set technical hiring bar and interview process
- Support pre-sales and solutioning
- Translate business problems into AI roadmaps
Perks/Benefits
Skills/Tech-stack
AWS | Agent Orchestration | Agentic RAG | Autogen | Azure | CI/CD | CNN | Cloud platform | Computer Vision | Deep learning | Dense retrieval | Distillation | Django | Embeddings | Entity Linking | FastAPI | Fine Tuning | Flask | Flink | GPU | Generative AI | Google Cloud | Google Cloud Platform | Graph retrieval | Grounding | Guardrails | Hadoop | Hallucination control | Kafka | Knowledge graphs | LSTM | Langgraph | Language Models | Large Language Models | Linear Algebra | Llamaindex | LoRA | MLOps | Model Serving | MongoDB | Multi-Agent | Multi-agent orchestration | NLP | Observability | Optimization | Persistent memory | Planning | Probability | Prompt engineering | Python | QLoRA | Quantization | RAG | RLAIF | RLHF | RNN | Red Teaming | SFT | SQL | Small Language Models | Spark | Statistics | Time Series | Tool use | Transformers | Vector Search
Education
N/A
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