Lead Architect – AI Enablement & Automation (.NET)
INR 2500K-4500K (estimate) Senior-level Full Time
Tasks
- Architect multi-agent workflow systems
- Create project templates and CI/CD pipelines
- Define AI architectural guardrails
- Design shared AI infrastructure including service layers
- Develop reliable fallback and hallucination detection systems
- Develop reusable SDKs and frameworks
- Establish AI standards for scalability and security
- Implement observability standards for AI systems
- Implement retrieval augmented generation systems
- Lead AI adoption community of practice
- Mentor engineers in vector search prompt engineering and RAG
- Optimize AI model performance and latency
Perks/Benefits
Skills/Tech-stack
.Net 8 | AI Observability | AI Search | AI orchestration | AWS | Agent systems | Autogen | Azure | Azure AI | Azure AI Search | C# | CI/CD | Concurrency management | Cost Optimization | Data Chunking | DevOps | Functions | GCP | Governance | Hybrid search | LLM Evaluation | Langchain | Latency optimization | Memory Management | Mentorship | Microservices | Multi-Agent | Multi-Agent Systems | NuGet | Pinecone | Qdrant | Reliability Engineering | Security design | Semantic Kernel | Stakeholder Communication | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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