Associate Director of Generative AI Platform Engineering (Hybrid or Remote) - S&P Global : Job Details

S&P is a leader in automation and AI/ML to transform risk management. We are seeking an Associate Director of Generative AI Platform Engineering to join our ML team within the Data Science COE at S&P Global. The desired candidate is an innovative, a hands-on coder with previous experience developing large-scale platforms utilizing data engineering, machine learning and cloud platforms & services. The Associate Director of Generative AI Platform Engineering will work closely in a world class AI ML team comprised of experts in AI & ML, ML engineers and data science and data engineering teams. This role will be a critical part of leading S&P's AI-driven transformation to drive value both internally and externally for our customers. This role is a unique opportunity for hands-on architects and platform engineers to grow into the next step in their career journey. 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 including data ingestion to preprocessing to scaled AI model compute and ensure the architecture meets all SLA requirements. 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. 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. Provide guidance and mentorship to junior engineers, fostering their professional growth and development. 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 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. Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Deep understanding of platform development and deployment at the scale of large enterprises. 7+ years of hands-on cloud platform engineering experience preferably with AI/ML development experience. Significant hands-on development experience in integrating, evaluating, deploying, operationalizing scalable full-stack and web-application solutions (with some previous experience with front-end technologies such as React, Vue or Angular JS) and APIs at speed and scale, including integration with enterprise applications and APIs. Strong knowledge and deep experience of Python, proficiency in multiple programming languages and frameworks relevant to cloud development such as Kubernetes, Serverless, and cloud PaaS offerings. Experience and knowledge of foundational Generative AI principles such as prompt engineering, RAG, finetuning, etc. Experience with full-stack engineering development for deep learning and LLM solutions Experience contributing to Github and open source initiatives or in research projects. By bringing transparency to the market through high-quality independent opinions on creditworthiness, we enable growth across a wide variety of organizations, including businesses, governments, and institutions. S&P Global is the world's foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world's leading organizations navigate the economic landscape so they can plan for tomorrow, today. Information, imagination, people, technology–the right combination can unlock possibility and change the world. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Flexible Downtime: Generous time off helps keep you energized for your time on. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. S&P Global has a Securities Disclosure and Trading Policy (“the Policy”) that seeks to mitigate conflicts of interest by monitoring and placing restrictions on personal securities holding and trading. The Policy is designed to promote compliance with global regulations. In some Divisions, pursuant to the Policy's requirements, candidates at S&P Global may be asked to disclose securities holdings. Employment at S&P Global is contingent upon compliance with the Policy. ----------------------------------------------------------- S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning)