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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 www.lenovo.com, and read about the latest news via our StoryHub.
Role
We are looking for a passionate and experienced AI Engineer to design, build, and deploy next-generation AI solutions using Machine Learning, Generative AI, Large Language Models (LLMs), and Agentic AI frameworks. This role offers an opportunity to drive innovation, solve complex business problems, and shape the future of AI-powered products and services at scale.
Key Responsibilities
AI Solution Design Development
- Design, develop, and deploy scalable AI applications leveraging Machine Learning, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI frameworks.
- Lead the end-to-end lifecycle of AI projects, including requirement analysis, solution architecture, development, testing, deployment, and ongoing optimization.
- Build intelligent AI assistants, AI agents, domain-specific copilots, chatbots, and workflow automation solutions that deliver measurable business value.
- Develop and optimize LLM-powered applications while ensuring performance, reliability, scalability, and security.
Data Engineering Model Optimization
- Design and maintain robust data pipelines for data collection, transformation, feature engineering, and model training.
- Implement model evaluation frameworks, performance monitoring, prompt engineering strategies, and continuous improvement methodologies.
- Apply best practices for AI governance, responsible AI, model observability, and production deployment.
Software Engineering Integration
- Write high-quality, maintainable, and production-ready code using Python and modern AI development frameworks.
- Integrate AI capabilities with enterprise systems, APIs, cloud platforms, backend services, and business applications.
- Build scalable microservices and AI-enabled enterprise solutions following software engineering best practices.
Collaboration Leadership
- Partner with product managers, architects, engineers, and business stakeholders to translate business challenges into AI-driven solutions.
- Provide technical leadership in AI solution design, architecture reviews, and technology selection.
- Mentor junior engineers and foster knowledge sharing across AI, data, and engineering teams.
- Contribute to AI standards, development frameworks, and organizational best practices.
Innovation Research
- Stay current with advancements in AI, Generative AI, Agentic AI, LLMs, and emerging technologies.
- Evaluate new tools, frameworks, and platforms and provide recommendations for enterprise adoption.
- Drive innovation through experimentation, proof-of-concepts (POCs), and continuous improvement initiatives.
Required Qualifications
- Bachelor's Degree in Engineering, Computer Science, Information Technology, Artificial Intelligence, Data Science, or a related discipline.
- 5+ years of relevant experience in AI/ML, software engineering, data science, or AI solution development.
- Strong programming expertise in Python and experience with modern software development practices.
- Hands-on experience with Generative AI, LLMs, prompt engineering, RAG architectures, AI agents, and Agentic AI frameworks.
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.
