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 MLOps best practices

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, or HuggingFace
• Experience with SQL and large-scale data platforms like Spark, BigQuery, Snowflake, or Databricks
• Proven experience with MLOps and cloud platforms (AWS SageMaker, GCP Vertex AI, or Azure ML)
• Strong background in feature engineering, statistical modeling, and causal inference

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 pipelines (Kafka, Flink)
• Deep experience with OpenAI and embeddings

About the Company

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people.