pWe are Lenovo. We do what we say. We own what we do. We WOW our customers. /p pLenovo 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). /p pThis 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 StoryHub . /p h3Description and Requirements /h3 pAre you excited about turning AI ideas into practical business solutions? In this internship, you will work directly with senior leaders to rapidly explore, prototype, and deliver focused AI, automation, and data solutions that address real business needs. You'll gain hands-on experience with modern AI technologies while building tools that create measurable impact across the organization. This is a highly practical role focused on delivering usable solutions quickly, learning through execution, and collaborating within a small delivery pod. /p pbWhat You Will Do /b /p ul libPartner /bwith senior leaders bto understand business challenges /b, clarify brequirements /b, and define brealistic solution /b bscopes /b. /li libPrototype /band bdeliver /blightweight AI applications, automation tools, dashboards, scripts, and internal productivity solutions. /li libBuild solutions /busing modern AI technologies, including LLM APIs, prompt engineering, retrieval-augmented generation (RAG), and AI-assisted development tools. /li liExtract, process, and analyze structured and unstructured bdata to support business decision-making /b. /li libApply /bcompany bsecurity /b, bconfidentiality /b, and bdata-handling requirements /b throughout the development lifecycle. /li libIterate /bquickly based on stakeholder feedback and continuouslyb improve delivered solutions /b. /li libCreate /bconcise btechnical documentation /b, handover bnotes /b, and usage bguidance /bto support future maintenance and scalability. /li liOpportunity to bcollaborate with /b bglobal stakeholders /b, with occasional meetings scheduled outside standard local business hours to support bdifferent time zones /b. /li /ul pbRequirements: /b /p ul liCurrently bpursuing a degree /b in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Information Systems, or a related field. /li liExperience building at least one software, AI, or data-related project through coursework, personal projects, research, hackathons, open-source contributions, or internships. /li liFamiliarity with bAPIs /b, version-control tools such as bGit /b, and working with data. /li liUnderstanding ofb AI application concepts /b, such as prompt engineering, structured outputs, AI agents, or RAG. /li libStrong analytical, problem-solving, /band bcommunication skills /b, with the ability to explain technical concepts to non-technical audiences. /li liAbility to manage well-defined assignments bindependently /b, communicate blockers proactively, and seek guidance when needed. /li liProfessional working bproficiency /bin bEnglish /b. /li /ul pbPreferred Qualifications:

/b /p ul liExperience with lightweight bapplication frameworks /bsuch as Streamlit, Gradio, Flask, FastAPI, React, or Next.js. /li liExposure to enterprise-approved bLLM platforms /b, bAI SDKs /b, or borchestration frameworks /b. /li liFamiliarity with retrieval-augmented generation (RAG), embeddings, semantic search, vector databases, tool calling, or agentic workflows. /li liHands‑on experience bworking with large datasets /b using standard data manipulation tool such as SQL, CSV data processing, pandas, Spark, R, PowerBI, or basic data visualization. /li liExposure to Microsoft 365, Microsoft Graph, Power Platform, Google Workspace, or related enterprise APIs. /li liFamiliarity with bworkflow-automation platforms /b such as Power Automate, n8n, or Retool. /li liBasic understanding of cloud services, containers, application deployment, authentication, and access control. /li liExperience bevaluating AI outputs /b for accuracy, consistency, groundedness, or other quality measures. /li /ul pAre you excited about turning AI ideas into practical business solutions? In this internship, you will work directly with senior leaders to rapidly explore, prototype, and deliver focused AI, automation, and data solutions that address real business needs. You'll gain hands-on experience with modern AI technologies while building tools that create measurable impact across the organization. This is a highly practical role focused on delivering usable solutions quickly, learning through execution, and collaborating within a small delivery pod. /p pbWhat You Will Do /b /p ul libPartner /bwith senior leaders bto understand business challenges /b, clarify brequirements /b, and define brealistic solution /b bscopes /b. /li libPrototype /band bdeliver /blightweight AI applications, automation tools, dashboards, scripts, and internal productivity solutions. /li libBuild solutions /busing modern AI technologies, including LLM APIs, prompt engineering, retrieval-augmented generation (RAG), and AI-assisted development tools. /li liExtract, process, and analyze structured and unstructured bdata to support business decision‑making /b. /li libApply /bcompany bsecurity /b, bconfidentiality /b, and bdata‑handling requirements /b throughout the development lifecycle. /li libIterate /bquickly based on stakeholder feedback and continuouslyb improve delivered solutions /b. /li libCreate /bconcise btechnical documentation /b, handover bnotes /b, and usage bguidance /bto support future maintenance and scalability. /li liOpportunity to bcollaborate with /b bglobal stakeholders /b, with occasional meetings scheduled outside standard local business hours to support bdifferent time zones /b. /li /ul pbRequirements: /b /p ul liCurrently bpursuing a degree /b in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Information Systems, or a related field. /li libProgramming experience /b in Python or another general-purpose language; JavaScript or TypeScript is a plus. /li liExperience building at least one software, AI, or data-related project through coursework, personal projects, research, hackathons, open‑source contributions, or internships. /li liFamiliarity with bAPIs /b, version‑control tools such as bGit /b, and working with data. /li liUnderstanding ofb AI application concepts /b, such as prompt engineering, structured outputs, AI agents, or RAG. /li libStrong analytical, problem-solving,

/band bcommunication skills /b, with the ability to explain technical concepts to non‑technical audiences. /li liAbility to manage well‑defined assignments bindependently /b, communicate blockers proactively, and seek guidance when needed. /li liProfessional working bproficiency /bin bEnglish /b. /li /ul pbPreferred Qualifications: /b /p ul liExperience with lightweight bapplication frameworks /bsuch as Streamlit, Gradio, Flask, FastAPI, React, or Next.js. /li liExposure to enterprise‑approved bLLM platforms /b, bAI SDKs /b, or borchestration frameworks /b. /li liFamiliarity with retrieval-augmented generation (RAG), embeddings, semantic search, vector databases, tool calling, or agentic workflows. /li liHands‑on experience bworking with large datasets /b using standard data manipulation tool such as SQL, CSV data processing, pandas, Spark, R, PowerBI, or basic data visualization. /li liExposure to Microsoft 365, Microsoft Graph, Power Platform, Google Workspace, or related enterprise APIs. /li liFamiliarity with bworkflow-automation platforms /b such as Power Automate, n8n, or Retool. /li liBasic understanding of cloud services, containers, application deployment, authentication, and access control. /li liExperience bevaluating AI outputs /b for accuracy, consistency, groundedness, or other quality measures. /li /ul h3What We Offer: /h3 ul liOpportunities for career development growth /li liPerformance based rewards /li liHybrid working model (home office/office) /li liUp to 3 paid Personal Days annually /li liAdditional vacation days /li li100% sick leave compensation up to 2 months per year /li liA broad selection of soft / hard skills trainings and individual mentoring /li liEmployer contribution to the Third Pillar Pension System /li liLife life events insurance, fully covered by company /li /ul pWe 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. /p pbAdditional Locations /b: * Italy - Milano /p pbPAY TRANSPARENCY /b /p pThe anticipated initial gross base salary range for this position is b29,200–39,000 /bbEUR /bper year. This range applies to the primary job location Italyand is determined using objective, non-discriminatory and gender‑neutral criteria, including skills and relevant experience. Final compensation will be based on relevant experience, skills, and business considerations. /p pIndividuals may also be eligible for variable compensation (such as premio or commission), depending on the role. The applicable variable pay model, eligibility, and target levels will be discussed during the recruitment process. /p pIn addition to base salary and any applicable variable compensation, Lenovo provides statutory remuneration components required by local law, as well as Lenovo's comprehensive benefits package supporting employee well-being, development, and equal opportunities. /p pFor roles open across multiple countries, local base salary ranges may vary based on market conditions, internal frameworks, and legal requirements. The relevant local range will be transparently communicated during the initial discussions. /p pbAI PROCESSING NOTICE /b /p pWe use AI‑based tools to support some of our processes (e.g. online interviews recordings and transcripts) in order to achieve better efficiency, accuracy and for our documentation purposes. AI can make mistakes, but we always make sure that the outputs are manually reviewed by a human. You can always opt‑out or contact us in case of any question. /p pIf you require an accommodation to complete this application, please contact /p #J-18808-Ljbffr

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