PRINCIPAL AI ARCHITECT
Generative AI, SLM Fine-Tuning & RAG Platforms
Location: Noida / Chennai
Role Level: Principal / Lead / Solution Architect
Employment: Full time
Total Experience: 12+ years overall
Role Overview
Hands-on Principal AI Architect to design and operationalize domain SLM, RAG / GraphRAG, and multi-turn agentic solutions—from enterprise data ingestion and fine-tuning to low-latency serving, APIs, security, observability, HA/DR, and governance.
Key Responsibilities
AI Architecture & SLM Development
• Own enterprise GenAI architecture and build domain SLMs using Gemma, Llama, Qwen, Phi, Mistral, or equivalent models.
• Deliver multi-turn operational workflows for triage, diagnosis, approval-gated remediation, validation, ticket updates, escalation, durable state, resumability, and loop prevention.
Data Preparation & Ingestion
• Build event-driven and scheduled ingestion for PDF, DOCX, PPTX, XLSX, SharePoint, APIs, and approved email folders or attachments using change notifications, delta sync, checkpoints, and reconciliation.
• Implement idempotency,
incremental reprocessing, OCR/parsing, deduplication, malware and PII/secret controls, metadata and ACL preservation, security-trimmed retrieval, durable queues, retries, dead-letter handling, lineage, freshness, and ingestion monitoring.
Fine-Tuning & Alignment
• Lead SFT/instruction tuning, continued pretraining, domain adaptation, LoRA, QLoRA, DoRA, DPO/RLHF, knowledge distillation, quantization-aware optimization, and model compression.
• Engineer training datasets with cleaning, labeling, synthetic data, JSONL/chat formats, versioning, quality gates, and train/validation/test splits.
RAG & Grounded AI
• Architect RAG with chunking, embeddings, hybrid dense/sparse search, metadata filtering, reranking, context assembly, citations, and grounded-ness evaluation using Qdrant or equivalent.
• Build GraphRAG with Neo4j/AuraDB, Amazon Neptune, etc.; apply ontologies, entity resolution, graph traversal
📌 AI Architect – Generative AI, SLM Fine-Tuning (Noida)
🏢 HCLTech
📍 Noida