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AI Data Specialist

Listing for: Lenovo Inc.
Full Time position Listed on 2026-11-07
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Data Engineering, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 121000 - 185000 USD Yearly USD 121000.00 185000.00 YEAR

Job Description & How to Apply Below

* United States of America
- North Carolina
- Morrisville

Why Work at Lenovo

We are Lenovo. We do what we say. We own what we do. We WOW our customers.

Lenovo is a US $83 billion revenue global technology powerhouse, ranked #153 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 Requirements

Job Summary:

As an AI Data Specialist, you will play a key role in the design, development, and deployment of an Agentic AI platform that streamlines the creation of AI-driven customer solutions. You will work closely with AI engineers and cross-functional teams to support the deployment, integration, and scaling of AI services across enterprise environments. In this role, you will leverage your expertise in data management, AI technologies, and development practices to build efficient, reusable, and scalable data-driven solutions.

You will be responsible for ensuring that data pipelines, models, and AI components are effectively integrated into a cohesive and high-performing platform. To succeed, you should possess a strong understanding of AI and data ecosystems, demonstrate hands-on technical skills, and have the ability to transform complex data and AI tools into standardized, repeatable solutions that drive business value.

This is a remote role based in the US. Please see below for important information regarding the recruiting process for fully remote roles.

Job Responsibilities AI Solution Development
  • Design and deploy AI solutions using LLMs, SLMs, VLMs, and Agentic AI frameworks.
Support AI architecture, solution design, and proof-of-concept initiatives.
  • Build scalable data pipelines for ingestion, transformation, and enrichment.
  • Develop RAG solutions using vector databases such as Milvus and PGVector .
AI Platform & Integration
  • Integrate AI services, APIs, and microservices into enterprise platforms.
  • Optimize model training and inference using GPU-accelerated technologies.
MLOps & Operations
  • Implement MLOps , LLMOps , and pipeline orchestration best practices.
  • Monitor, optimize, and maintain AI workflows and platform performance.
Security & Documentation
  • Ensure data security, governance, and compliance requirements are met.
  • Create technical documentation and maintain high-quality, reusable code.
  • Partner with cross-functional teams to deliver scalable AI solutions.
  • Evaluate and adopt emerging AI and data technologies to improve platform capabilities.
Basic Qualifications
  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, Artificial Intelligence, or a related field.
  • 5+ years of experience in AI/data engineering and implementation roles, including data engineering, machine learning, NLP, or Generative AI-focused data solutions.
  • 2+ years of hands‑on experience in building end‑to‑end Generative AI and data-driven solutions, including data preprocessing, embedding generation, and…
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