AI Software Development Led
Listed on 2025-12-02
-
IT/Tech
AI Engineer, Machine Learning/ ML Engineer, Data Scientist, Data Analyst
General Information
Req # : WD
Career area:
Research/Development
Country/Region:
United States of America
State:
North Carolina
City:
Morrisville
Date:
Friday, September 19, 2025
Working time:
Full-time
United States of America - North Carolina - Morrisville
Why Work at LenovoWe 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.
Description and RequirementsWe are seeking an experienced AI Software Development lead to develop requirements, design and oversee the development of an Agentic AI platform
to streamline developing Agentic AI Applications on PC infrastructure. In this role, you will collaborate with other experts in the AI field to develop a strategy for selling services on PCs and implement that strategy,
Responsibilities:
- Develop and oversee the framework for AI and Generative AI software solutions, ensuring alignment with company's strategic goals and technical standards.
- Provide technical leadership and guidance to development teams. Ensure best practices are followed in AI Solution development, deployment, and maintenance.
- Collaborate with business stakeholders to identify key business challenges and opportunities and translate them into AI solutions and products.
- Conduct pre‑sales conversations, solution AI implementations, and participate in RFP/RFI responses.
- Lead cross‑functional teams and other data scientists to design and implement AI solutions that improve business processes and decision‑making. Provide technical direction and mentorship to development teams, fostering best practices in AI development and deployment.
- Design and develop end‑to‑end AI solutions, including AI architectures, incorporating the appropriate LLMs, building AI Agents, and leveraging AI related technologies like MCP.
- Oversee the integration of AI solutions into existing systems and workflows.
- Recommend and implement appropriate tools, frameworks, and technologies that enhance the effectiveness of AI solutions.
- Integrate security measures into the AI solutions, including data encryption, access controls, and vulnerability assessments.
- Develop detailed documentation, including system diagrams, data flows, integration points, and technical specifications.
- Define and enforce architectural standards, coding guidelines, and best practices across the project.
- Stay up‑to‑date with the latest advancements in AI technologies and methodologies. Propose and implement innovative approaches to improve existing solutions and develop new AI capabilities.
- Communicate findings and insights to both technical and non‑technical stakeholders in a clear and concise manner.
Basic Qualifications:
- Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
- 5+ years of experience in AI solution design and implementation in various AI domains such as Data Science, ML, NLP, Computer Vision, Generative AI.
- 2+ years of Generative AI development and solutioning, including multi‑modal solutions, leveraging GPUs/NPUs in a PC environment, OpenAI, Anthropic, Llama, Hugging Face, Bedrock, or other models and model suites.
Preferred Qualifications:
- Ability to…
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