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Infrastructure Director information

See Spring, TX salary details

$62.3K

$136.8K

$202.5K

How much do infrastructure director jobs pay per year?

As of Jun 23, 2026, the average yearly pay for infrastructure director in Spring, TX is $136,760.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,800.00 and $166,900.00 per year, depending on experience, location, and employer.

What does an Infrastructure Director do?

An Infrastructure Director oversees an organization's IT infrastructure, including networks, servers, cloud environments, and security systems. They ensure that all technology resources operate efficiently, securely, and align with business objectives. This role involves strategic planning, budgeting, vendor management, and leading teams responsible for IT operations and support. The Infrastructure Director also implements new technologies and disaster recovery plans to minimize downtime and enhance performance.

What are the key skills and qualifications needed to thrive in the Infrastructure Director position, and why are they important?

To thrive as an Infrastructure Director, you need extensive experience in IT infrastructure management, strategic planning, and project oversight, typically backed by a bachelor’s or master’s degree in computer science, information systems, or a related field. Familiarity with technologies such as cloud computing platforms (e.g., AWS, Azure), network architecture, and certifications like ITIL or PMP are often highly valued. Strong leadership, effective communication, and problem-solving abilities set exceptional candidates apart. These skills are crucial for overseeing complex infrastructure projects, ensuring reliability, and driving organizational growth through technological innovation.

What are some typical challenges an Infrastructure Director faces in this role?

Infrastructure Directors often face challenges such as balancing the need for system reliability and security with the demand for rapid technology adoption and scalability. Managing large teams, coordinating across departments, and overseeing complex projects with tight deadlines can also be demanding. Additionally, staying current with evolving technologies and compliance requirements is essential. Successfully navigating these challenges requires strategic vision, proactive risk management, and strong communication with both technical staff and executive leadership.

What are the most commonly searched types of Infrastructure jobs in Spring, TX? The most popular types of Infrastructure jobs in Spring, TX are:
What job categories do people searching Infrastructure Director jobs in Spring, TX look for? The top searched job categories for Infrastructure Director jobs in Spring, TX are:
What cities near Spring, TX are hiring for Infrastructure Director jobs? Cities near Spring, TX with the most Infrastructure Director job openings:
Infrastructure Director jobs near you

AI Infrastructure Director

Kirkland & Ellis LLP.

Houston, TX • On-site

Full-time

Medical, Retirement, PTO

Posted 27 days ago

Job description

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 24 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 and scaling enterprise-grade AI platforms that power innovation across a complex organization?
As AI Infrastructure Director, you'll design, manage, and optimize the firm's AI infrastructure-spanning on-premise GPU environments and Microsoft Azure-based AI platforms-to enable enterprise AI, automation, and innovation initiatives at scale.
This role sits at the intersection of technology, governance, and business impact. You'll be the single point of accountability for AI-specific environments and shared AI platform services, partnering closely with Cloud Engineering, AI Engineering, and the Chief Growth Office (CGO) to ensure secure, reliable, and scalable delivery aligned with firm priorities. You'll also lead and grow a multi-disciplinary engineering organization responsible for the operational excellence of the firm's AI platforms.
  • AI Infrastructure Ownership: Lead all AI environments-including on-premise Graphics Processing Unit (GPU) clusters, Microsoft Azure AI and Machine Learning (ML) services, and shared AI platform components-with accountability for reliability, scalability, and lifecycle management.
  • Azure AI Environment Leadership: Own Azure environments hosting AI and automation workloads, including shared services such as Azure OpenAI, Azure AI Foundry, Azure AI Search, and Azure Kubernetes Service (AKS).
  • Cross-Team Partnership: Collaborate with Cloud Engineering on landing zones, networking, subscription governance, and service onboarding, and with the AI Engineering Lead on shared platforms and operating standards.
  • Innovation Enablement: Create secure, governed environments that enable rapid experimentation and development for Innovation, AI Engineering, and CGO teams.
  • Team Leadership & Development: Lead AI Infrastructure, AI Platform Engineering, Azure AI Engineering Operations, and Microsoft 365 (M365) Automation functions; mentor leaders and engineers and build sustainable career paths.
  • Platform Design & Delivery: Oversee the design and deployment of shared and custom AI platforms that accelerate solution delivery while meeting security and governance standards.
  • Security & Responsible AI: Operationalize governance, privacy, and Responsible AI standards in partnership with Risk, Security, and Responsible AI teams.
  • Operational Excellence: Ensure platform reliability, service-level objectives, incident response readiness, and continuous improvement across production AI environments.
  • Strategic Planning & Vendor Management: Manage cloud operating budgets, vendor relationships, and capacity planning across Azure services, GPU infrastructure, and AI tooling.

What You'll Bring
  • Education & Certifications: Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field required; Master's degree or Master of Business Administration (MBA) strongly preferred. Advanced Microsoft Azure certifications (e.g., Azure Solutions Architect Expert, DevOps Engineer Expert) strongly preferred.
  • Leadership Experience: 12+ years in infrastructure, platform, or cloud engineering within complex enterprises, including at least 5 years in senior leadership roles managing managers and multi-team organizations.
  • AI Platform Expertise: 5+ years designing, operating, and scaling production AI and ML platforms, including MLOps, Continuous Integration and Continuous Delivery (CI/CD), Infrastructure-as-Code, and containerized platforms such as Kubernetes and Docker.
  • Azure at Scale: Deep expertise with enterprise-scale Microsoft Azure, including AI and ML services, networking, identity, security, governance, and cost management.
  • Hybrid Infrastructure Knowledge: Experience integrating and operating on-premise GPU and high-performance computing environments with cloud platforms.
  • Operational Accountability: Proven ownership of platform reliability, incident command, and service-level objectives in regulated, compliance-sensitive environments.
  • Governance & Risk Awareness: Working knowledge of Responsible AI, AI risk management, regulatory frameworks, and compliance standards such as SOC 2 and ISO 27001.
  • Financial & Vendor Acumen: Experience managing cloud spend using Financial Operations (FinOps) practices and overseeing enterprise vendor and contract relationships.
  • Executive Communication: Strong executive presence with the ability to advise senior leaders and influence cross-functional stakeholders.
  • Industry Context: Experience in legal, professional services, or similarly regulated environments preferred, including familiarity with legal technology ecosystems.

If you're excited to shape enterprise AI platforms, lead high-impact engineering teams, and enable responsible innovation at scale in this AI Infrastructure Director role, we'd love to hear from you.
Compensation
The base salary range below represents the low and high end of the salary range for this position in Chicago. This range may differ based on your geographic location and cost of living considerations. At Kirkland & Ellis, we consider compensation more than just a base salary. We offer an exceptional range of flexible benefits including comprehensive healthcare, paid time off, and retirement. We also offer personal support and tailored learning and development opportunities all designed to help you realize your full potential both in life and at work.
Compensation Range:
Chicago: $302,000 - $335,000
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

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