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Salary
≈ $37k – $93k per year (Estimated)
Location
In office (Bucharest)
Seniority
Senior · 5+ years exp

Confirmed on the employer's own hiring board on Oct 5, 2026. First seen by Alion on Oct 3, 2026.

Overview
Company
Impact
Profile match
Lenovo Group Limited is a global technology enterprise specializing in personal computing, smart devices, data center infrastructure, and enterprise IT services. Headquartered in Beijing, China, and Morrisville, North Carolina, United States - with its registered office in Hong Kong - the publicly traded corporation operates across three primary business divisions: the Intelligent Devices Group (IDG), the Infrastructure Solutions Group (ISG), and the Solutions and Services Group (SSG). Through an extensive product and services portfolio encompassing ThinkPad and IdeaPad personal computers, Motorola smartphones, ThinkSystem enterprise servers, edge computing hardware, and hybrid cloud solutions, the enterprise provides hardware, software, and managed IT services to commercial clients, public institutions, and retail consumers across more than 180 markets worldwide.

Join Lenovo’s Solutions & Services Group (SSG) and help shape enterprise-grade AI solutions that drive real business impact. In this role, you’ll design and deliver end-to-end Generative and Agentic AI systems, working with advanced models (LLMs, SLMs, VLMs) across cloud, on-premise, and edge environments, while ensuring scalability, security, and high engineering standards.

You’ll collaborate with cross-functional teams and stakeholders globally, contributing to solution design, innovation, and pre-sales initiatives. This role reports to the Director, SSG AI Offerings and offers the opportunity to work at the forefront of AI technologies within a dynamic, enterprise-focused environment.

Key Responsibilities:

  • Develop Generative and Agentic AI solutions aligned with Lenovo’s strategy and enterprise technical standards
  • Design and build end-to-end AI systems, including architectures, inference engines, agents, and user interfaces
  • Work with LLMs (Large Language Models), SLMs (Small Language Models), and VLMs (Vision Language Models), leveraging MCP and open-source frameworks
  • Integrate AI solutions into existing platforms across cloud, on-premise, and edge environments
  • Identify and implement the right AI tools, frameworks, and technologies to improve solution performance and efficiency
  • Ensure strong security practices, including data encryption, access control, and vulnerability assessments
  • Apply AIOps (Artificial Intelligence for IT Operations) and development best practices across both experimental and production environments
  • Support pre-sales activities (RFP/RFI - Request for Proposal / Request for Information), solution design, documentation, and clear communication with technical and non-technical stakeholders

Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field
  • 5+ years of experience in AI development across domains such as data science, machine learning, NLP (Natural Language Processing), computer vision, or Generative AI
  • 2+ years building end-to-end Generative AI solutions, including multi-modal use cases using cloud-based and open-source models (e.g., OpenAI, Anthropic, Llama, Hugging Face, AWS Bedrock)
  • Hands-on experience with LLMs (Large Language Models) and AI solution deployment in enterprise environments
  • Familiarity with NVIDIA technologies (GPUs, CUDA, TensorRT) and integration of NVIDIA AI Enterprise tools in on-premise setups is a plus
  • Strong understanding of cloud and on-premise infrastructure, including containerization and scaling with Kubernetes
  • Proven experience with MLOps, LLMOps, or AIOps, and managing CI/CD (Continuous Integration / Continuous Deployment) pipelines using tools like Jenkins or GitLab
  • Strong programming skills in Python, React, and scripting languages, with ability to build scalable and production-ready solutions

Benefits:

Compensation & Rewards

  • Performance-based salary reviews and annual bonuses
  • Meal tickets, service anniversary awards, and referral bonuses
  • Employee share purchase program
  • Scholarships for employees’ children
Health & Well-being
  • Fully covered private medical insurance
  • Annual well-being allowance for sports, training, relaxation, and therapy ,and ndon-site chair massage
  • Life & accident insurance with extra medical coverage
  • Employee Assistance Program
Training & Development
  • Technical Ladder & Sales Excellence programs
  • Individual Career Development Plans with mentoring
  • Bookstersubscription for continuous learning
Time Away
  • 21-28 vacation days depending on tenure
  • Sick days and extra paid leave for public holidays on weekends
  • Additional paid leave for employees with children

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.

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