AI Solutions Architect

2 days ago

Thrissur, Kerala, India beBeeArchitect Full time ₹ 1,35,00,000 - ₹ 1,80,00,000
Job Overview

The Opportunity: Develop cutting-edge AI solutions that transform PDFs, CAD/vector drawings, incident reports, and regulations into auditable, evidence-linked decisions. You'll design and implement end-to-end systems (SaaS & on-prem) that prevent accidents, ensure compliance, and save lives—at Fortune-500 scale.

Key Responsibilities:
  • Design multimodal Retrieval Augmented Generator (RAG) models over PDFs (text/tables/images), CAD/vector drawings, MSDS/chemicals, and bilingual (KOR/ENG) regulations.
  • Implement hybrid retrieval (BM25 + dense + metadata + knowledge graph) with reranking; target ≥90% top-k answerability and traceable citations.
  • Build domain embeddings for bilingual technical terminology; craft routing/prompting for audit-ready outputs.
  • Ingest/normalize heterogeneous sources (ERP/MES exports, legacy DBs, SharePoint, IoT streams).
  • Ship 10k+ document-type ingestion with schema validation, redaction, and temporal versioning for regulatory drift.
  • Integrate external APIs (e.g., KOSHA, OSHA, EPA; for finance modules SEC/DART).
  • Orchestrate ensemble decisioning (rules + priors + ML) with SLA < 10s; cost-optimized Large Language Model (LLM) flows (tool-use, caching, distillation).
  • Operate on AWS EKS, Postgres, Pinecone, Temporal/Argo, Prometheus/Grafana; CI/CD with test & eval gates.
  • Build explanation layers (attribution, chain-of-evidence; SHAP/LIME where applicable) and human-in-the-loop feedback.

We are looking for someone with a strong background in building production AI/ML or search systems, and experience with enterprise deployments. The ideal candidate will have expertise in Python 3.11+, SQL, and RAG at scale. Nice-to-have skills include knowledge graphs, VL/Document AI, and orchestration frameworks.

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