Vice President, AI Infrastructure Engineer

AI Infrastructure Engineer

At 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 anAI Infrastructure Engineerto help build and operate the foundational infrastructure that enables AI systems to scale safely, securely, and reliably across the enterprise.

This role sits within AladdinPlatformEngineering and focuses on theinfrastructure and platform servicesrequired 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 Responsibilities

• Design, build, and operateAIfocused‑focused infrastructure platformssupporting model development, training, evaluation, and inference.

• Engineer scalable, reliable, and securecloudnative‑native servicesto support AI workloads across AWS, Azure, and hybrid environments.

• Partner with AI Engineering and Data Science teams to improvedeveloper experience, performance, and operational stability of AI systems.

• Enable production deployment ofML models and LLMswithin governed enterprise environments, aligned with firmwide risk and compliance standards.

• Implement and maintaininfrastructure‑as‑codeand automation to ensure repeatable, auditable platform provisioning.

• Build and operateobservability, monitoring, and alertingsolutions for AI platforms, ensuring availability, performance, and cost transparency.

• Collaborate with Security and Risk partners to integrateidentity, access controls, data protection, and governanceinto AI infrastructure.

• Contribute to architectural decisions and technical standards for AI platforms across Aladdin.

• Participate in on-callrotations 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.

Qualifications

Required

• Strong experienceincloud infrastructure, platform engineering, or systems engineeringroles.

• Hands-onexpertise‑on expertise withAWS and/or Azureand/or GCP, includingAzure ML, Azure Foundry, AWS Bedrock, GoogleVertex, as well ascloudcompute, networking, storage, and security services.

• Understanding of ML platform operations and governance concepts, including model deployment strategies,lifecycle management,monitoring/observability, andDisaster Recovery

• Experience supportingLLMs, generative AI platforms, or model serving infrastructure.

• Experience supporting AI and machine learning workloads,with exposure to managed compute for model training and fine‑tuning, experimentation over large datasets, and end‑to‑endMLOpspipelineflowincluding data ingestion, training, validationand deployment.

• Proficiency withInfrastructure as Code‑as‑codetools (e.g., Terraform, ARM/Bicep, CloudFormation).

• Strong programming or scripting skills (e.g.,Python, Bash, or similar).

• Experience building and operatingcontainerized and Kubernetesbased‑based platforms.

• Solid understanding ofreliability, scalability, observability, and operational best practices.

• Ability to work effectively in cross‑functional teams and communicate complex technical concepts clearly.

Preferred

• Familiarity withGPU or accelerator‑based infrastructure.

• Experience working infinancial services or other highly regulated industries.

• Familiarity withmulti‑cloud architecturesand enterprise governance requirements.