Senior AI Developer
Posted Updated
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