AI Architect
INR 4000K-5500K (estimate) Senior-level Contract Full Time
Tasks
- Architect ML systems and deep learning models
- Architect RAG pipelines
- Architect data platforms with Delta tables and ACID layers
- Architect enterprise agentic AI frameworks with LangGraph and MCP
- Architect token usage controls with semantic caching
- Build AI microservices and APIs
- Build memory layers with vector databases and knowledge graphs
- Build streaming ingestion pipelines with Kafka
- Configure Azure and AWS cloud native AI architecture
- Define LLMOps evaluation harness and hallucination detection
- Define MLOps and CI CD pipelines
- Define explainability auditability and guardrails
- Deploy secure LLMs across on prem and cloud
- Deploy with Docker and Kubernetes
- Design AI model serving and inference architecture
- Design agentic AI system patterns
- Design cloud native containerized deployments
- Design embeddings and prompt orchestration pipelines
- Design lakehouse medallion architecture
- Design time series forecasting and anomaly detection
- Implement LLM fine tuning pipelines with LoRA
- Implement data governance and privacy compliance
- Implement infrastructure-as-code
- Implement metadata lineage and data quality frameworks
- Implement model governance and telemetry tracing
- Implement monitoring and observability for AI services
- Implement vector database driven semantic search
- Model and query knowledge graphs with Neo4j
- Orchestrate multi agent communication and task handoff
- Set up DevSecOps integrated CI CD for ML pipelines
Perks/Benefits
- N/A
Skills/Tech-stack
AI microservices | API Design | AWS | Agent Orchestration | Airflow | Anomaly Detection | Apache Druid | Apache Spark | Autogen | Azure | CI/CD | CNN | Cloud Native | Cloud Native Architecture | Containerization | CrewAI | Data Architecture | Data Governance | Data Quality | Data mesh | Databricks | Delta Lake | Delta Live Tables | Delta Live) | DevSecOps | Dimensional Modeling | Docker | Domain Adaptation | Dremio | Embedding Pipeline | Evaluation Harness | Faiss | Federated data | Federated data architecture | Fine Tuning | Graph RAG | Guardrails | Hallucination detection | Helm | Human-in-the-loop | Hybrid RAG | Inference architecture | Kafka | Knowledge graph | Kubeflow Pipelines | Kubernetes | LLMOps | LSTM | Langchain | Langgraph | Llamaindex | LoRA | MLOps | Medallion Architecture | Metadata lineage | Milvus | Model Context Protocol | Model Governance | Model Serving | MongoDB | Monitoring and observability | Multi-Agent | Multi-agent orchestration | Neo4j | Operators | PEFT | Pinecone | PostgreSQL | Privacy Compliance | Prompt orchestration) | PyTorch | Retrieval-Augmented Generation | Schema evolution | Scikit-learn | Semantic Caching | Semantic Search | Series forecasting | Telemetry | TensorFlow | Terraform | The Loop | Time Series | Time Series Forecasting | Tracing | Transformer | Vector Database | XGBoost
Education
Roles
AI | AI Architect | Architect | Learning Architect | Machine Learning Architect
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