Edge AI Principal Architect

9 - 15 years

22 - 27 Lacs

Posted:18 hours ago| Platform: Naukri logo

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Job Description

Job Description for Edge AI Principal
Position: IoT and AI Architect for Edge Computing
Location: Noida, Chennai optional Employment Type: Full-time
Overview:
As an IoT and AI Architect for Edge Computing, you will be responsible for designing, developing, and deploying advanced IoT solutions with AI capabilities for edge devices
You will work on integrating AI-driven solutions directly into the edge devices to enhance real-time data processing, reduce latency, and enable efficient decision-making You will collaborate with cross-functional teams to build scalable and resilient architectures that can handle large volumes of data generated at the edge
Key Responsibilities
Architect large-scale, distributed Edge AI systems for real-time inference across thousands of devices
Lead hardware-aware model development optimized for deployment on platforms like NVIDIA Jetson, Qualcomm Snapdragon, Intel Movidius, and ARM Cortex-A/NPU chips
Design pipelines for edge inferencing with low-latency, low-power, and high-accuracy constraints
Lead performance tuning using tools like TensorRT, ONNX Runtime, TVM, and OpenVINO
Build scalable, secure model deployment platforms using NVIDIA Triton, Edge Kubernetes (K3s), and MLOps frameworks
Integrate AI with real-world data sources: video streams, sensor fusion (IMU, LiDAR), audio, etc
Collaborate with firmware, hardware, and platform teams for system-level optimization
Define strategies for OTA model updates, fleet-wide monitoring, and privacy-preserving AI
Stay ahead of emerging trends in tinyML, neural architecture search (NAS), zero-shot inference, and federated learning

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