Associate Director of Generative AI Platform Engineering

3 days ago


Austin, Texas, United States S&P Global Full time
About the Role:

S&P Global is a leader in automation and AI/ML to transform risk management. We are seeking an experienced professional to join our ML team within the Data Science COE at S&P Global.

Key Responsibilities:
  • Lead the design, development, and deployment of a generative AI platform, ensuring optimal integration with enterprise systems and standards.
  • Act as a hands-on developer and architect, creating a robust and scalable solution tailored to support AI-driven applications.
  • Demonstrate technical leadership and hands-on expertise in generative AI technologies and cloud architecture.
  • Responsible for the full stack development of the platform for AI products, including custom architecture for batch and stream processing-based AI ML pipelines.
  • Work closely with members of technology and business teams in the design, development, and implementation of Enterprise AI platform.
  • Ensure the deployment, and management of scalable and reliable platform and application infrastructure for AI, ML, GenAI, LLM products.
  • Lead the development, integration, and testing of scalable APIs.
  • Create and maintain robust monitoring systems to track model performance, data quality, and infrastructure health.
  • Identify and implement optimizations to improve system efficiency.
  • Collaborate closely with data scientists, machine learning engineers, and software engineers to ensure smooth integration of machine learning models into production systems.
  • Collaborate closely with ML teams, business, and PM stakeholders in full-stack implementation efforts and ensure technical milestones align with business requirements.
  • Implement security measures and compliance standards of the platform and APIs to ensure adherence to industry regulations.
  • Mentor technical engineering talent and provide guidance and mentorship to junior engineers.
  • Maintain documentation and architecture blueprints that guide the platform strategy and operational runbooks.
  • Ensure the use of standards, governance, and best practices in ML pipeline and ML model monitoring, and adherence to model and data governance standards.
What We're Looking For:

We're seeking a highly experienced professional with a strong background in cloud platform engineering, AI/ML development, and technical leadership. The ideal candidate will have a deep understanding of platform development and deployment at the scale of large enterprises, strong distributed systems skills, and knowledge of foundational Generative AI principles.

The candidate should have experience with full-stack engineering development for deep learning and LLM solutions, contributing to Github and open-source initiatives, and collaborating closely with data scientists, machine learning engineers, and software engineers.

The ideal candidate will be a strong communicator, able to work closely with members of technology and business teams, and have a passion for innovation and technical excellence.

Benefits:

We offer a competitive salary, comprehensive benefits package, and opportunities for professional growth and development. Our benefits include health and wellness programs, flexible downtime, continuous learning opportunities, and a commitment to diversity, equity, and inclusion.

We're an equal opportunity employer and welcome applications from diverse candidates. If you're passionate about AI, cloud engineering, and technical leadership, we encourage you to apply for this exciting opportunity.


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