Chief AI Infrastructure Architect

7 days ago


alwar, India beBeeArtificial Full time

AI ArchitectWe are seeking an experienced AI Architect to lead the design and implementation of our artificial intelligence solutions. The successful candidate will have a strong background in machine learning, deep learning, and software engineering.Machine Learning Expertise:We require 15+ years of experience with at least 10 years in Telecom (4G/5G & IMS) and/or Datacom (Routing, Switching / SD-WAN / Provider Edge).A minimum of 8+ years of hands-on experience with ML Algorithms; Graph Neural Networks, Time-series Forecasting Algorithms (ARIMA, LSTM…)Solid programming skills in Python and proficiency with ML/DL libraries (PyTorch, TensorFlow, Scikit-learn).Strong Technical Skills:Experience in Agentic AI, autonomous multi-agent systems and RAG pipelines.Proven experience building multiple AI/ML solutions for Telecom and Networking use cases.Ability to mentor cross-functional teams on architecture, use cases, and drive architectural direction of products.Data Engineering Expertise:Proven track record in Design and deployment of data pipelines on GCP (BigQuery, Dataflow, Dataproc, Pub/Sub) for batch and real-time streaming.Experience dealing with carrier-class datasets of terabyte scale.Cloud Computing Expertise:Proven experience deploying ML systems on AWS and Databricks.Track record in building scalable AI infrastructure using Kubernetes, Docker, Terraform, EKS, automating deployments.Ensuring high availability with autoscaling and observability.Databases and MLOps:Experience with vector databases (FAISS, Pinecone, Weaviate, etc.).Exposure to MLOps frameworks (MLflow, Kubeflow, Airflow).Communication Skills:Strong communication skills to translate technical results into business insights.



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