07 ott - Cremona
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 StoryHub .
Description and Requirements
Are 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.
What You Will Do
Partner
with senior leaders
to understand business challenges
, clarify
requirements
, and define
realistic solution
scopes
.
Prototype
and
deliver
lightweight AI applications, automation tools, dashboards, scripts, and internal productivity solutions.
Build solutions
using modern AI technologies, including LLM APIs, prompt engineering, retrieval-augmented generation (RAG), and AI-assisted development tools.
Extract, process, and analyze structured and unstructured
data to support business decision-making
.
Apply
company
security
,
confidentiality
, and
data-handling requirements
throughout the development lifecycle.
Iterate
quickly based on stakeholder feedback and continuously
improve delivered solutions
.
Create
concise
technical documentation
, handover
notes
, and usage
guidance
to support future maintenance and scalability.
Opportunity to
collaborate with
global stakeholders
, with occasional meetings scheduled outside standard local business hours to support
different time zones
.
Requirements:
Currently
pursuing a degree
in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Information Systems, or a related field.
Experience building at least one software, AI, or data-related project through coursework, personal projects, research, hackathons, open-source contributions, or internships.
Familiarity with
APIs
, version-control tools such as
Git
, and working with data.
Understanding of
AI application concepts
, such as prompt engineering, structured outputs, AI agents, or RAG.
Strong analytical, problem-solving,
and
communication skills
, with the ability to explain technical concepts to non-technical audiences.
Ability to manage well-defined assignments
independently
, communicate blockers proactively, and seek guidance when needed.
Professional working
proficiency
in
English
.
Preferred Qualifications:
Experience with lightweight
application frameworks
such as Streamlit, Gradio, Flask, FastAPI, React, or Next.js.
Exposure to enterprise-approved
LLM platforms
,
AI SDKs
, or
orchestration frameworks
.
Familiarity with retrieval-augmented generation (RAG), embeddings, semantic search, vector databases, tool calling, or agentic workflows.
Hands?on experience
working with large datasets
using standard data manipulation tool such as SQL, CSV data processing, pandas, Spark, R, PowerBI, or basic data visualization.
Exposure to Microsoft 365, Microsoft Graph, Power Platform, Google Workspace, or related enterprise APIs.
Familiarity with
workflow-automation platforms
such as Power Automate, n8n, or Retool.
Basic understanding of cloud services, containers, application deployment, authentication, and access control.
Experience
evaluating AI outputs
for accuracy, consistency, groundedness, or other quality measures.
Are 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.
What You Will Do
Partner
with senior leaders
to understand business challenges
, clarify
requirements
, and define
realistic solution
scopes
.
Prototype
and
deliver
lightweight AI applications, automation tools, dashboards, scripts, and internal productivity solutions.
Build solutions
using modern AI technologies, including LLM APIs, prompt engineering, retrieval-augmented generation (RAG), and AI-assisted development tools.
Extract, process, and analyze structured and unstructured
data to support business decision?making
.
Apply
company
security
,
confidentiality
, and
data?handling requirements
throughout the development lifecycle.
Iterate
quickly based on stakeholder feedback and continuously
improve delivered solutions
.
Create
concise
technical documentation
, handover
notes
, and usage
guidance
to support future maintenance and scalability.
Opportunity to
collaborate with
global stakeholders
, with occasional meetings scheduled outside standard local business hours to support
different time zones
.
Requirements:
Currently
pursuing a degree
in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Information Systems, or a related field.
Programming experience
in Python or another general-purpose language; JavaScript or TypeScript is a plus.
Experience building at least one software, AI, or data-related project through coursework, personal projects, research, hackathons, open?source contributions, or internships.
Familiarity with
APIs
, version?control tools such as
Git
, and working with data.
Understanding of
AI application concepts
, such as prompt engineering, structured outputs, AI agents, or RAG.
Strong analytical,
problem-solving,
and
communication skills
, with the ability to explain technical concepts to non?technical audiences.
Ability to manage well?defined assignments
independently
, communicate blockers proactively, and seek guidance when needed.
Professional working
proficiency
in
English
.
Preferred Qualifications:
Experience with lightweight
application frameworks
such as Streamlit, Gradio, Flask, FastAPI, React, or Next.js.
Exposure to enterprise?approved
LLM platforms
,
AI SDKs
, or
orchestration frameworks
.
Familiarity with retrieval-augmented generation (RAG), embeddings, semantic search, vector databases, tool calling, or agentic workflows.
Hands?on experience
working with large datasets
using standard data manipulation tool such as SQL, CSV data processing, pandas, Spark, R, PowerBI, or basic data visualization.
Exposure to Microsoft 365, Microsoft Graph, Power Platform, Google Workspace, or related enterprise APIs.
Familiarity with
workflow-automation platforms
such as Power Automate, n8n, or Retool.
Basic understanding of cloud services, containers, application deployment, authentication, and access control.
Experience
evaluating AI outputs
for accuracy, consistency, groundedness, or other quality measures.
What We Offer:
Opportunities for career development & growth
Performance based rewards
Hybrid working model (home office/office)
Up to 3 paid Personal Days annually
Additional vacation days
100% sick leave compensation up to 2 months per year
A broad selection of soft / hard skills trainings and individual mentoring
Employer contribution to the Third Pillar Pension System
Life & life events insurance, fully covered by company
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.
Additional Locations
: * Italy - Milano
PAY TRANSPARENCY
The anticipated initial gross base salary range for this position is
29,******,000
EUR
per 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.
Individuals 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.
In 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.
For 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.
AI PROCESSING NOTICE
We 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.
If you require an accommodation to complete this application, please contact
#J-*****-Ljbffr
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