Job Description – AI Solution Architect (GenAI & Agentic AI)
Role: AI Solution Architect
Experience: 12+ Years (with 4+ years in AI/ML/GenAI architecture)
Location: Bengaluru
Employment Type: Full time
Job Summary
We are seeking an experienced AI Solution Architect to design, lead, and govern enterprise-scale AI solutions leveraging Generative AI, Agentic AI, and contemporary AI orchestration frameworks. The ideal candidate should possess solid expertise in AI architecture, Large Language Models (LLMs), AI governance, cloud AI platforms, and emerging AI development paradigms including Vibe Coding.
The role involves architecting scalable AI solutions using Vertex AI or Azure AI Foundry, building agentic workflows with LangGraph, defining AI governance controls, and enabling secure enterprise AI adoption while balancing innovation, risk, compliance, and business value
Key Responsibilities
AI Solution Architecture
Design end-to-end GenAI and Agentic AI solutions aligned to enterprise business objectives.
Define scalable AI reference architectures, integration patterns,



and deployment strategies.
Lead architecture reviews and technology decisions for AI platforms and toolchains.
Drive enterprise adoption of AI-first engineering and AI-assisted development practices.

Agentic AI & Orchestration
Architect multi-agent and agentic workflows using LangGraph.
Design deterministic and non-deterministic orchestration strategies.
Implement workflow routing, tool calling, memory management, and reasoning chains.
Define human-in-the-loop approval and exception handling mechanisms.

LLM & Knowledge Architecture
Design Retrieval Augmented Generation (RAG) solutions.
Build and govern:
Knowledge Stores
Context Stores
Vector Databases
Semantic Search Frameworks
Define prompt engineering standards, prompt lifecycle management, and evaluation frameworks.
Optimize AI systems for accuracy, latency, cost, and explainability.

AI Platform Engineering
Architect so

📌 Ai Solution Architect Bengaluru (India)
🏢 HCL INDIA
📍 India