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About the role
- Hands on Software and AI Architect with 10+ years of experience 2. Should have dealt with full SDLC of a large platform from concept to market (production) 3. Hands on - Should be able to convert business requirements to Technical solutions, provide different views of the end to end system (for e.g., 4+1 view). Should be able to conceptualize Class Diagrams, Components diagrams and use Model Driven Architectures to generate code leveraging AI tools 4. Well versed in both OOPs and functional programming, should be hands on Python, .NET C# platforms, working knowledge on Linux distros 5. Should have designed systems for auto scale and redundancy with two 9s 6. Cloud Technologies - Azure (must), AWS - nice to have, Cloud agnostic technologies like Kubernetes, containerization is a must 7. DevOps - opentofu, terraform 8. AI - Agentic AI architectures, A2A, Agent Development, Orchestration, Langchain, Langgraph, crewai etc. 9. Semantic Layer architectures - Knowledge graphs, graphRAGs, Temporalgraphs, vectorless RAG, notebooks, vector dbs, NoSQL, open Search, Key Value pairs etc 10. AI Session Management - Up-to-date technologies like mem0, zep, langmem etc 11. Integration using Anthropic MCP, legacy integration technologies 12. Knowledge of latest LLMs leveraging them for creating graphs, generating execution plans, using them as Judges etc 13. CyberSecurity, RBAC policies on Azure, AI guardrails development, Leveraging AI and Human in the loop for identifying vulnerabilities 14. Knowledge of working with Solid Works - with automation 15. BoM identification and cost estimation on Azure for end to end architectures 1. Hands on Software and AI Architect with 10+ years of experience 2. Should have dealt with full SDLC of a large platform from concept to market (production) 3. Hands on - Should be able to convert business requirements to Technical solutions, provide different views of the end to end system (for e.g., 4+1 view). Should be able to conceptualize Class Diagrams, Components diagrams and use Model Driven Architectures to generate code leveraging AI tools 4. Well versed in both OOPs and functional programming, should be hands on Python, .NET C# platforms, working knowledge on Linux distros 5. Should have designed systems for auto scale and redundancy with two 9s 6. Cloud Technologies - Azure (must), AWS - nice to have, Cloud agnostic technologies like Kubernetes, containerization is a must 7. DevOps - opentofu, terraform 8. AI - Agentic AI architectures, A2A, Agent Development, Orchestration, Langchain, Langgraph, crewai etc. 9. Semantic Layer architectures - Knowledge graphs, graphRAGs, Temporalgraphs, vectorless RAG, notebooks, vector dbs, NoSQL, open Search, Key Value pairs etc 10. AI Session Management - Up-to-date technologies like mem0, zep, langmem etc 11. Integration using Anthropic MCP, legacy integration technologies 12. Knowledge of latest LLMs leveraging them for creating graphs, generating execution plans, using them as Judges etc 13. CyberSecurity, RBAC policies on Azure, AI guardrails development, Leveraging AI and Human in the loop for identifying vulnerabilities 14. Knowledge of working with Solid Works - with automation 15. BoM identification and cost estimation on Azure for end to end architectures
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