Technical Lead – Fogsphere (Computer Vision & Video AI)

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Job Description

Experience: 10+ Years
Location: Fully Onsite – Dubai, UAE office
Employment Type: Full-Time

Relocation: Candidates outside the UAE must be willing to relocate!

Role Overview

We are seeking a highly experienced Technical Lead with deep expertise in Video AI, Computer Vision, Generative AI, and IoT-based platforms to lead and oversee solution design and technical engagements for the Fogsphere platform. This role will act as a technical authority during client interactions, ensuring that all technical proposals, vendor responses, and solution designs are accurate, aligned, and meet customer expectations.

The selected candidate will work closely with clients, vendors, and internal stakeholders, playing a critical role in validating solutions, guiding technical discussions, and ensuring successful delivery.

Key Responsibilities
  • Act as the technical lead for all initiatives related to the Fogsphere Video AI platform
  • Participate in client-facing technical calls, workshops, and solution discussions
  • Review, evaluate, and validate technical proposals and responses from Fogsphere and partner vendors
  • Ensure solutions align with customer requirements, use cases, and architectural best practices
  • Provide end-to-end technical oversight across the Fogsphere solution scope
  • Monitor vendor execution and assess customer feedback to ensure continuous alignment
  • Bridge communication between business teams, customers, and technical stakeholders
  • Identify technical risks, gaps, and dependencies and propose mitigation strategies
  • Support high-level architecture design, solution documentation, and technical governance
  • Ensure effective utilization of Computer Vision AI, Generative AI, and IoT sensor data
Required Skills & Experience
  • 10+ years of experience in solution architecture or technical leadership roles
  • Strong expertise in Video AI and Computer Vision platforms
  • Hands-on experience with Generative AI technologies and AI-driven analytics
  • Solid understanding of IoT architectures and sensor data integration
  • Proven ability to review and validate vendor technical proposals
  • Strong client-facing communication and stakeholder management skills
  • Experience overseeing end-to-end technical solution delivery
  • Ability to translate business requirements into scalable technical architectures
Preferred Qualifications
  • Prior experience with the Fogsphere platform or similar Video AI solutions
  • Background in AI-powered video analytics, smart surveillance, industrial AI, or smart city solutions
  • Experience working in multi-vendor, enterprise-scale environments

Skills: video analytics,computer vision,artificial intelligence

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