Cloud AI Architect — Global Innovation Center (GIC), Lenovo

About Lenovo

Lenovo is a US$69 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, serving millions of customers every day in 180 markets. Lenovo delivers Smarter Technology for All 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).

Role Overview

We are looking for a Cloud AI Architect within the Global Innovation Center (GIC) Group. You will own the technical architecture for Lenovo's AI platform systems — from LLM-powered applications to multi-agent solutions that interact with enterprise data sources and external services. You will translate business roadmap into implementable architecture, guide delivery teams through build-out, and be accountable for the performance, cost, and security posture of what ships.

What You'll Own

• End-to-end architecture for generative AI products and applications, from design through implementation guidance during delivery.
• Agentic AI system design: autonomous agents with reasoning, planning, tool-use, and multi-step execution capabilities, including multi-agent workflows using Agent-to-Agent (A2A) communication patterns.
• Integration architecture for connecting LLM-based agents to enterprise applications, databases, and APIs via Model Context Protocol (MCP) or equivalent context-grounding mechanisms.
• LLM selection, fine-tuning, and operationalization — including open-source model fine-tuning, cost modeling across usage patterns, and inference optimization.
• ML pipeline design for processing large volumes of structured and unstructured data, including data preprocessing, feature engineering, and model training/validation.
• Responsible AI and security architecture for LLM-based solutions.
• Performance analysis of generative AI systems with concrete design recommendations.
• Reusable component and pattern libraries for LLM solution development.
• Technical documentation that captures architecture decisions, tradeoffs, and operational details clearly enough for other engineers to build from.

Basic Qualifications

• Bachelor's degree in Computer Science or a related field, or 10+ years of equivalent hands-on experience in software engineering and AI/ML architecture.
• 8+ years designing and deploying AI/ML solutions on at least one major cloud platform (AWS, Azure, GCP).
• 3+ years working with LLMs and generative AI, including at least 2 years architecting and operationalizing LLM-driven application patterns in production.
• Must be able to work onsite 3 days per week in Morrisville, North Carolina (relocation accepted).

Preferred Qualifications

• Experience with agentic AI frameworks such as LangChain, LangGraph, AutoGPT, CrewAI, or similar.
• Hands-on experience with AI/ML frameworks such as PyTorch, TensorFlow, scikit-learn, or MLflow.
• Hands-on experience fine-tuning at least one open-source LLM.
• Working proficiency with container technologies (Docker, Kubernetes) and Linux server administration.
• Experience with code management tooling (Git).
• Direct experience implementing MCP-based context grounding for AI agents.
• Direct experience with A2A communication protocols for multi-agent orchestration.
• Track record architecting globally distributed, highly available cloud solutions.
• Experience with cloud monitoring, logging, and observability tooling at scale.
• Experience working with distributed teams and third-party vendors.
• Strong written and verbal communication skills.

Equal Opportunity

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.