Jobs via Dice ยท 4 hours ago
Associate Director of AI Infrastructure
Salt Lake City, UT
Full-time
Onsite
Lead/Staff, Director/Executive
8+ years expKirkland & Ellis is a leading law firm committed to legal excellence and innovative solutions. The Associate Director of AI Infrastructure will design, manage, and optimize the firm's AI infrastructure to support innovation initiatives and ensure compliance and performance across all AI environments.
Computer Software
Responsibilities
Lead and manage all AI environments-including on-premises GPU clusters, Azure AI/ML services, and custom AI platforms-ensuring performance, reliability, and compliance
Create guardrails that allow Innovation teams to rapidly experiment, develop, and deploy AI solutions with confidence
Guide and develop AI Engineering, AI Architecture, and Azure AI Operations teams through hands-on leadership and technical direction
Coordinate the design and rollout of custom-built AI platforms that support innovation initiatives and practice-specific needs
Ensure AI infrastructure integrates seamlessly with enterprise systems and scales to meet future workloads
Partner with Risk and Responsible AI teams to uphold security, governance, and compliance standards across all AI environments
Monitor system performance, manage capacity planning, and implement continuous improvements for AI workloads
Collaborate with Innovation leadership to define and execute a long-term AI infrastructure strategy
Manage relationships with cloud providers and hardware vendors to optimize procurement, cost, and performance
Qualification
Required
Bachelor's or master's degree in computer science, Engineering, or a related field (or equivalent experience)
8+ years in cloud architecture or high-performance computing environments, including 5+ years managing AI or machine learning (ML) platforms
Deep knowledge of Azure AI/ML services, on-premise GPU clusters, and enterprise-scale AI deployments
Strong understanding of AI engineering, machine learning operations (MLOps), and containerization tools such as Kubernetes and Docker
Proven experience leading technical or engineering teams and delivering complex infrastructure initiatives
Background designing infrastructure that supports data scientists and developers through rapid iteration workflows
Familiarity with security, compliance, and governance frameworks for AI systems
Ability to clearly communicate across technical and business teams and influence decision-makers in complex environments
Experience driving organizational change and evolving governance or operating models at enterprise scale
Company
Jobs via Dice
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0-1 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase