Senior AI Architect - GenAI & Recommendation Systems
Core
Senior AI Architect leading the full lifecycle of custom transformer model development and technical strategy for client-facing AI initiatives in marketing and telecom.
Role type
Senior IC AI Architect with technical leadership responsibilities
Builds
Production ML models (custom transformers, foundation model fine-tuning) and MLOps infrastructure for enterprise clients
Domain
Marketing & Media / Telecommunications
Deliverable
production ML models
Required skills
Custom transformer architecture design, foundation model fine-tuning (BERT, T5, LLMs), causal inference, experimental design, Python, PyTorch, SQL, Spark, cloud deployment (AWS/GCP/Azure), MLOps (CI/CD, monitoring), executive communication
Preferred skills
Privacy-preserving ML (federated learning, differential privacy), graph neural networks, published research in top-tier conferences, real-time streaming ML pipelines, OpenAI embeddings expertise
Technologies
PyTorch, TensorFlow, HuggingFace Transformers, scikit-learn, XGBoost, LightGBM, Spark, BigQuery, Snowflake, Databricks, SageMaker, Vertex AI, Azure ML, Docker, Kubernetes, MLflow, W&B, DVC, Kafka, Flink
Responsibilities
Define AI roadmap and establish engineering best practices; Mentor and manage AI/ML engineers and MLOps teams; Lead design and development of custom transformer models for sequence modeling and churn prediction; Oversee end-to-end data science workflows and data pipeline construction; Present AI strategy and results to C-suite and senior client stakeholders; Establish production standards for model deployment, monitoring, and governance
Seniority
Senior, hands-on IC with people management responsibilities