Chief Generative AI Architect

4 days ago


Toronto, Ontario, Canada S&P Global Full time
About S&P Global

S&P Global is a leader in automation and AI/ML, transforming risk management for our customers. We are seeking a highly skilled professional to join our team as a Chief Generative AI Architect.

Job Description

This role involves leading the engineering activities for building production-grade generative AI solutions. You will play a pivotal part in implementing machine learning engineering operations to ensure seamless deployment, monitoring, and management of our machine learning models and data pipelines.

Key Responsibilities
  • Lead the development of large-scale stateful and stateless distributed systems, including infrastructure, data ingestion platforms, SQL and no-SQL databases, microservices, orchestration services, and more.
  • Design and implement MLOps/LLMOps platform development & automated pipelines focusing on deploying, monitoring, and maintaining models in production environments; with model governance, cost, and performance optimization.
  • Collaborate with cross-functional teams to integrate machine learning models into production systems.
Requirements
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • 8+ years of progressive experience in machine learning, data analytics, or similar roles.
  • Writing production-level, scalable code with Python (or Scala).
  • MLOps/LLMOps, machine learning engineering, Big Data, or a related role.
  • Elasticsearch, SQL, NoSQL, Apache Airflow, Apache Spark, Kafka, Databricks, MLflow.
  • 2-3 years of experience with operationalizing data-driven pipelines for large-scale batch and stream processing analytics solutions.
  • Experience with contributing to open-source initiatives or research projects and/or participation in Kaggle competitions.
  • 6-12 months of experience working with RAG pipelines, prompt engineering, and/or Generative AI use cases.
Salary and Benefits

The final base salary for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses, and certifications. We offer a competitive compensation package, including benefits such as health insurance, retirement plans, and paid time off.


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