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Kirkland & Ellis · 22 hours ago

Associate Director of AI Infrastructure

Salt Lake City, UT

Full-time

Onsite

Senior Level, Lead/Staff

8+ years exp

Kirkland & Ellis is a leading law firm known for its commitment to legal excellence and innovation. They are seeking an Associate Director of AI Infrastructure to design, manage, and optimize the firm’s AI infrastructure, enabling secure experimentation and scalable solutions that align with strategic objectives.

Financial ServicesLaw EnforcementLegal

Growth Opportunities

H1B Sponsor Likely

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

AI Infrastructure ExpertiseAzure AI/ML servicesGPU clusters managementMLOpsKubernetesDockerCloud architecturePeople LeadershipSecurity & Governance AwarenessInfluence & CommunicationChange Leadership

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

Kirkland & Ellis

Glassdoor4.3

Kirkland & Ellis is a law firm that offers a wide range of legal assistance in labor, government, and intellectual property litigation.

Founded in 1909

Chicago, Illinois, USA

5001-10000 employees

https://www.kirkland.com/

H1B Sponsorship

Kirkland & Ellis has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2025 (40)

2024 (55)

2023 (27)

2022 (54)

2021 (45)

2020 (26)