Technical Lead - AI-Powered Design-to-Pricing Platform

webspiders

kolkata 5 Years Exp Posted 62d ago

Architect unified PostgreSQL + Elasticsearch schema; design SAP ERP ingestion layer; oversee batch import pipelines
Define web crawler architecture; lead WGSN/Nitva API integration design; review external data normalisation
Design analytics dashboard APIs; define cost master data models; own pricing engine architecture
Lead AI image generation pipeline architecture; design model serving & inference layer; define prompt engineering workflows
Architect collaboration portal APIs; design annotation & file upload services; define CLO 3D ingestion contracts
Design auto-proposal generation engine; architect ESG impact matrix & capacity-aware scheduling backend
Own core platform architecture (FastAPI, PostgreSQL, Next.js); define Auth/RBAC; set up CI/CD pipelines; lead AI-native processes
Architect QR tracking system; design production transparency data flows

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Key Responsibilities:

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Architecture & Technical Leadership

Design and own the platform architecture across all modules — from API design and data modelling to AI integration and infrastructure.
Define and enforce coding standards, design patterns, and review practices across a team of full-stack, frontend, AI/ML, and QA engineers.
Lead architecture decisions for the FastAPI backend, PostgreSQL schema design, Elasticsearch indexing strategy, and AWS/GCP deployment topology.
Produce and maintain architecture decision records (ADRs), API specifications, and technical design documents.

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Backend & API Development

Architect and directly contribute to REST API development using FastAPI (Python), covering all platform modules.
Define and oversee API versioning, JWT/OAuth authentication flows, and RBAC implementation across the platform.
Design the integration API specifications for SAP ERP data feeds, Excel/GSheets ingestion, and third-party APIs (WGSN, Nitva).
Own the cost master and dynamic pricing engine — defining architecture for complex calculations covering knitting, dyeing, print, embroidery, and making costs with brand-specific margin rules.

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Data Pipelines & ERP Integration

Architect the end-to-end data ingestion layer for SAP ERP exports, Excel/GSheets feeds, and external APIs.
Define data schemas, transformation logic, and validation pipelines for all data feeds (material master, cost master, order history, capacity, CLO 3D outputs).
Lead cross-team integration testing and contract testing against data systems.
Design Celery-based or equivalent task queue architecture for asynchronous data processing.

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AI / ML Integration

Architect the AI/ML integration layer — connecting image generation APIs (for mood boards and collection creation), NLP services, and recommendation engines into the platform workflow.
Define the model serving and inference pipeline in collaboration with the AI/ML engineer.
Lead the AI image generation, and own the end-to-end collection workflow architecture..
Evaluate and select AI API providers (image generation, NLP) based on capability, cost, and integration complexity.

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Delivery, Quality & Client Engagement

Lead sprint demos and weekly stakeholder reviews with client team.
Own the dependency tracker with client team — ensuring data inputs per the Data Responsibility Matrix are tracked and escalated as needed.
Drive automated testing strategy: unit, integration, and contract tests across all services.
Own CI/CD pipeline setup, Docker containerisation, and production deployment on AWS/GCP.
Serve as the primary technical escalation point for technical issues.