Edge AI Principal Architect

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