Principal AI Solutions Architect

Aperts Digital FZCO; Dubai; On-site; AED 300,000 - 550,000; Full time

Job summary

Aperts Digital FZCO in Dubai seeks a Solution Architect & Lead Software Engineer to own end-to-end technical design of AI video-analytics solutions, spanning models, backend services, and infrastructure, and to lead engineering teams through delivery.

You will support presales, translate client requirements into robust solution proposals, define microservices and APIs, and provide technical leadership, mentoring, and code review across teams.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 12–18 years of software engineering experience with architecture and leadership.
• Proven experience designing scalable, secure distributed systems.

Responsibilities

• Design end-to-end systems that integrate AI models, backend services, and infrastructure into production-grade solutions.
• Architect video-ingestion pipelines using RTSP, ONVIF, and other streaming protocols.
• Design cloud (AWS / Azure / GCP) and edge architectures, including GPU infrastructure and edge-device planning.
• Define microservices and APIs (REST / gRPC) with high availability, scalability, and security built in.
• Lead the integration of AI models into enterprise systems.
• Support presales and client-facing engagements, producing solution proposals and architecture designs.
• Provide technical leadership, mentoring, and code review across engineering teams.

Skills

End-to-end design

Cloud & edge architecture

Streaming pipelines

Microservices & APIs

Team leadership

Presales support

Client-facing communication

Education

Bachelor's or Master's in CS/Engineering or related field

Tools

AWS

Azure

GCP

RTSP

ONVIF

gRPC

REST APIs

GPU infrastructure

Job description

Job Description:

As a Solution Architect & Lead Software Engineer, you will own the end-to-end technical design of AI video-analytics solutions — spanning AI models, backend services, and infrastructure — and lead engineering teams through delivery. You will also support presales and translate client requirements into robust, scalable solution proposals.

Responsibilities

• Design end-to-end systems that integrate AI models, backend services, and infrastructure into production-grade solutions.
• Architect video-ingestion pipelines using RTSP, ONVIF, and other streaming protocols.
• Design cloud (AWS / Azure / GCP) and edge architectures, including GPU infrastructure and edge-device planning.
• Define microservices and APIs (REST / gRPC) with high availability, scalability, and security built in.
• Lead the integration of AI models into enterprise systems.
• Support presales and client-facing engagements, producing solution proposals and architecture designs.
• Provide technical leadership, mentoring, and code review across engineering teams.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 12 – 18 years of software-engineering experience, including significant time in architecture and technical leadership.
• Proven experience designing scalable, secure, distributed systems.
• Strong background in cloud and edge architecture (AWS / Azure preferred) and GPU infrastructure.
• Hands-on experience with streaming / video pipelines and microservice / API design.
• Excellent client-facing, communication, and solution-proposal skills.