Solution Architect & Lead SE Engineer
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Key skills for this role
About the Role
We are seeking a Solution Architect & Lead Software Engineer to own end-to-end technical design of AI video-analytics solutions. You will lead engineering teams, design cloud/edge architectures, and support presales.
Key Skills for This Role
Responsibilities
- Design end to end systems integrating 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
- Lead 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
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or 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
Full Job Posting
Position Summary
- As a Solution Architect & Lead Software Engineer, you will own the end to end technical design of AIQ's AI video analytics solutions.
- You will lead engineering teams through delivery and support presales, translating client requirements into 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.
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