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Lenovo

Senior AI Developer

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Description


Lenovo’s Solutions & Services Group (SSG) is seeking a Senior AI Developer to design and deliver advanced Generative and Agentic AI solutions that drive innovation at scale. This role focuses on building end-to-end, production-ready AI systems, integrating cutting-edge models into enterprise environments, and shaping scalable architectures across cloud, on-premise, and edge platforms. Working at the intersection of engineering and business, you will play a key role in translating complex AI capabilities into real-world impact. Reports to the Director, SSG AI Offerings.



Key Responsibilities:

  • Design and develop advanced Generative and Agentic AI solutions aligned with enterprise standards and business goals
  • Build end-to-end AI systems, including architectures, models, agents, inference engines, and user interfaces
  • Work with LLMs, SLMs, VLMs, and modern frameworks to deliver scalable, production-ready AI applications
  • Integrate AI solutions into existing platforms across cloud, on-premise, and edge environments
  • Identify and implement cutting-edge tools, frameworks, and technologies to optimize AI performance and efficiency
  • Ensure robust security practices, including data protection, access controls, and vulnerability management
  • Apply best practices in AIOps and AI development across both experimental and production environments
  • Support solution design and pre-sales activities, clearly communicating technical concepts to diverse stakeholders

Qualifications & Experience:

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field
  • 5+ years of experience in AI development across areas such as machine learning, NLP, computer vision, or Generative AI
  • Hands-on experience building end-to-end Generative AI solutions, including multi-modal systems using leading platforms and models
  • Familiarity with NVIDIA technologies (GPUs, CUDA, TensorRT) and integration of AI Enterprise tools is a strong advantage
  • Strong understanding of cloud and on-premise environments, including containerization and scaling with Kubernetes
  • Proven experience with MLOps, LLMOps, or AIOps and managing CI/CD pipelines using tools like Jenkins or GitLab
  • Strong programming skills, particularly in Python, with experience in modern development frameworks and scripting
  • Ability to design scalable, production-ready AI systems and work effectively across diverse technical environments

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 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


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