Artificial Intelligence Architect

Position: Artificial Intelligence Architect

Experience: 10-15 years

Location: New Delhi

About the Role:

We are looking for an experienced Artificial Intelligence (AI) Architect with expertise in Generative AI, IoT, and Video Analytics to design and deploy advanced AI solutions that drive business transformation. The ideal candidate will have a strong background in AI/ML, deep learning, and cloud-based AI services, with hands-on experience in building scalable AI systems for Gen AI, IoT edge computing, and real-time video analytics.

Key Responsibilities:

- AI/ML & Generative AI Strategy: Define and implement AI strategies, including Generative AI (LLMs, GANs, diffusion models), IoT analytics, and computer vision solutions.

- End-to-End AI Architecture: Design scalable AI/ML pipelines for real-time video analytics, IoT sensor data processing, and Gen AI applications.

Gen AI & Large Language Models (LLMs):

- Architect solutions using GPT, BERT, Llama, and other transformer-based models.

- Implement RAG (Retrieval-Augmented Generation), fine-tuning, and prompt engineering for enterprise use cases.

IoT & Edge AI:

- Develop AI models for IoT edge devices (NVIDIA Jetson, Raspberry Pi, Azure IoT Edge, AWS Greengrass).

- Optimize AI models for low-latency, low-power environments (TensorFlow Lite, ONNX, PyTorch Mobile).

Video & Image Analytics:

- Build real-time video processing systems (object detection, facial recognition, anomaly detection) using OpenCV, YOLO, and CNNs.

- Integrate with surveillance systems, drones, and autonomous vehicles.

Cloud & MLOps:

- Deploy AI models on AWS, Azure, or GCP using SageMaker, MLflow, Kubeflow, and Docker/Kubernetes.

- Implement MLOps pipelines for automated model training, deployment, and monitoring.

Data Engineering for AI:

- Design data pipelines for streaming IoT data, video feeds, and unstructured text (for Gen AI).

- Work with time-series databases (InfluxDB), video storage (S3, Azure Blob), and vector databases (Pinecone, Weaviate).

AI Governance & Security:

- Ensure model explainability, bias mitigation, and compliance with industry regulations.

- Implement secure AI deployments for IoT and video analytics applications.

Required Skills & Qualifications:

- Education: Bachelor's/Master's in Computer Science, AI, Data Science, or related field. PhD is a plus.

- Experience: 10-15 years in AI/ML, with 5+ years in AI architecture and hands-on experience in Generative AI, IoT, and Video Analytics.