Overview
On Site
Full Time
Skills
Teamwork
Legal
Information Technology
Scalability
Team Leadership
Mentorship
Technical Direction
Enterprise Integration
Information Security Governance
Performance Tuning
Capacity Management
Mapping
Collaboration
Cloud Management
Cloud Computing
Computer Hardware
Procurement
Computer Science
Cloud Architecture
High Performance Computing
Management
Microsoft Azure
Machine Learning (ML)
GPU
Machine Learning Operations (ML Ops)
Kubernetes
Docker
Workflow
Regulatory Compliance
Communication
Leadership
Organizational Change Management
Artificial Intelligence
Innovation
Recruiting
Training
Promotions
Evaluation
Military
SAP BASIS
Law
Job Details
About Kirkland & Ellis
At Kirkland & Ellis, we don't just meet the standard for legal excellence - we set it. Our culture is built on teamwork, ingenuity and an unwavering commitment to continuous growth. We tackle the most sophisticated legal challenges with bold ideas and innovative solutions, powered by the exceptional experience and ambition of our 7,000+ people, including 4,000+ attorneys, across 22 offices worldwide. Our dedicated professionals share our lawyers' commitment to excellence and show up each day to do meaningful work that helps drive global business, investment and innovation forward.
What You'll Do
Are you energized by building secure, scalable AI platforms that turn bold ideas into enterprise-ready solutions? As AI Infrastructure Lead, you'll design, manage, and continuously optimize the firm's end-to-end artificial intelligence (AI) infrastructure-powering innovation initiatives and production-grade AI systems alike.
This role sits at the intersection of Innovation and Information Technology (IT), serving as the primary bridge between structured governance and fast-moving experimentation. You'll oversee all AI environments, from on-premise graphics processing unit (GPU) clusters to Microsoft Azure artificial intelligence and machine learning services (Azure AI/ML), while leading high-performing teams responsible for engineering, architecture, and operations. Your work will directly enable secure experimentation, reliable delivery, and long-term scalability aligned with the firm's strategic objectives.
What You'll Bring
Ready to shape the foundation of enterprise AI?
If you're excited to build resilient platforms that empower innovation while meeting rigorous governance standards, we'd love to hear from you.
How to Apply
Thank you for your interest in Kirkland & Ellis LLP. To complete an application and submit your resume, please click "Apply Now."
Don't meet every job requirement? That's okay! If you're excited about this role but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others at Kirkland.
Equal Employment Opportunity
All employment decisions, including the recruiting, hiring, placement, training availability, promotion, compensation, evaluation, disciplinary actions, and termination of employment (if necessary) are made without regard to the employee's race, color, creed, religion, sex, pregnancy or childbirth, personal appearance, family responsibilities, sexual orientation or preference, gender identity, political affiliation, source of income, place of residence, national or ethnic origin, ancestry, age, marital status, military veteran status, unfavorable discharge from military service, physical or mental disability, or on any other basis prohibited by applicable law. #LI-Hybrid #LI-LC1
At Kirkland & Ellis, we don't just meet the standard for legal excellence - we set it. Our culture is built on teamwork, ingenuity and an unwavering commitment to continuous growth. We tackle the most sophisticated legal challenges with bold ideas and innovative solutions, powered by the exceptional experience and ambition of our 7,000+ people, including 4,000+ attorneys, across 22 offices worldwide. Our dedicated professionals share our lawyers' commitment to excellence and show up each day to do meaningful work that helps drive global business, investment and innovation forward.
What You'll Do
Are you energized by building secure, scalable AI platforms that turn bold ideas into enterprise-ready solutions? As AI Infrastructure Lead, you'll design, manage, and continuously optimize the firm's end-to-end artificial intelligence (AI) infrastructure-powering innovation initiatives and production-grade AI systems alike.
This role sits at the intersection of Innovation and Information Technology (IT), serving as the primary bridge between structured governance and fast-moving experimentation. You'll oversee all AI environments, from on-premise graphics processing unit (GPU) clusters to Microsoft Azure artificial intelligence and machine learning services (Azure AI/ML), while leading high-performing teams responsible for engineering, architecture, and operations. Your work will directly enable secure experimentation, reliable delivery, and long-term scalability aligned with the firm's strategic objectives.
- AI Infrastructure Ownership: Lead and manage all AI environments-including on-premises GPU clusters, Azure AI/ML services, and custom AI platforms-ensuring performance, reliability, and compliance.
- Innovation Enablement: Create guardrails that allow Innovation teams to rapidly experiment, develop, and deploy AI solutions with confidence.
- Team Leadership & Mentorship: Guide and develop AI Engineering, AI Architecture, and Azure AI Operations teams through hands-on leadership and technical direction.
- Custom Platform Delivery: Coordinate the design and rollout of custom-built AI platforms that support innovation initiatives and practice-specific needs.
- Enterprise Integration & Scale: Ensure AI infrastructure integrates seamlessly with enterprise systems and scales to meet future workloads.
- Security & Responsible AI Governance: Partner with Risk and Responsible AI teams to uphold security, governance, and compliance standards across all AI environments.
- Performance Optimization: Monitor system performance, manage capacity planning, and implement continuous improvements for AI workloads.
- Strategic Road mapping: Collaborate with Innovation leadership to define and execute a long-term AI infrastructure strategy.
- Vendor & Cloud Management: Manage relationships with cloud providers and hardware vendors to optimize procurement, cost, and performance.
What You'll Bring
- Education: Bachelor's or master's degree in computer science, Engineering, or a related field (or equivalent experience).
- Experience: 8+ years in cloud architecture or high-performance computing environments, including 5+ years managing AI or machine learning (ML) platforms.
- AI Infrastructure Expertise: Deep knowledge of Azure AI/ML services, on-premise GPU clusters, and enterprise-scale AI deployments.
- Engineering & Operations Practices: Strong understanding of AI engineering, machine learning operations (MLOps), and containerization tools such as Kubernetes and Docker.
- People Leadership: Proven experience leading technical or engineering teams and delivering complex infrastructure initiatives.
- Developer Enablement: Background designing infrastructure that supports data scientists and developers through rapid iteration workflows.
- Security & Governance Awareness: Familiarity with security, compliance, and governance frameworks for AI systems.
- Influence & Communication: Ability to clearly communicate across technical and business teams and influence decision-makers in complex environments.
- Change Leadership: Experience driving organizational change and evolving governance or operating models at enterprise scale.
Ready to shape the foundation of enterprise AI?
If you're excited to build resilient platforms that empower innovation while meeting rigorous governance standards, we'd love to hear from you.
How to Apply
Thank you for your interest in Kirkland & Ellis LLP. To complete an application and submit your resume, please click "Apply Now."
Don't meet every job requirement? That's okay! If you're excited about this role but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others at Kirkland.
Equal Employment Opportunity
All employment decisions, including the recruiting, hiring, placement, training availability, promotion, compensation, evaluation, disciplinary actions, and termination of employment (if necessary) are made without regard to the employee's race, color, creed, religion, sex, pregnancy or childbirth, personal appearance, family responsibilities, sexual orientation or preference, gender identity, political affiliation, source of income, place of residence, national or ethnic origin, ancestry, age, marital status, military veteran status, unfavorable discharge from military service, physical or mental disability, or on any other basis prohibited by applicable law. #LI-Hybrid #LI-LC1
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.