About this role
Your team
Technology underpins everything we do at BlackRock, and Artificial Intelligence (AI) is a strategic priority across Aladdin and our investment, client, and operational platforms. Within Aladdin Platform Engineering, our team builds and operates the foundational infrastructure and platform services that enable machine learning, large language models, and emerging AI capabilities to run securely, reliably, and at enterprise scale.
We work across AI Engineering, Data Science, Platform Engineering, Security, Risk, and Product to build resilient, cloud-native platforms for a highly regulated environment. This role offers the opportunity to shape the engineering foundations that enable AI capabilities across Aladdin.
Your role and impact
As an AI Infrastructure Engineer, you will design, build, and operate the foundational platforms that support AI workloads throughout their lifecycle, from development and experimentation through training, evaluation, deployment, and inference.
You will help create scalable, reliable production environments while embedding security, governance, observability, automation, and operational resilience into the platform. You will contribute to architectural decisions and technical standards as AI capabilities and infrastructure continue to evolve across Aladdin.
Your responsibilities
In every role at BlackRock, you'll be expected to apply sound judgement and critical thinking to solve complex problems, adapt as the business evolves, and combine the curiosity to explore new approaches and technologies with the rigor to challenge the results. The scope of this role also includes the following responsibilities:
Design, build, and operate scalable, reliable, and secure cloud-native infrastructure supporting AI model development, training, evaluation, deployment, and inference across public cloud and hybrid environments.
Partner with AI Engineering, Data Science, Platform Engineering, and Product teams to improve developer experience, platform performance, and operational stability while contributing to AI platform architecture and technical standards.
Enable production deployment of machine learning models and large language models within governed enterprise environments, integrating identity, access controls, data protection, security, and risk requirements.
Implement Infrastructure as Code (IaC) and automation to enable repeatable, consistent, and auditable platform provisioning and configuration.
Build and operate observability, monitoring, and alerting capabilities that provide visibility into AI platform availability, performance, reliability, capacity, and cost.
Participate in operational support and on-call rotations for critical platforms, contributing to incident response and resilient production services.
Evaluate emerging AI infrastructure technologies and engineering approaches, applying capabilities appropriate to BlackRock’s enterprise environment.
Your experience
Demonstrated experience in cloud infrastructure, platform engineering, systems engineering, or a closely related discipline, including designing and operating services across major public cloud and hybrid environments.
Experience supporting AI and machine learning platforms across the development and production lifecycle, including training, fine-tuning, experimentation, validation, model deployment and serving, lifecycle management, observability, resilience, disaster recovery, and end-to-end Machine Learning Operations (MLOps) pipelines.
Proficiency with Infrastructure as Code, cloud infrastructure provisioning, and automation, supported by programming or scripting capability.
Experience building and operating enterprise-grade containerized platforms that support declarative infrastructure and horizontal scaling, with a strong understanding of reliability, scalability, observability, and production engineering practices.
Familiarity with graphics processing unit (GPU) or other accelerator-based AI…