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 nd on-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
Bookster subscription 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.
Additional Locations
Romania
Romania
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.
