Sr. Engineer, AI Architect
Confirmed on the employer's own hiring board on Oct 22, 2026. First seen by Alion on Oct 3, 2026. Lenovo scores A on the Alion truth index.
Summary:
Lenovo isseekinga highly experienced and visionarySr.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 beone ofthe go-to expertsfor all things AI, guiding engineering teams and driving innovation in a rapidly evolving field.If you are passionate about making Smarter TechnologyForAll, come help us realize our Hybrid AI vision!
Responsibilities:
System Architecture: Design andmaintainthe overall architecture of our AI systems, ensuring scalability, reliability, and performance.
Model Expertise: Possessin-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-ModelContext Protocol).
Knowledge Management: Design and implement robust knowledge management systems, including vector databases, rerankingmodels andalgorithms, and knowledge graphs.
Output Optimization: Selectoutput 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 andidentifyopportunities 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 andmaintaincomprehensive documentation of the AI system architecture and components.
Required Qualifications:
Advanced degree (Ph.D. preferred) in Computer Science, Artificial Intelligence, ora relatedfield.
12+ years of experience designing and implementing AI systems.
Understanding ofMachine Learning and Deep Learning principles.
Extensive experience with Large Language Models (LLMs) and Transformer architectures.
Hands-on experience with multimodal models.
Proficiencyin programming languages such as Python.
Experience with Machine Learning frameworks such asPyTorch.
Strong understanding of vector databases and embedding models.
Experience with knowledge graphs and knowledge base management.
Familiarity with prompt engineering techniques and prompt optimization.
Preferred Qualifications:
Experience withMLOpspractices 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.
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.