Senior AI Architect

Responsibilities

• Define technical investments and AI roadmaps aligned with business objectives
• Mentor and manage AI/ML engineers, senior data scientists, and MLOps engineers
• Design and develop custom transformer models for sequence modeling and propensity scoring
• Oversee end-to-end data science workflows from problem framing to production deployment
• Lead technical discovery and solutioning with enterprise clients
• Present AI strategy and model results to C-suite and senior stakeholders
• Establish production standards for model deployment, monitoring, and drift detection using cloud platforms
• Drive adoption of MLOps best practices including CI/CD and containerization

Requirements

• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field; Ph.D. preferred
• 10+ years of experience in data science and machine learning
• 3–5 years in a people management or technical leadership role
• Hands-on expertise designing and training custom transformer architectures
• Proficiency in Python and libraries such as PyTorch, TensorFlow, HuggingFace, and scikit-learn
• Experience with industry datasets in marketing, media, or telecommunications
• Command of SQL and large-scale data platforms like Spark, BigQuery, Snowflake, or Databricks
• Experience owning end-to-end MLOps on AWS SageMaker, GCP Vertex AI, or Azure ML
• Exceptional executive communication skills

Preferred Qualifications

• Professional services experience across multiple client engagements
• Background in privacy-preserving ML (federated learning, differential privacy)
• Knowledge of graph neural networks (GNNs)
• Published research in NeurIPS, ICML, KDD, or RecSys
• Experience with real-time inference and streaming ML pipelines (Kafka, Flink)
• Deep experience with OpenAI focused on embeddings