Sr. AI System Architect
Listed on 2026-02-07
-
IT/Tech
AI Engineer, Machine Learning/ ML Engineer
Overview
Req # WD
Career area:
Software Engineering
Country/Region:
United States of America
State:
North Carolina
City:
Morrisville
Date:
Tuesday, August 5, 2025
Working time:
Full-time
Additional Locations
:
United States of America - California - San Jose
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, infrastructure, software, solutions, and services.
Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).
Lenovo s AI Technology Center (LATC) is the global engine powering our hybrid-AI vision. As Lenovo s AI Center of Excellence, we re building a world-class team to define the next era of computing powered by AI. With Lenovo s unmatched product ecosystem, we have a unique platform to experiment, deploy, and scale AI across every layer of technology. Few companies can match the breadth of our canvas.
This is a generational shift and we re moving fast. At LATC, you ll join a team of bold innovators building transformative platforms at the intersection of AI and real-world impact. If you are ready to push boundaries and help shape the future of hybrid AI, this is where you belong. Let s build what s next-together.
Description and RequirementsPreferred locations for this role are San Jose and Morrisville, but we are able to consider fully remote talent as well for qualified applicants
Summary:
Lenovo is seeking a highly experienced and visionary Sr. Engineer, AI Architect to lead the design and implementation of our next-generation AI systems. This is a pivotal role responsible for the overall technical direction, architecture, and scalability of our AI platform. The ideal candidate is a deep generalist with a comprehensive understanding of the entire AI stack - from foundational models to application-level agents - and the ability to articulate complex technical concepts to both technical and non-technical audiences.
You will be one of the go-to experts for all things AI, guiding engineering teams and driving innovation in a rapidly evolving field. If you are passionate about making Smarter Technology For All, come help us realize our Hybrid AI vision!
Responsibilities:
- System Architecture: Design and maintain the overall architecture of our AI systems, ensuring scalability, reliability, and performance.
- Model Expertise: Possess in-depth knowledge of a wide range of AI models, including Large Language Models (LLMs), multimodal models (vision, speech, text), and their underlying principles.
- Training & Fine-tuning: Architect and oversee the training and fine-tuning of AI models, including techniques like Supervised Fine-Tuning (SFT), LoRA (Low-Rank Adaptation), and prompt tuning.
- Agent Design: Lead the design and implementation of intelligent agents, encompassing components like intent understanding, task decomposition and planning, and tool calling (e.g., using MCP - Model Context Protocol).
- Knowledge Management: Design and implement robust knowledge management systems, including vector databases, reranking models and algorithms, and knowledge graphs.
- Output Optimization: Select output sampling strategies to ensure high-quality, relevant, and coherent responses.
- Technical Leadership: Provide technical leadership and mentorship to engineering teams, guiding them through the implementation of complex AI solutions.
- Research & Innovation: Stay abreast of the latest advancements in AI research and identify opportunities to apply them to our products and services.
- Cross-Functional Collaboration: Work closely with product management, data science, and engineering teams to define requirements and deliver innovative AI solutions.
- System Documentation: Create and maintain comprehensive documentation of the AI system…
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