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 cloudnative AI platforms in a highly regulated environment.

Key Responsibilities

• Design build and operateAIfocusedfocused infrastructure platformssupporting model development training evaluation and inference.

• Engineer scalable reliable and securecloudnativenative 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 maintaininfrastructureascodeand 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 requiredcall rotations and operational support as required for critical platforms.

• Continuously evaluate emerging AI infrastructure technologies and apply them pragmatically within BlackRocks enterprise context.

Qualifications

• Strong experienceincloud infrastructure platform engineering or systems engineeringroles.

• Hands-onexpertiseon 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 strategieslifecycle managementmonitoring/observability andDisaster Recovery

• Experience supportingLLMs generative AI platforms or model serving infrastructure.

• Experience supporting AI and machine learning workloadswith exposure to managed compute for model training and finetuning experimentation over large datasets and endtoendMLOpspipelineflowincluding data ingestion training validationand deployment.

• Proficiency withInfrastructure as Codeascodetools (e.g. Terraform ARM/Bicep CloudFormation).

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

• Experience building and operatingcontainerized and Kubernetesbasedbased platforms.

• Solid understanding ofreliability scalability observability and operational best practices.

• Ability to work effectively in crossfunctional teams and communicate complex technical concepts clearly.

Preferred

• Familiarity withGPU or acceleratorbased infrastructure.

• Experience working infinancial services or other highly regulated industries.

• Familiarity withmulticloud architecturesand enterprise governance requirements.