5 senior ai engineer jobs found

About the Role: Grade Level (for internal use): 16 The Role: Global Head of Cloud & Infrastructure Responsibilities and Impact: Lead S&P Global's Cloud & Infrastructure organization, overseeing cloud platforms, networks, observability, forward deployment engineering, enterprise architecture, and AI foundations across all global business divisions Architect and operate S&P Global's hybrid, multi-cloud estate across Google Cloud, AWS, and Azure with 24×7 reliability, elastic scale, and optimized cost, performance, and sustainability metrics Engineer resilient global networks spanning cloud interconnect, data centers, campus and branch locations, modernizing WAN edge to SASE/SSE while embedding zero trust architecture for market-data and trading workloads Industrialize foundational GenAI capabilities enterprise-wide, building scalable AI-ready data platform foundations while strengthening trust, safety, and observability for agentic AI at scale...

About the Role: Grade Level (for internal use): 14 The Team: This team is essential to the division's data strategy, playing a key role in data transformation and leading efforts to replace legacy technical debt. The team embodies a strong commitment to delivering on business needs and demonstrates exceptional collaboration with both product and business partners. They are known for their collaborative approach, strong technical expertise, and the high energy and dedication they bring to their work. Responsibilities and Impact: Lead and scale a world-class engineering organization of 100+ data engineers, ML engineers, and platform developers, including managing managers and Staff/Principal-level engineers while driving hiring, retention, and talent development strategies Provide strategic technical direction for enterprise-scale lakehouse architecture using Databricks Data Intelligence Platform (Unity Catalog, Delta Lake, Delta Live Tables, Mosaic AI) and AWS...

About the Role: Grade Level (for internal use): 14 The Team: This team is essential to the division's data strategy, playing a key role in data transformation and leading efforts to replace legacy technical debt. The team embodies a strong commitment to delivering on business needs and demonstrates exceptional collaboration with both product and business partners. They are known for their collaborative approach, strong technical expertise, and the high energy and dedication they bring to their work. Responsibilities and Impact: Lead and scale a large, multi-disciplinary engineering organization of 50+ data engineers, ML engineers, and platform developers, including managing managers and staff-level engineers across cross-functional teams Drive the strategic architecture and implementation of enterprise data management and governance, integrating Databricks Unity Catalog with enterprise data catalog systems and AWS-native governance services to ensure automated...

About the Role: Grade Level (for internal use): 11 The Team:   Our Information Security team is a growing corporate enterprise function that operates cross-divisionally to enable business success through proactive security practices. We're transforming our approach from reactive response to proactive risk management, building technology-enabled environments that support innovation while maintaining a strong security posture. As a collaborative team, we partner across all divisions to ensure security becomes an enabler rather than a barrier to business objectives .   Responsibilities and Impact:   Lead enterprise-wide vulnerability management lifecycle across infrastructure, cloud, and application environments, providing strategic oversight and risk-based prioritization to protect critical business assets   Drive cross-functional collaboration with application teams, IT managers, and business stakeholders to ensure...

About the Role: Grade Level (for internal use): 14 The Team: This team is essential to the division's data strategy, playing a key role in data transformation and leading efforts to replace legacy technical debt. The team embodies a strong commitment to delivering on business needs and demonstrates exceptional collaboration with both product and business partners, bringing high energy and dedication to their work while being known for their collaborative approach and strong technical expertise. Responsibilities and Impact: Lead strategic MDM integration initiatives - Architect and oversee seamless, high-volume data integration between Databricks lakehouse and NeoXam MDM platform, establishing foundational data architecture for multi-billion-dollar index-linked investment products Drive advanced cloud data architecture - Utilize cutting-edge Databricks features including Unity Catalog, Delta Live Tables, and Serverless compute to optimize data...