AI DevOps Lead

About Our Team

We are seeking a Senior DevOps Lead to architect, design, and own the end to end CI/CD and configuration management (CM) backbone for a cross platform AI development ecosystem spanning Windows and Android. This role is critical to ensuring that builds, deployments, AI powered features, and underlying infrastructure are reliable, fast, secure, and scalable.

You will lead the modernization and unification of CI/CD pipelines, enable deep automation across QA and SRE functions, and operationalize AI/ML model delivery for on device runtimes. This is a hands on leadership role with broad technical ownership and high impact across product engineering.

We recently introduced Qira, our new cross-device Personal AI that works seamlessly across Lenovo and Motorola products.

More information can be found here: https://news.lenovo.com/pressroom/press-releases/lenovo-unveils-lenovo-and-motorola-qira/

Location: On-site in Chicago (Hybrid, 3 days on-site/2 days remote)

What You'll Do

End to End CI/CD Ownership

-Design, maintain, and optimize pipelines that build, test, and deploy Windows and Android artifacts, including AI models, native binaries, and cross platform components.

Cross Platform Build System Management

-Unify build workflows across Windows (MSBuild, CMake, WinUI, .NET) and Android (Gradle, NDK, AOSP, C#, H5), ensuring consistent outputs and reproducible builds.

Cross Platform CM controls

-Unify Code submission controls for SME review check-ins. Enable AI tools for automations for static analysis of Code within CI/CD pipelines.

AI/ML Model Delivery & Runtime Integration

-Operationalize model packaging, quantization, versioning, and deployment for on device runtimes like ONNX Runtime, or custom inference engines.

Resource Optimization

-Monitor and optimize CPU, GPU, memory for CI/CD pipeline with alert and monitoring system for 100% efficiency and Zero downtime.

Security, Compliance & Code Signing

-Manage secure build environments, code signing for Windows and Android, secret rotation, SBOM generation, and supply chain hardening.

Basic Qualifications

• 10+ years of experience in DevOps, Build & Release Engineering, or Platform Engineering roles.
• Deep hands on experience designing and operating CI/CD pipelines at scale.
• Strong expertise in Windows and Android build ecosystems (MSBuild, CMake, .NET, Gradle, NDK, AOSP).
• Proven experience with cross platform configuration management and source control strategies.
• Experience integrating AI/ML workflows into CI/CD pipelines (model packaging, versioning, deployment).

Preferred Qualifications

• Experience with ONNX Runtime, edge/on device AI, or custom inference engines.
• Familiarity with SRE practices, SLIs/SLOs, and production reliability frameworks.
• Experience applying AI powered developer tooling for automation and code quality.
• Prior ownership of multi platform release governance in regulated or large scale environments.