Staff/ Principa/ MTS Agentic AI Architect – Knowledge Engineering
INR 2000K-4580K (estimate) Senior-level Full Time
Tasks
- Architect MCP connectivity patterns
- Build context aware agent reasoning
- Define agentic AI architecture
- Deliver proof of concepts
- Design LLM wiki knowledge systems
- Design hybrid enterprise AI architecture
- Design multi-agent systems
- Develop knowledge graphs and ontologies
- Develop reference architectures
- Establish AI governance standards
- Implement RAG and GraphRAG solutions
- Implement entity resolution and semantic integration
- Lead AI platform adoption
- Mentor technical teams
- Optimize retrieval and semantic search
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS Neptune | Access Control | Compliance | Context engineering | Cypher | Data alignment | Entity Resolution | Event Driven | Event-driven architecture | Explainability | Faiss | GCP | Graph reasoning | Graph traversal | GraphRAG | Grounding | Information Retrieval | JavaScript | Knowledge representation | Kubernetes | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | Master Data | Master Data Alignment | Memory systems | Microservices | Milvus | Neo4j | Observability | Ontology Engineering | Pinecone | Plan-and-Execute | Property graphs | Python | Qdrant | RAG | RDF/OWL | React | Reflection | Reranking | Responsible AI | SPARQL | Schema mapping | Security | Semantic Modeling | Semantic Search | Taxonomy design | Tool use | Vectorization | Weaviate | Workflow Orchestration
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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