Associate, AI Infrastructure Engineer

Job summary

BlackRock is seeking an AI Infrastructure Engineer to build and operate foundational infrastructure for scaling AI systems safely, securely, and reliably across the enterprise. This role focuses on infrastructure and platform services supporting machine learning models, large language models (LLMs), and emerging AI capabilities in production. The successful candidate will collaborate with various teams to deliver resilient, cloud-native AI platforms in a highly regulated environment.

Qualifications

• Strong experience in cloud infrastructure, platform engineering, or systems engineering roles.
• Hands-on expertise with AWS, Azure, 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 Recovery.
• Experience 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 Code tools (e.g., Terraform, ARM/Bicep, CloudFormation).
• Strong programming or scripting skills (e.g., Python, Bash, or similar).
• Experience building and operating containerized and Kubernetes-based platforms.
• Solid understanding of reliability, scalability, observability, and operational best practices.
• Ability to work effectively in cross-functional teams and communicate complex technical concepts clearly.
• Familiarity with GPU or accelerator-based infrastructure (preferred).
• Experience working in financial services or other highly regulated industries (preferred).
• Familiarity with multi-cloud architectures and enterprise governance requirements (preferred).

Responsibilities

• Design, 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 environments.
• Partner with AI Engineering and Data Science teams to improve developer experience, performance, and operational stability of AI systems.
• Enable production deployment of ML models and LLMs within governed enterprise environments, aligned with firmwide risk and compliance standards.
• Implement and maintain infrastructure as code and automation to ensure repeatable, auditable platform provisioning.
• Build and operate observability, monitoring, and alerting solutions for AI platforms, ensuring availability, performance, and cost transparency.
• Collaborate with Security and Risk partners to integrate identity, access controls, data protection, and governance into AI infrastructure.
• Contribute to architectural decisions and technical standards for AI platforms across Aladdin.
• Participate in on-call rotations and operational support for critical platforms.
• Continuously evaluate emerging AI infrastructure technologies and apply them pragmatically within BlackRock’s enterprise context.

Skills

Relocation