AI DevOps Engineer

Position Purpose

As a UW employee, you have a unique opportunity to change lives on our campuses, in our state, and around the world. UW employees offer their boundless energy, creative problem-solving skills, and dedication to build stronger minds and a healthier world. By being deeply invested in our work, showing compassion in our interactions, and embodying the spirit of a team player, each member contributes to a thriving community.

UW is committed to attracting and retaining a diverse staff; your experiences, perspectives, and unique identities will be honored at the University of Washington. Together, our community strives to create and maintain working and learning environments that are inclusive, equitable, and welcoming.

University of Washington is at the forefront of leveraging cutting‑edge technologies to transform education, research and healthcare. UW Information Technology (UW‑IT) is the central IT organization for the University of Washington, collaborating with partners across the University community to advance teaching, learning, innovation and discovery. UW‑IT delivers critical IT services and support to all three campuses, UW medical centers and global research operations.

Innovation and discovery are at the heart of what UW‑IT does and drive the work in advancing the University of Washington's role and mission.

We are seeking an innovative and experienced AI Dev Ops Engineer to support the artificial intelligence (AI) initiatives at the university and its three campuses. This role is a pivotal role in shaping and implementing our AI strategy to transform UW into an AI‑powered University. As a core technical member of the AI Platforms team, the AI Dev Ops Engineer drives the engineering, deployment, administration, and quality assurance of AI‑powered applications and services across the university.

The AI Dev Ops Engineer role will work within Service Management and AI Platform team under the UW's IT infrastructure Umbrella that provides critical technology support to all three campuses, UW Medicine, and research operations around the world.

The AI Dev Ops Engineer role requires a strong technical foundation spanning cloud engineering, infrastructure‑as‑code, CI/CD pipeline development, application administration, and QA/release management within a Microsoft Azure–centric environment. Deep hands‑on expertise in Azure architecture, identity and access management, networking, container orchestration, and platform‑native services is essential to ensure secure, reliable, and scalable delivery of AI applications across the university. This role balances engineering velocity with operational stability, security, and cost optimization while maintaining high standards for automation, monitoring, and platform governance.

Success in this position also depends on the ability to operate effectively within a decentralized and complex institutional environment. The AI Dev Ops Engineer must collaborate across AI research, development, IT operations, and information security teams to promote consistent Dev Ops practices, strengthen release discipline, and align cloud implementations with institutional strategy. Strong communication, proactive risk management, and continuous improvement are critical to maintaining resilient, compliant, and high‑performing AI platform services.

The AI Dev Ops Engineer serves as a key technical contributor on the AI Platforms team, responsible for the engineering, deployment, administration, and quality assurance of AI applications and services at the university. This role combines a strong engineering foundation with hands‑on application administration, deep Microsoft Azure cloud platform expertise, and QA/release management practices to ensure reliable, secure, and scalable delivery of AI solutions.

The AI Dev Ops Engineer works collaboratively with cross‑functional teams to build and maintain CI/CD pipelines, manage cloud infrastructure, administer AI platform applications, and drive continuous improvement in development and release processes.