Associate/Vice President, AI Infrastructure Engineer
About this roleAt BlackRock, technology underpins everything we do. AI is a core strategic priority for the firm, embedded across Aladdin and our investment, client, and operational platforms. We are seeking an AI Infrastructure Engineer to help build and operate the foundational infrastructure that enables AI systems to scale safely, securely, and reliably across the enterprise.This role sits within Aladdin Platform Engineering and focuses on the infrastructure and platform services required to support machine learning models, large language models (LLMs), and emerging AI capabilities in production. The successful candidate will work closely with AI Engineers, Data Scientists, Platform Engineers, Security, and Product partners to deliver resilient, cloud native AI platforms in a highly regulated environment.Key ResponsibilitiesDesign, build, and operate AI focused infrastructure platforms supporting model development, training, evaluation, and inference.Engineer scalable, reliable, and secure cloud native services to support AI workloads across AWS, Azure, and hybrid environmentsPartner with AI Engineering and Data Science teams to improve developer experience, performance, and operational stability of AI systemsEnable production deployment of ML models and LLMs within governed enterprise environments, aligned with firmwide risk and compliance standardsImplement and maintain infrastructure as code and automation to ensure repeatable, auditable platform provisioningBuild and operate observability, monitoring, and alerting solutions for AI platforms, ensuring availability, performance, and cost transparencyCollaborate with Security and Risk partners to integrate identity, access controls, data protection, and governance into AI infrastructureContribute to architectural decisions and technical standards for AI platforms across AladdinParticipate in on-call rotations and operational support as required call rotations and operational support as required for critical platforms.Continuously evaluate emerging AI infrastructure technologies and apply them pragmatically within BlackRock’s enterprise context.Required Qualifications Strong experience in cloud infrastructure, platform engineering, or systems engineering roles.4+ hands-on expertise with AWS and/or Azure and/or GCP, including Azure ML, Azure Foundry, AWS Bedrock, Google Vertex, as well as cloud compute, networking, storage, and security services.Understanding of ML platform operations and governance concepts, including model deployment strategies, lifecycle management, monitoring/observability, and Disaster RecoveryExperience supporting LLMs, generative AI platforms, or model serving infrastructure.Experience supporting AI and machine learning workloads, with exposure to managed compute for model training and finetuning, experimentation over large datasets, and end to end MLOps pipeline flow including data ingestion, training, validation and deployment.Proficiency with Infrastructure as cod...