Q3 technologies
AI Solution Architect
Skills
1 month ago
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Important information
Contract type:
Permanent
Salary:
₹2,000,000 – ₹3,500,000 / year
Work mode:
Remote
Published on:
24 September 2026
What they need
Senior AI Solution Architect / Agentic Workflow Lead
Experience: 6+ Years
Location: Remote
Role Summary
We are looking for a Senior AI Solution Architect / Agentic Workflow Lead with 6+ years of experience in designing and delivering production-grade GenAI, RAG, and Agentic AI solutions.
This is a design and technical leadership role requiring strong architecture, hands-on delivery, engineering guidance, and technical design ownership.
Must-Have Skills
6+ years of experience in AI/ML, GenAI, software architecture or related fields.
Strong production experience with RAG embeddings, chunking, hybrid retrieval, reranking, citations and long-document retrieval.
Strong experience with Agentic/Stateful workflows.
Hands-on experience with LangGraph, Semantic Kernel, Temporal, Azure Durable Functions, or equivalent.
Experience with Human-in-the-Loop (HITL) workflows and approval/escalation mechanisms.
Strong knowledge of structured LLM outputs, JSON/schema validation, retries and fallback mechanisms.
Experience designing APIs, data models, workflow states and backend-ready architecture.
Experience with LLMOps, tracing and evaluation, preferably Langfuse.
Strong Azure AI experience, especially:
Azure OpenAI
Azure AI Search
Azure AI Foundry
Azure Functions / Container Apps
Knowledge of Prompt Injection, LLM Security and safe tool execution.
Strong technical leadership and experience guiding engineering teams.
Good to Have
- MCP
- A2A
- Fine-tuning
- Model Distillation
- Multi-Agent Architecture
- Enterprise SaaS experience
Key Responsibilities
- Design end-to-end GenAI and Agentic AI architecture.
- Lead RAG and AI workflow design for production systems.
- Define deterministic vs. AI-driven workflow components.
- Create technical designs, API contracts, schemas and implementation plans.
- Guide and review AI/backend engineers.
- Establish AI evaluation, tracing and regression-testing practices.
- Ensure solutions are secure, scalable, reliable and cost-effective.
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