Artificial Intelligence Architect

To build an integrated digital transformation platform for enterprise and manufacturing customers by combining Artificial Intelligence, IoT, Operational Technology (OT), Cloud Infrastructure, Analytics, ERP systems, and Private Large Language Models (Private LLMs).

The AI Solutions Architect will lead the design, implementation, and deployment of enterprise AI solutions that enable secure, intelligent decision-making across manufacturing plants and enterprise environments.

The role will focus on modernizing existing facilities through IoT and analytics while designing AI-ready digital infrastructure for new facilities. The successful candidate will help establish a scalable AI delivery practice capable of serving enterprise customers across India.

Expected Outcomes will involve Digital Transformation in Manufacturing.

Architect AI initiatives involve:

Smart Manufacturing
Predictive Maintenance
Asset Performance Monitoring
Quality Analytics
Production Optimization
Digital Twin initiatives
Energy Optimization
Factory Automation

Key Roles & Responsibilities

1. AI Strategy & Enterprise Architecture

Define the AI architecture for enterprise and manufacturing customers.
Develop AI adoption roadmaps aligned with customer digital transformation objectives.
Design scalable AI platforms supporting multiple enterprise environments.
Recommend AI technologies, frameworks, and deployment models.

2. Private LLM Architecture

Design and deploy private Large Language Models (LLMs).
Integrate enterprise knowledge repositories with AI models.
Implement retrieval-Augmented Generation (RAG) frameworks.
Ensure secure deployment within customer infrastructure.
Build enterprise AI assistants for different business functions.

3. Enterprise Systems Integration

Integrate AI with:

SAP
Oracle HRMS
CRM platforms
ERP applications
Document Management Systems
Manufacturing Execution Systems (MES)
SCADA
Building Management Systems
CCTV Analytics
IoT Platforms

4. IoT & Operational Technology Integration

Develop AI-enabled solutions integrating:

PLCs
Sensors
Industrial Gateways
SCADA
Building Automation
Edge Computing
Camera Analytics

Transform operational data into actionable business intelligence.

5. Data Platform Development

Design enterprise data architecture including:

Data Lake
Data Warehouse
ETL Pipelines
Streaming Analytics
Metadata Management
AI-ready data pipelines
Ensure enterprise-grade data governance.
Role & responsibilities

Preferred candidate profile