On-Prem Solution Architect

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Awareye is a rapidly growing US-based Vision AI startup specializing in scalable, AI-driven camera systems designed for various industries, including packaging, logistics, surveillance, and crowd control. Using cutting-edge vision AI models, frameworks like DeepStream SDK, and real-time media streaming workflows, Awareye integrates seamlessly with existing camera setups to provide real-time insights for operational efficiency and anomaly detection. The company is at the forefront of delivering vision AI solutions that transform traditional camera systems into intelligent tools for decision-making and automation across multiple industries.

We are seeking an experienced On-Prem Solution Architect to design and implement large-scale on-premise AI systems for our enterprise clients. This role involves working closely with clients to assess their infrastructure, understand technical requirements, and architect scalable AI-driven vision solutions that run on-premise. The successful candidate will possess deep technical expertise in AI, computer vision, and enterprise-grade on-prem deployment models, ensuring seamless integration and robust performance across various environments.

In this role, you’ll be working directly with industry veterans and IIT alumni, Anoop Mishra and Mandeep Chauhan, the co-founders of Awareye. With decades of combined expertise in AI, machine learning, and industrial technology, our team is driving innovation and transforming industries with advanced computer vision AI solutions.

Key Responsibilities

  • Solution Design & Architecture: Design on-premise solutions that integrate Awareye’s AI-driven multi-camera systems with clients' existing infrastructure. Ensure scalability, performance, and security across all deployments.
  • Client Consultation: Engage with enterprise clients to understand their business objectives and technical requirements. Design bespoke solutions to meet the specific needs of large-scale operations, such as manufacturing plants or logistics hubs.
  • Integration with Existing Systems: Assess and integrate Awareye’s vision AI technology with client-side hardware, including CCTV cameras, servers, and networking equipment, ensuring optimal performance with existing resources.
  • Deployment and Implementation: Lead on-prem deployment efforts, ensuring that the AI systems are correctly configured, tested, and implemented on client sites. Collaborate with internal teams to ensure smooth execution and troubleshooting.
  • Cross-Functional Collaboration: Work with R&D, product, and engineering teams to ensure that the solution architecture aligns with Awareye’s overall product roadmap. Provide feedback for continuous improvement of the platform.
  • Security & Compliance: Design solutions with a focus on data security and compliance, ensuring that sensitive client data remains protected in on-prem deployments.
  • Technical Documentation: Create detailed technical documentation and architecture blueprints for each project, ensuring that clients and internal teams can refer to accurate system designs and workflows.

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • 6+ years of experience in solution architecture, preferably with AI, Vision AI, or computer vision systems.
  • Strong expertise in designing on-premise solutions for large-scale, enterprise environments, especially in industries like logistics, surveillance, or manufacturing.
  • Hands-on experience with AI frameworks like PyTorch, YOLO, and Nvidia DeepStream SDK.
  • Expertise in server configuration, network protocols, and hardware integration for large-scale video analytics and AI solutions.
  • Experience working with CCTV and IP camera systems, including protocols like RTSP and HLS.
  • Deep understanding of security, compliance, and data protection protocols in enterprise on-prem environments.
  • Excellent communication skills to work closely with clients, stakeholders, and cross-functional teams.

Preferred Experience

  • Knowledge of cloud-to-edge hybrid deployments.
  • Familiarity with containerization technologies like Docker and orchestration platforms such as Kubernetes.
  • Experience with GPU-accelerated systems and real-time processing requirements for vision AI tasks.

Awareye offers competitive compensation packages and the opportunity to work in a rapidly growing AI company that is shaping the future of vision-based automation and decision-making. If you are excited about building AI-driven solutions that solve real-world problems, we’d love to hear from you!

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