Director, AI Engineering Enablement - REMOTE

General Information

Req #: WD

Career area:
Artificial Intelligence

Country/Region:
United States of America

State:
North Carolina

City:
Morrisville

Date:
Monday, December 15, 2025

Working time:
Full-time

• United States of America - North Carolina - Morrisville

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 , and read about the latest news via our Story Hub.

Lenovo is building a next-generation AI ecosystem across devices and cloud. As Director, AI Engineering Enablement, you will lead the cross-functional engineering programs that take our AI capabilities from early concept to global launch. This is a technical program leadership role inside engineering, not a generic PMO. You will work closely with leaders across Platform, AI Core Intelligence, AI Experience, Cloud Infra, Quality, SRE & Delivery to ensure we can reliably design, build, test, integrate, and ship AI products at scale.

Leading cross-functional AI engineering initiatives from 01 through global rollout.

Driving the adoption and evolution of tools that help engineers build, debug, and ship more effectively.

Ensuring what we build can be adopted, deployed, and operated by commercial customers.

• Lead major cross-functional engineering agile programs within AI Engineering (for example: new AI product lines, reliability/performance hardening, cross-device feature programs, technical migrations).
• Work with functional leaders in Platform, Core Intelligence, Experience, Cloud, and SRE & Delivery to define scope, milestones, technical dependencies, and integration points.
• Ensure programs move from prototype to production with clear gates, owners, and timelines, and that teams are set up for success from the beginning.
• Identify and unblock cross-team issues that threaten program delivery, drive decisions, and keep execution on track.

• Own the roadmap for engineering-facing tools that support developers and feature teams across AI Engineering (for example: engineering dashboards, debugging utilities, test harnesses, experimentation and telemetry views for engineers).
• Work closely with engineering teams to understand their day-to-day friction points and prioritize tools that materially improve productivity and code quality.
• Ensure common tools and practices are adopted across teams so engineers have a consistent and efficient way of building, testing, and integrating features.
• Partner with SRE & Delivery and Platform teams so engineering tools integrate well with our existing observability and infrastructure stack.

• Partner with security, IT, and commercial product stakeholders to ensure AI Engineering solutions can be adopted by business customers (CIO, CSO, IT organizations).
• Translate commercial requirements such as security posture, deployment and configuration models, integration patterns, observability, manageability, identity and audit into concrete engineering programs and work streams.
• Coordinate engineering readiness for commercial milestones (previews, pilots, general availability launches) and ensure the right technical checks and documentation are in place.
• Serve as a voice of the commercial customer within AI Engineering, making sure early-stage product decisions anticipate commercial adoption and not just consumer scenarios.

• Build and lead a small, high-impact team focused on engineering enablement across these three pillars.
• Collaborate closely with AI Engineering leadership (Platform, Core Intelligence, Experience, Cloud, SRE, TPM) to align programs and tools with their roadmaps and priorities.
• Partner with the broader PMO teams to align engineering plans with product and business timelines, while making sure engineering realities and risks are well understood.
• Communicate status, risks,…