Principal AI Solutions Architect

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.