Sr. Engineer, AI Architect

Lenovo•Morrisville, NC

7h•$184,700 - $283,245•Hybrid

About The Position

Lenovo is seeking a highly experienced and visionary Sr. 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!

Requirements

Advanced degree (Ph.D. preferred) in Computer Science, Artificial Intelligence, or a related field.
12+ years of experience designing and implementing AI systems.
Understanding of Machine Learning and Deep Learning principles.
Extensive experience with Large Language Models (LLMs) and Transformer architectures.
Hands-on experience with multimodal models.
Proficiency in programming languages such as Python.
Experience with Machine Learning frameworks such as PyTorch.
Strong understanding of vector databases and embedding models.
Experience with knowledge graphs and knowledge base management.
Familiarity with prompt engineering techniques and prompt optimization.

Nice To Haves

Experience with MLOps practices and deploying AI models to production.
Contributions to open-source AI projects.
Publications in leading AI conferences or journals.
Familiarity with Atlassian tools (Jira, Confluence)
Excellent communication, interpersonal, and presentation skills, including clear descriptions and document generation, such as class diagrams, sequence diagrams, and protocol definitions.

Responsibilities

Design and maintain the overall architecture of our AI systems, ensuring scalability, reliability, and performance.
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.
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.
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).
Design and implement robust knowledge management systems, including vector databases, reranking models and algorithms, and knowledge graphs.
Select output sampling strategies to ensure high-quality, relevant, and coherent responses.
Provide technical leadership and mentorship to engineering teams, guiding them through the implementation of complex AI solutions.
Stay abreast of the latest advancements in AI research and identify opportunities to apply them to our products and services.
Work closely with product management, data science, and engineering teams to define requirements and deliver innovative AI solutions.
Create and maintain comprehensive documentation of the AI system architecture and components.