Director - AI Infrastructure

Director – AI Infrastructure

Salary: Starting at $300k bonus

Location: Chicago, IL or Houston, TX

Hybrid: 3 days onsite, 2 days remote

*We are unable to provide sponsorship for this role*

Qualifications

• Bachelor’s degree
• 12 years in infrastructure, platform, or cloud engineering within complex enterprises
• 5 years in senior leadership roles managing managers and multi‑team organizations.
• 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.
• Deep expertise with enterprise‑scale Microsoft Azure, including AI and ML services, networking, identity, security, governance, and cost management.
• Experience integrating and operating on‑premise GPU and high‑performance computing environments with cloud platforms.
• Proven ownership of platform reliability, incident command, and service‑level objectives in regulated, compliance‑sensitive environments.
• Working knowledge of Responsible AI, AI risk management, regulatory frameworks, and compliance standards such as SOC 2 and ISO 27001.
• Experience managing cloud spend using Financial Operations (FinOps) practices and overseeing enterprise vendor and contract relationships.
• Strong executive presence with the ability to advise senior leaders and influence cross‑functional stakeholders.
• Experience in legal, professional services, or similarly regulated environments preferred, including familiarity with legal technology ecosystems.

Responsibilities

• 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.
• 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).
• 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.
• Create secure, governed environments that enable rapid experimentation and development for Innovation, AI Engineering, and CGO teams.
• 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.
• Oversee the design and deployment of shared and custom AI platforms that accelerate solution delivery while meeting security and governance standards.
• Operationalize governance, privacy, and Responsible AI standards in partnership with Risk, Security, and Responsible AI teams.
• Ensure platform reliability, service‑level objectives, incident response readiness, and continuous improvement across production AI environments.
• Manage cloud operating budgets, vendor relationships, and capacity planning across Azure services, GPU infrastructure, and AI tooling.