Wadhwani Foundation
We are building the next generation of AI-native products and looking for an AI Solution Architect to be a core part of that foundation.
Company: Wadhwani Foundation
Role: AI Solution Architect
Location: India Remote / Hybrid
Role Focus: • Design and own scalable architectures for agentic AI systems and LLM-powered platforms • Architect multi-agent systems • Define system design for RAG pipelines, memory systems, context management, prompt orchestration, and stateful workflows • Build and optimize AI pipelines for latency, cost, scalability, and reliability • Design integration patterns with enterprise systems • Establish observability, tracing, and evaluation frameworks for AI systems • Define guardrails, safety layers, and failure handling mechanisms • Drive best practices in prompt engineering, system design, and AI architecture • Work closely with engineering, product, and research teams
LLM architectures, Generative AI, Agentic orchestration frameworks (LangChain, LangGraph, AutoGen, CrewAI), Embedding models, Context design, Scalability, Performance optimization, Fault tolerance, Cost optimization, Async workflows, Event-driven architectures, Cloud platforms (AWS, Azure, GCP), MLOps / LLMOps workflows, Observability and tracing tools
Recommended resources to build the skills for this position. Sponsored.
Generative AI with Large Language Models
Coursera
Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.
Functions, Tools and Agents with LangChain
Coursera
Advanced LangChain covering function calling, tool use, and conversational agents.
Large Language Models: Application through Production
edX
Production-focused LLM course covering deployment, monitoring, and scaling.