Role Overview:

Lead end-to-end technical delivery of Vision AI solutions, covering solution architecture, CCTV/IP cameras, edge infrastructure, networking, cloud/on-premises integration, security, and deployment readiness through go-live.

Key Responsibilities:

- Own end-to-end Vision AI solution architecture and technical delivery.

- Lead integration across CCTV/IP cameras, edge devices, networks, cloud, and on-premises infrastructure.

- Prepare and maintain TDDs, architecture diagrams, data flows, interface specifications, and BoMs.

- Ensure compliance with security, data privacy, AI governance, and data management requirements.

- Coordinate with vendors, engineering, IT/OT, network, cloud, security, and site teams.

- Manage technical readiness, installation, commissioning,



and go-live.

Mandatory Key Skills:

- Vision AI / Computer Vision

- Solution Architecture and End-to-End Technical Delivery

- CCTV/IP Cameras and Video Analytics

- AI/ML, Edge Computing, Cloud, and On-Premises Infrastructure

- Networking, System Integration, Security, and Access Control

- OT/IT Integration and Industrial Deployments

- Technical Documentation (TDD, Architecture, Data Flows, BoM)

- Vendor Management and Technical Stakeholder Coordination

- Technical Project Management and Deployment/Go-Live Management

📌 Vision Ai Technical Lead (India)
🏢 9NEXUS
📍 India