"Alerted.org

Sr. Manager, AI Model Deployment

General Information

Req #

WD00089833

Career area:

Artificial Intelligence

Country/Region:

United States of America

State:

North Carolina

City:

Morrisville

Date:

Monday, October 20, 2025

Working time:

Full-time

**Additional Locations** :

* United States of America - North Carolina - Morrisville

Why Work at Lenovo

We are Lenovo. We do what we say. We own what we do. We WOW our customers.

Lenovo is a US$69 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).

This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com , and read about the latest news via ourStoryHub (https://news.lenovo.com/) .

Description and Requirements

The Lenovo AI Technology Center (LATC) – Lenovo’s global AI Center of Excellence – is driving our transformation into an AI-first organization. We are assembling a world-class team of researchers, engineers, and innovators to position Lenovo and its customers at the forefront of the generational shift toward AI. Lenovo is one of the world’s leading computing companies, delivering products across the entire technology spectrum, spanning wearables, smartphones (Motorola), laptops (ThinkPad, Yoga), PCs, workstations, servers, and services/solutions. This unmatched breadth gives us a unique canvas for AI innovation, including the ability to rapidly deploy cutting-edge foundation models and to enable flexible, hybrid-cloud, and agentic computing across our full product portfolio. To this end, we are building the next wave of AI core technologies and platforms that leverage and evolve with the fast-moving AI ecosystem, including novel models and agentic orchestration & collaboration across mobile, edge, and cloud resources. This space is evolving fast and so are we. If you’re ready to shape AI at a truly global scale, with products that touch every corner of life and work, there’s no better time to join us. #LATC

Position Summary

Lenovo is seeking a technical leader to head our AI Model Deployment & Optimization team. In this high-impact role, you will drive the developmentandlarge-scale deployment ofcutting-edgeAI capabilities across Lenovo devices and platforms–from on-device inference to cloud-enabled workloads. You will be responsible for adapting, fine-tuning, and optimizing open-source and proprietary foundation models for performance, efficiency, and user impact, ensuring they run seamlessly across a range of computing environments, including Windows and Android,and hardware architecturesfrom Qualcomm,nVidia, Intel, AMD, MediaTek, and others.

Your team will sit at the intersection of AI software, hardware acceleration, and product innovation, pushing the boundaries of model compression, quantization, pruning, distillation, and hardware-aware AI optimization. This is a unique opportunity to shape how AI reaches hundreds of millions of users globally.

Key Responsibilities

+ LeadLenovo’s AImodeldeployment and optimization across devices, laptops, and cloud environments.

+ Adapt, fine-tune, andoptimizeopen-source foundation models (e.g., OpenAI, Google,Microsoft, Meta) for Lenovo’s product portfolio.

+ Drive initiatives in model compression, quantization, pruning, and distillation to achieve maximum efficiency on constrained devices while preserving model quality.

+ Collaborate closely with hardware architecture teams to align AI model efficiency with device and accelerator capabilities.

+ Develop hardware-aware optimization algorithms and integrate them into model deployment pipelines.

+ Utilize the latest AI frameworksand libraries from the industry to get the best inferenceperformance out of the model and the hardware.

+ Establish andmaintainreproducible workflows, automation pipelines, and release-readiness criteria for AI models.

+ Build, mentor, and inspire a high-performance applied AI engineering team.

Required Qualifications

+ Experience:10+ years inproductionsoftware development, includingAI/ML engineering, with3+ years in leadership roles.Proventrack recordin model deploymentandoptimizationat scale.Demonstrated ability to deliver production-grade AI modelsoptimizedforon-device and/orcloud environments.

+ Optimization Techniques: Strongexpertisein quantization, pruning, distillation, graph optimization,mixed precision,and hardware-specific tuning (NPUs,GPUs, TPUs, custom accelerators).

+ Familiarity withmodel inference frameworks such asONNX Runtime,TensorRT, TVM,OpenVino,RadeonML, QNN,andNeuroPilot.

+ Data & Telemetry: Building feedback loops from runtime telemetry to guide retraining, routing, and optimization.

Preferred Qualifications

+ Graduate degree (MS or PhD) in Computer Science, AI/ML, Computational Engineering, or related field.

+ Experience deliveringproduction-grade model inferencing solutions for both cloud and edge

+ Familiarity with edge deviceconstraints related toWindows or Android, preferably both.

+ Track recordof collaboration with research institutions and contributions to open-source AI optimization libraries.

+ Security & Compliance: Ensuring secure deployments, model integrity verification, and adherence to privacy regulations.

+ Excellent leadership, communication, and cross-functional collaboration skills.

\#LATC\#LATC-LT

_We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class._

**Additional Locations** :

* United States of America - North Carolina - Morrisville

* United States of America

* United States of America - North Carolina

* United States of America - North Carolina - Morrisville